Staff Engineer remote jobs

Our MEP consulting client seeks a motivated Mechanical Engineer to support HVAC and mechanical system design for New York City based projects. Public sector expertise is prioritized, but commercial and industrial experience is valued as well. Responsibilities Design and develop HVAC, plumbing, and mechanical systems for transportation and infrastructure related public sector projects. Prepare design drawings, technical specifications, and construction documents using AutoCAD and/or Revit. Perform system load calculations, energy modeling, and equipment selections. Ensure all designs comply with applicable codes and standards (ASHRAE, IMC, IPC, NFPA, etc.). Coordinate with architects, structural, electrical, and civil engineers to integrate designs. Conduct site visits, field inspections, and assist with construction administration. Support project budgets, schedules, and quality control efforts. Mentor junior engineers and drafters as needed. Qualifications Bachelor's degree in Mechanical Engineering 3-6 years of professional experience EIT required; PE license preferred Proven experience working with NYC agencies and clients Strong understanding of NYC Mechanical Code and ASHRAE standards Proficiency in Revit and/or AutoCAD Proficiency in Microsoft Office Suite Proficiency in Blubeam Familiarity with Trane Trace or Carrier HAP for load calculations Strong communication and organizational skills This firm offers; Hybrid working from home policy 4 weeks of PTO Summer Friday's Annual bonus Yearly pay review Potential Signing bonus

We inspire purpose-filled living that brings beauty and quality to the modern home. Together, we achieve. Associates across our business drive results, innovate, and inspire. Drawn together by our shared values and passion for our customers and our brands, we deliver home furnishings that are expertly designed, responsibly sourced, and bring timeless style and function to peoples homes. From the day we opened our first store in Chicago in 1962 to the digital innovations that engage millions of customers today, our iconic brand is over 60 years in the makingand our story is still unfolding. Were here for it. We think you should be too. Were looking for a driven professional with an inclusive mindset to join our team as a Sr Manager, Development - Payments We are seeking an experienced Senior Manager to lead the design and evolution of our enterprise payments team and systems. This role is critical to driving our payment technology strategy, ensuring scalability, security, and compliance while delivering exceptional customer experiences. The successful candidate will design and manage solutions that handle payment processing, support multiple payment methods, and integrate with various financial institutions and payment networks. This position is fully remote This role is a People leader position Be one of the first applicants, read the complete overview of the role below, then send your application for consideration. A day in the life as a Sr Manager, Development - Payments Design, manage team and execute enterprise-level digital and retail payment system supporting card payments, digital wallets, remote payments, buy now pay later and emerging payment methods Lead design decisions for payment processing platforms, including real-time transaction processing, settlement systems, and reconciliation frameworks Establish technical standards and best practices for payment system development Evaluate and recommend payment technology vendors, platforms, and third-party integrations Develop fraud detection and prevention systems integrated with payment flows and multi-channel payment acceptance (online, mobile, in-store, call center, API) Create technical specifications for payment routing, switching, and optimization systems Develop real-time payment monitoring, alerting, and reporting capabilities Ensure payment systems meet PCI DSS and other relevant regulatory requirements Develop tokenization, encryption, and secure key management solutions Implement security-by-design principles across all payment touchpoints and collaborate with security teams on vulnerability assessments and penetration testing Develop APIs and integration patterns for payment service providers, acquiring banks, and card networks Develop solutions for payment orchestration xevrcyc and intelligent routing Define standards for payment data formats, messaging protocols, and communication interfaces Develop integration patterns for enterprise financial systems, accounting platforms, and business applications Mentor development teams on payment domain knowledge and career goals Lead technical design reviews and governance processes Collaborate with product managers, business analysts, and stakeholders on payment features Work with DevOps teams on CI/CD pipelines and deployment strategies for payment systems What youll bring to the table Understanding of payment ecosystem: acquirers, processors, schemes, and regulatory bodies and knowledge of fraud detection algorithms and risk management systems Experience with payment tokenization, 3DS authentication, Authorization strategy, capture strategy, refund strategy and security p

