Team leader jobs in Baltimore, MD - 1,968 jobs

A premier executive search firm is seeking a Director of Federal Sales to lead client engagement in the U.S. federal agency market. Candidates should have over 7 years of federal sales experience with a successful record in building relationships and achieving revenue targets. This role involves developing sales strategies, managing a team, and navigating the federal procurement process. It's a chance to make a substantial impact with innovative technology. #J-18808-Ljbffr

We are looking to bring on a high-energy sales professional who can work with new and existing customer to help them navigate the daunting space of keeping employee and user data and identities safe, and to come up with strategies to modernize their digital identity. WhoIAMis a digital identity management, and Azure Active Directory systems integration company based in Bellevue, Washington. We provide enterprise customers with custom-built biometric and other tailored authentication implementations for their users and employees and have been behind the digital identity deployments of several household brand-names. We are looking to bring on a high-energy sales professional who can work with new and existing customers to help them navigate the daunting space of keeping employee and user data and identities safe and to come up with strategies to modernize their digital identity. What You Will Be Doing Develop a strong pipeline to meet, present and close accounts Develop strong relationships with key accounts Identify new markets and applications for our identity solutions Develop and implement regional strategies, targets, and vertical market sales teams and channels. Achieve revenue goals put in place by the company Participate in educational opportunities, read professional publications, maintain personal networks and participate in professional organizations Job Requirements More than 5 years of proven experience and knowledge in one or more of the following fields: cloud services, user identity, enterprise deployments, information security Experience interacting with engineering leaders and C-level executives at medium to large enterprises Ability to understand and speak credibly about complex authentication and consumer security concepts What's In It for You Vacation/PTO Medical Vision If you are a talented technical business developer with a track record of excellence, please apply today by sending us your resume at ************** ! Applicants must be authorized to work in the U.S. Full-service IAM for the world's most respected brands Our enterprise-level clients represent a diverse set of industries. However, the one thing they have in common is their commitment to ensuring they have the highest level of security and scalability. That's why they choose to work with us. Here are some of the main industries in which WhoIAM has deployed identity and security solutions: Get in touch with us We'd love to hear from you. Drop us a line if you'd like to discuss our work or would like to schedule a product demo. #J-18808-Ljbffr

A leading financial institution is seeking a Branch Manager to lead a team in Washington, DC. The role involves managing branch sales and service, nurturing staff performance, and executing business strategies to increase customer loyalty. Candidates should have 5-8 years of relevant experience, ideally in banking, with strong management, analytical, and communication skills. This full-time position offers a competitive salary and comprehensive benefits including medical, dental, and retirement plans. #J-18808-Ljbffr

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

A leading agricultural firm located in Washington, D.C. is seeking a savvy Public Policy Manager. This role involves working closely with government officials and stakeholders on issues that affect the business. Candidates should have over 12 years of experience in public policy, strong analytical skills, and an understanding of the Congressional process. The compensation ranges from $156,800 to $196,000, plus an annual bonus. Benefits include health plans, 401(k) matching, parental leave, and generous PTO. #J-18808-Ljbffr

A leading medical devices company seeks a Territory Sales Manager to manage the Maryland, DC, and Virginia territory. The ideal candidate will have a Bachelor's Degree and over 3 years of experience in medical device sales, demonstrating strong communication and customer relationship skills. The role involves extensive travel (>60%) and achieving sales targets while supporting customer education. This position offers a competitive salary and benefits package, aiming to improve the lives of people with laryngectomy and tracheostomy. #J-18808-Ljbffr

A financial services company is seeking an experienced Actuary to lead modeling activities on various insurance liabilities and manage risks like liquidity and credit. The ideal candidate will have advanced analytical skills and an FSA designation or equivalent. Responsibilities include collaborating with stakeholders, designing controls, and leading projects with accountability. This position offers a competitive salary and a range of employee benefits including medical and dental insurance, a pension plan, and 401k matching. #J-18808-Ljbffr

An engineering firm in Washington is seeking a Substation Physical Engineer with over 10 years of experience to join their Power Delivery team. This role requires proficiency in HV and MV Substation design, leadership