About the Role We're building a talent pool for Senior Go Engineers with video background experience. This pipeline role is for engineers with strong experience, skilled in building high-performance, scalable backend systems, and following best practices for architecture, performance, and maintainability. You'll work on building and maintaining robust video infrastructure, including streaming pipelines, processing services, and backend APIs that deliver content reliably to millions of users. If you enjoy solving complex backend challenges in video systems, such as HLS/DASH packaging, transcoding pipelines, CDN integrations, and performance optimization, this role is for you. What You'll Do - Design, develop, and maintain high-performance Go backend services for video streaming and processing. - Build scalable pipelines for video ingestion, transcoding, packaging (HLS/DASH), and delivery. - Troubleshoot and optimize backend performance, latency, and reliability for large-scale video systems. - Collaborate with frontend, product, and DevOps teams to enhance video platform quality, scalability, and maintainability. - Integrate and manage third-party services and SDKs for analytics, DRM, or monitoring. - Contribute to CI/CD pipelines, performance monitoring, and deployment processes. - Stay up-to-date with emerging backend and video streaming technologies. What We're Looking For - 5+ years of professional experience in backend development using Go (Golang). - Strong experience building and maintaining high-performance, scalable backend systems. - Hands-on experience with video streaming protocols (HLS, DASH, MPEG-TS) and adaptive bitrate streaming. - Experience with concurrency, multithreading, and performance optimization in Go. - Familiarity with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes). - Experience with RESTful and GraphQL APIs, message queues, and data pipelines. - Strong problem-solving skills and ability to debug complex distributed systems. - Proven ability to deliver maintainable, high-quality code in production environments. Nice To Have - Experience with video QoE analytics platforms (e.g., Mux, Conviva, Youbora). - Background in OTT, streaming media platforms, or large-scale video infrastructure. Why Join Kake? Kake is a remote-first company with a global community - fully believing that it's not where your table is, but what you bring to the table that matters. We provide top-tier engineering teams to support some of the world's most innovative companies, and we've built a culture where great people stay, grow, and thrive. We're proud to be more than just a stop along the way in your career - we're the destination. The icing on the Kake: 🏡 Fully Remote - Simply put, we trust you. 🌱 Better Me Fund - We invest in your personal growth and passions. ❤️ Compassion is Badass - Join a community that invests in social good.

Senior AI Engineer - Video Search (Applied Research & Product) Remote - United States About the Company We're partnering with a U.S-based applied AI company building next-generation real-time video understanding systems deployed at scale across enterprise, government, and public environments. The platform combines cutting-edge multimodal AI, vector search, and high-performance inference pipelines to make visual data searchable, interpretable, and actionable in real time. This is a chance to join a well-funded, mission-driven organization with over tens of thousands of active camera streams and a rapidly growing R&D team pushing the boundaries of multimodal retrieval and AI systems design. The Role We're looking for a Senior AI Engineer to lead the applied research and productionization of our video search and retrieval stack - connecting natural-language queries to high-dimensional video representations with real-time performance. You'll work at the intersection of deep learning research, scalable systems, and GPU-optimized inference, owning models and pipelines end-to-end from training through deployment. What You'll Do Design and build natural-language-to-video retrieval systems using state-of-the-art architectures (e.g., V-JEPA, CLIP, SigLIP, Video-LLMs, ViViT, TimeSformer). Develop temporal localization and video summarization capabilities with fine-grained moment-level embeddings. Stand up vector search infrastructure (FAISS, Milvus, pgvector, Pinecone) with optimized sharding, caching, and hybrid retrieval strategies. Optimize GPU inference and serving pipelines using ONNX Runtime, TensorRT, or ROCm for low-latency performance. Drive multi-GPU training and distributed serving (FSDP, ZeRO, DDP, NCCL/RCCL) with strong understanding of parallelization and quantization techniques. Collaborate with MLOps, backend, and product teams to deliver production-ready AI features at scale. Define and track key retrieval and relevance metrics (R@K, mAP, nDCG) and run live A/B evaluations. Mentor junior engineers, document design decisions, and drive innovation through rigorous experimentation. What We're Looking For 6-10+ years of experience in machine learning or applied AI, with 4+ years focused on video understanding, multimodal retrieval, or transformer-based models. Proficiency in PyTorch and deep learning frameworks; experience with video backbones, contrastive training, and representation learning. Strong understanding of vector databases, ANN search (HNSW, IVF), and embedding pipelines. Demonstrated ability to ship high-performance AI systems with GPU optimization, ONNX/TensorRT, or ROCm pipelines. Experience with distributed training, CI/CD for ML, and scalable data pipelines (MLflow, W&B, K8s, Docker). Excellent communication skills and a collaborative, low-ego approach to problem solving. Nice-to-Haves Experience with temporal detection, video tracking, or re-ID. Exposure to Video-RAG or structured retrieval (metadata + knowledge graph). Background in real-time or edge inference systems. Interest in privacy-preserving or regulated AI systems. Compensation & Logistics Compensation: Competitive base salary + bonus + equity Location: Fully remote (U.S. based) Why Join Build real-world AI that operates at scale and latency levels few companies ever reach. Collaborate with world-class engineers and researchers in a fast-paced, mission-oriented environment. Work on deep technical challenges - multimodal search, retrieval, inference optimization - with real-world outcomes.

Verizon OSP engineer Hybrid 6 to 7 days a onsite required in a month at Walnut creek, CA. Responsibilities: • Fiber plant design, and general construction knowledge. • Experience in telecommunications / data networking or wireless industry. • Good Computer Skills (Databases, Processes, and Administrative) - Comprehensive knowledge and skill for more complex applications to include Word, Excel, Visio, ArcGIS/ESRI, 3GIS, Google Earth, etc. • Knowledge of the network plant and local practices. • Experience with working application of engineering systems and databases. • Working knowledge of right-of-way, property rights, and permit acquisition. “Taras Technology, LLC is an EEO/AA Employer: women, minorities, the disabled and veterans are encouraged to apply”

Resource 1 is seeking a Senior AI Engineer for a long-term, remote contract with our client in the Healthcare industry. Initial contract duration is 6 months, with expected extensions. This can be done 100% remotely from anywhere in the US. Selected individual will be brought in to help develop and deliver next-generation AI solutions across the healthcare enterprise. This role is hands-on and ideal for an engineer experienced in building GenAI and multi-agent systems using modern AI frameworks and Google Cloud Platform (GCP). Will collaborate closely with other engineers to design, build, test, and optimize AI capabilities within a scalable production environment. Key Responsibilities: Develop and enhance enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks, using tools such as Google ADK, Agentspace, MCP, RAG, and A2A orchestration. Contribute to the design and implementation of RAG pipelines using BigQuery and Vertex AI for knowledge grounding and factual response accuracy. Implement and tune agent reasoning workflows including orchestration, grounding, decision-making, and multi-step reasoning. Build and support distributed training workflows, online inference systems, and low-latency serving architectures leveraging Google Cloud services. Develop secure and scalable AI components including reusable orchestration layers, connectors, and observability hooks. Participate in developing agent governance and compliance frameworks aligned with enterprise standards. Translate business features and requirements into technical implementation tasks and contribute to solution design discussions. Support deployment pipelines, operational monitoring, troubleshooting, and optimization of production AI systems. Required Qualifications: Degree in Computer Science, AI/ML, or related technical field. Hands-on experience in Generative AI and agentic AI development. 4-5 years of total experience in AI/ML engineering or applied machine learning. Experience building and deploying production AI/ML systems. Solid understanding of modern model architectures including transformers, embeddings, and prompt engineering concepts. Hands-on expertise with Vertex AI (training, pipelines, deployment, orchestration, and monitoring) and Google Cloud native AI services. Experience with one or more agent frameworks (i.e. Google ADK/ Agentspace, LangChain/ LangGraph, LlamaIndex, CrewAI or AutoGen) Python and LLM integration, including MCP and A2A orchestration. Experience with Kubernetes, Cloud Run, Dataflow or Pub/Sub. Preferred Qualifications: Experience with AI observability, responsible AI frameworks, and model monitoring tools (Vertex AI Monitoring, BigQuery logging, Looker dashboards). Experience with multi-modal models and/or advanced optimization strategies. Contributions to open-source AI tooling or published applied work.

Senior Azure Engineer | 464294 DETAILS 6M C2H Hourly / Salary: to $170K Vaco Technology is currently seeking a Senior Azure Engineer for a 6M C2H opportunity that is 100% remote. The Senior Azure Engineer will lead the design, implementation, and operations of secure, scalable cloud solutions on Azure. The Senior Azure Engineer will architect and build cloud infrastructure and platform services, modernize legacy workloads, and drive best practices for security, reliability, cost optimization, and automated delivery. The Senior Azure Engineer will work closely with product, security, enterprise architecture, and development teams to enable high-quality cloud services across the organization. Cloud Architecture / Delivery - Lead the Design / Delivery of Azure-Based Solutions Spanning Infrastructure / Networking / Security / Platform Services Azure Environment Design - Architect and Implement Cloud Environments Using Best Practices for Identity / Networking / Governance / Resiliency Infrastructure as Code (IaC) - Build and Maintain Repeatable Cloud Infrastructure Using Bicep / Terraform / ARM Templates CI/CD / Automation - Implement and Optimize CI/CD Pipelines for Cloud and Application Deployments Using Azure DevOps / GitHub Actions Azure Networking - Design and Manage VNets / Subnets / NSGs / UDRs / Private Endpoints / Private Link / VPN / ExpressRoute / Load Balancers / Application Gateway / WAF Security / Governance - Lead Security-First Implementations Leveraging Entra ID / RBAC / PIM / Key Vault / Managed Identities / MDC (Defender for Cloud) / Sentinel / Azure Policy Cloud Migration / Modernization - Support Rehost / Refactor / Re-Architect Initiatives Including Landing Zones / Subscription Design / Workload Onboarding Operations / Optimization - Monitor / Troubleshoot / Improve Production Environments for Performance / Availability / Cost Efficiency Standards / Reusability - Establish Reference Architectures / Standards / Reusable Modules to Accelerate Consistent Delivery Leadership / Mentorship - Mentor Engineers / Provide Technical Guidance / Conduct Peer Architecture and Code Reviews Documentation - Create and Maintain Technical Documentation / Runbooks / Architecture Diagrams About the Project: Our client (MSP) has just won a flagship, enterprise-wide support contract with a Fortune 200 client that has fully replaced its direct Microsoft support with their services. To deliver immediate white-glove support, they are building a dedicated 6-person Microsoft Engineering Team, including 2 D365 F&O Administrators, 2 Modern Workplace / M365 Generalists, 1 Power Platform Engineer, and 1 Azure Engineer. These are all is a high-visibility roles that demands strong technical depth, exceptional customer-facing communication, composure under pressure, and the ability to multitask across high-volume tickets. JOB REQUIREMENTS Senior Azure Cloud Engineer (6+ years) - Cloud / Infrastructure / Platform Engineering (hands-on) in a Production Environment Azure Compute Services (deep knowledge) - VMs / VMSS / App Service / AKS, etc. Azure Storage Services (strong understanding) - Blob / Files / Disk / Lifecycle Policies Azure Networking (advanced) - VNets / Subnets / NSGs / UDRs / Private Endpoints / Private Link / VPN Gateway / Azure Load Balancers / Application Gateway / WAD, etc. Azure Integration (advanced) - Functions / Logic Apps / API Management IAM (Identity / Access Management) - Entra ID / Azure AD / RBAC / PIM IaC (Infrastructure-as-Code) - Bicep / Terraform, etc. CI/CD Pipelines - Implementing CI/CD / Automated Release Patterns Observability Tools - Azure Monitor / Log Analytics / Application Insights Resiliency (familiarity) - High Availability / Disaster Recovery Design Incident Management - Troubleshooting (advanced) / Leading Incident Resolution / Root-Cause Analysis PREFERRED (not required) Certifications: AZ-104 / AZ-305 / AZ-400 / SC-100 / SC-200 FinOps / Cost Governance | Chargeback / Showback Models, etc. AKS / Container Platforms Data Services - Azure SQL / CosmosDB Azure Landing Zone Implementations - Designing / Operationalizing a Foundational / Multi-Subscription Environment Supporting Enterprise-Level Cloud Adoption at Scale Zero Trust / Regulated Environments Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Role :: Lead Databricks Engineer Duration :: Long Term Contract USC Only Strong Databricks positions as below. One of these is old one but again refloating as we didn't get quality profiles for that. None of them was qualified until now. 1. Lead Data Engineer - (Preferred Houston, weekly travel on a regular basis otherwise) a. Relevant experience to be more than 8-9 years, Strong and proficient in Databricks, DLT (Delta Live Tables) framework and Pyspark, need excellent communication

No third Party Vendors Full-Time - Direct Hire Hybrid: Three days onsite and two days working remote We're looking for a Senior Backend Software Engineer who's excited to get involved, solve real problems, and move fast. You'll play a critical role on a small, highly collaborative team working on products that directly impact our partners and customers. This isn't a siloed role - we want someone who's not just comfortable but energized by jumping into conversations with the product team, account managers, and customers. You'll help shape features from concept to launch and ensure they drive real customer value. What You'll Do Design, build, and maintain backend systems that are reliable, scalable, and performant Write clean, maintainable code and make thoughtful architectural decisions Collaborate closely with product managers, frontend engineers, and account managers to build products that solve real user needs Take ownership of features and systems, driving them from idea to production Review code, share knowledge, and contribute to a culture of learning and continuous improvement Troubleshoot issues in production and help improve system observability and resilience What We're Looking For 3+ years of hands-on experience in backend software development Strong knowledge of one or more backend languages (e.g., Java, Go, Node.js, etc.) Python Experience with relational databases, SQL, API design, and cloud infrastructure (AWS, GCP, or Azure) A history of working cross-functionally with non-engineering teammates (design, product, accounts, etc.) Comfortable working in a fast-paced, collaborative environment where priorities can shift Bonus: Experience with DevOps, security, collaborating with ML teams, and/or IoT devices

Direct Hire 100% Remote We are seeking an Imaging Hardware Systems Engineer to design, implement, and optimize the camera, sensor, optical, and lighting components that form the foundation of advanced computer vision and machine vision applications. This role involves building high-quality imaging environments that enable reliable automated inspection across industrial settings. The position is remote, with up to 50% travel for on-site scoping, installation, and commissioning. Key Responsibilities Design and configure camera, lens, filter, and lighting systems to support robust and repeatable imaging for automated inspection. Perform illumination analysis using advanced lighting strategies (backlights, dome lights, ring lights, structured light, etc.) to improve feature contrast and reduce imaging artifacts. Evaluate and select machine vision cameras and sensors (CMOS, CCD) based on application requirements such as resolution, sensitivity, and frame rate. Develop mechanical designs-including mounts, brackets, and enclosures-ensuring imaging hardware is stable and reliable in active industrial environments. Produce engineering documentation, layouts, and schematics using SolidWorks or comparable CAD tools. Collaborate closely with vision engineers, controls/automation personnel, and plant operations teams to ensure seamless system integration. Oversee contractors and vendors responsible for fabricating and installing imaging hardware solutions. Troubleshoot and optimize imaging systems by addressing lighting inconsistencies, focus issues, vibration, or sensor configuration problems. Lead field installation efforts, support commissioning activities, and fine-tune imaging and lighting performance during deployment. Establish hardware standards, best practices, and documentation for scalable and repeatable systems. Develop preventive maintenance procedures for imaging hardware and partner with plant teams to ensure consistent upkeep. Implement automated monitoring tools for camera and lighting performance, setting thresholds and alerts for early detection of degradation. Stay current with evolving imaging technologies, optical components, and illumination methodologies to enhance system capability over time. Preferred Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Optical Engineering, Physics, Computer Vision, or related discipline; or 8+ years of relevant hands-on hardware engineering experience. Practical expertise with machine vision cameras, optics, filters, and industrial lighting solutions. Knowledge of illumination techniques for challenging surfaces (reflective, textured, curved, low contrast). Proficiency with SolidWorks or equivalent CAD tools for mechanical design and documentation. Experience designing mechanical fixtures, mounts, or housings for imaging hardware in existing production environments. Track record of deploying and tuning camera and lighting systems in industrial or manufacturing settings. Strong understanding of optics, imaging theory, and sensor properties. Ability to collaborate with software and machine learning engineers to align imaging hardware with algorithmic requirements. Experience troubleshooting imaging systems in the field. Proven ability to coordinate external partners for fabrication and installation work. Background in machining, fabrication, or custom hardware integration. Familiarity with commercial machine vision software platforms. Understanding of image quality metrics and measurement system analysis. Experience with edge devices or embedded systems for real-time imaging. Project management experience related to scoping and delivering hardware deployments. Estimated Min Rate: $105000.00 Estimated Max Rate: $150000.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

System Engineer - Full-Time, Direct Hire (W2 Only) Salary Range: $145K-$160K + Quarterly Bonuses Eligibility: U.S. Citizen or Permanent Resident Only Job Description We are seeking a System Engineer for a full-time, direct-hire role supporting enterprise infrastructure within a hybrid environment-onsite Monday through Thursday in 10038, with remote work on Fridays. This position requires a strong technical foundation across storage systems, virtualization, server technologies, and identity/access security. The engineer will work hands-on with Cisco UCSx blade systems, VMware, Azure Conditional Access, and various supporting technologies to ensure a secure, stable, and high-performing environment. You will be responsible for designing, deploying, and maintaining infrastructure platforms, troubleshooting complex issues, supporting upgrades and patching cycles, and collaborating with cross-functional teams. Ideal candidates bring strong problem-solving skills, a proactive approach, and the ability to operate in a mission-critical environment. Must-Have Skills Enterprise Storage administration MS Azure Conditional Access (policy configuration and security enforcement) Cisco UCSx - Unified Computing System (Blades) VMware (vSphere, ESXi, virtual infrastructure support) Nice-to-Have Experience SFTP Microsoft Exchange Healthcare industry exposure Linux administration or troubleshooting This opportunity is available to W2 candidates only seeking long-term employment. Only U.S. Citizens or Permanent Residents are eligible to apply. No corp to corp or contract.

Title: Machine Learning Engineer Responsibilities: Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost). Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization. Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality. Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management. Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production. Define and track performance and cost KPIs; run continuous improvement loops and capacity planning. Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations. Educational Qualifications: Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master's preferred (or equivalent industry experience). Strong systems/ML engineering with exposure to distributed training and inference optimization. Industry Experience: 3-5 years in ML/AI engineering roles owning training and/or serving in production at scale. Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements. Experience collaborating across Research, Platform/Infra, Data, and Product functions. Technical Skills: Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow. Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers. Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores. Write performant, maintainable code Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Fully Remote $75-80/hr. W2 with benefits Machine Learning/AI Engineer T-shaped skill - Will be working with Python, FastAPI's, and Data Pipelines This position requires a knowledge/familiarity with Accounting/Finance areas due to the areas you would be working with (GL, AP, P&L, Accruel, etc) The company is focused on Data and AI. Using Machine Learning and operational research to create an application to help several verticals with: Massive scale data migrations, conversions, enrichment & curation Surface workflows delivering equipment lifecycle optimization Geospatial, IOT platforms embedding spatial analytics Creation and integration of ML & OR models across different domains They have over 250 years of experience on the team now between 17 people. Have IntelliJ, AWS, Google AWS partner, Microsoft supplier and IBM business partner Why work here? Everything is new development Teaming first - Agile 2 weeks sprints, full transparency front end to end. You bring value to the table and have your own identity with the customer, no overhead. They are just a development org. You present directly to the customer and can show them the value you are providing. You have full autonomy to operate. Run your own sprints, present their work, demos with client. No layers. Weekly sessions doing demos for people to learn and catch up Rock solid team, everyone is qualified and and has strong skills They will learn a lot and it will be an ecosystem of capabilities, skill sets and they can share knowledge with each other. Communicate openly and honesty Inclusion in all conversations. No difference for contractors.

Hello Fusion Solutions is looking for a lead engineer- Plano, TX. If this is of interest, please send me your resume with your month and day of birth, I will send you the Right To Represent email and request for your authorization. I will call you once I receive your resume. Thank you! My Contact Details: (332)- 237-7666 / Email: ****************************** Details of the role are listed below. Thank you! Title: Lead engineer/Project Manager Location: Plano, TX (remote will be consider) Duration: 12 Month Start Date: Dec 2025 Pay rate: $25 W2 + $35 Per Diem - Total: $60/hr Description: We are looking for a lead engineer to be part of the Construction and Engineering team leading the overall delivery for Site Digital Twin program for all customers in US and Canada. The ESDT team digitizes the Telecom infrastructure into BIMs for both ground and tower top. In this role, you will be part of a team that manages the end-to-end process from drone capture to BIM delivery to all our customers in US and Canada. You will work independently and in a team environment to achieve organizational goals/target. Responsibilities: • RF Equipment knowledge. Both general knowledge and installation practices. Radios, Antennas, Mounts, Cabinets, Shelters, Batteries, Power plants, etc. • Understanding customer network and equipment practices. RAN knowledge, Equipment handling (asset tags), Equipment database, Scoping, Drivers, Engineering and Design. • Develop, Document and Optimize the quality process for all ESDT related programs. • Interface between AT&T, product teams, executives and offshore teams when developing customer deliverables. (CD formatting, quality reporting, Payload quality). Management of the product as well as the team of over 800 required. • Must be able to adapt processes and delivery model to new products being developed. For example: New delivery requirements for CD's/BIM, Product growth, Small Cell, In-building or Microwave. • Customer Management: Consultative with an ability to communicate clearly and manage customer requirements. Lead customer discussions on production volumes, performance OKRs and issues. • Drive process improvements to bring efficiencies • Demonstrated results driving complex innovation opportunities with meaningful cost savings or add-on sales. • Excellent presentation, verbal and written communication skills. The role requires regular presentations to internal executives and customer and exceptional consultative skills • Ability to operate with a high degree of independence, while managing project and customer expectations • Leads delivery for several customer accounts, regions, and markets. • Leads remote engineering teams and is a leader of technology (product solution, process, knowledge sharing etc) • Identifies & develops new service offerings, including new delivery methods, scopes, tools, and cost models. • Expertise with RAN and shelter equipment including ancillary equipment MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS: • Min 8 years of telecommunication experience managing/leading large-scale operations (1000s of sites) • 5 years' experience managing/leading customer delivery directly • Bachelor or master's degree in engineering or project/program management or vendor management experience • Proficient in English, written and spoken • Past experience with ESDT (Ericsson Site Digital Twin) is a plus Remote opportunity would be considered but only for highly qualified candidate.

We are a fast growing Managed Service Provider supporting clients across critical industries with a culture built around accountability, responsiveness, and client care. We are hiring a System Engineer with MSP experience who enjoys deep troubleshooting and also wants consistent project exposure while working closely with a high performing team. This is a hybrid role that blends escalation ownership with project delivery. You will handle higher level support issues while also driving client projects like onboarding, migrations, and infrastructure improvements. What You Will Do Serve as the Level 2.5 escalation point across servers, networking, cloud, and security Own and deliver projects such as Microsoft 365 migrations, onboarding for new clients, server and firewall deployments, and workstation rollouts Troubleshoot complex issues across Windows Server, Active Directory, Microsoft 365, Intune, and VoIP Perform proactive maintenance including patching, monitoring, and system optimization Implement and support security controls such as EDR, MFA, and encryption Conduct network and security reviews and help remediate risk Manage work in ConnectWise with clear documentation, time entry, and client ready updates What You Bring MSP experience supporting multiple client environments Strong Windows Server and Active Directory skills Microsoft 365 support experience plus Intune fundamentals Solid networking skills including firewalls, switching, wireless, DNS, and DHCP Experience with SonicWall, Fortinet, or similar firewalls Experience with virtualization using VMware and or Hyper V and backup solutions Strong communication, organization, and documentation habits Must have a car for occasional local onsite visits Pay and Benefits $100k to $110k Hybrid WFH schedule Medical, dental, vision, and life insurance Certification reimbursement

We're looking for Data Entry Specialists for Customer Products across the US to work from home and help top brands improve their products before they hit the market.

We're looking for Customer Support Product Testers across the US to work from home and help top brands improve their products before they hit the market.

What You Will Do Write and maintain JavaScript / Node.js code for automated trading systems, background jobs, and market data ingestion Contribute to Go services where concurrency and predictable behavior matter Rewrite outdated or messy JavaScript services in Go Work across multiple repositories communicating via WebSockets, Redis, and HTTP Debug real production issues in live systems Move fast: build, break, fix, and ship Gradually take ownership of small but critical parts of the system What We're Looking For Comfortable with JavaScript / Node.js Some exposure to Go, or interest in learning it Understanding of async code, OOP, and event-driven systems Not afraid of messy codebases or unfamiliar repos Able to move quickly, ask questions, and take feedback well Strong debugging instincts Startup, side-project, or self-taught engineering background Flexible availability, including occasional nights or weekends Nice To Have Betting, trading, or market-related experience Experience with real-time systems (WebSockets, Redis, pub/sub) Some infrastructure or Linux experience Bonus: scraping or automation experience (Playwright, Puppeteer, Selenium) What This Role Is A high learning-curve role with an emphasis on getting systems into production Direct visibility into how real-world trading systems are built Working closely with a small, highly involved team Shipping code that runs live with real money What This Role Isn't No formal onboarding or extensive documentation Not a heavy-process environment (minimal tickets, meetings, or planning cycles) Base salary: $100,000+ annually, depending on experience and role fit Structure: Role begins with a 1-2 month paid contract engagement, followed by full-time conversion upon mutual fit Equity: Available for the right candidate About 4C Software 4C Software builds the technology powering one of the largest sports prediction markets in the world, with $750M+ traded on the platform this year. We also develop automated trading and market infrastructure software that operates on multiple platforms at a significant scale. We're a small team working in a fast-paced environment, building systems that run live with real money in production. Our team is based in Chicago, but this role is fully remote.

Electrical Design Engineer (MEP) Houston, Texas $90,000 - $110,000 + Training + Career Progression + Support to Gain PE License + Bonus + Fantastic Benefits + Tuition Reimbursement + Work-From-Home Fridays! Are you an electrical engineer looking to work on exciting commercial MEP projects, with excellent training and a clear progression pathway to becoming a PE? This is an excellent opportunity to be the go-to electrical engineer on various technical construction projects, with the chance to progress into a Project Management position and gain your PE license. This growing company specializes in designing MEP systems for commercial projects. Due to their long-term expansion plans, they are looking for an Electrical Engineer to serve as a technical expert on diverse projects. They will also fund your PE license, granting you the opportunity to further advance your career. In this role, you will be based in the office, where you will be responsible for designing construction documents, producing electrical schematics and drawings, handling RFI documents, and liaising with clients and architects to meet project requirements. This is a great opportunity for an electrical engineer who wants to obtain their PE license and advance within a company that actively invests in its employees while working on technically challenging commercial projects. The Role: Serve as the technical expert for MEP systems in commercial projects Design electrical systems, liaise with site staff, and conduct site visits Office-based The Person: Electrical Engineer Degree in a relevant field Aspires to become a Professional Engineer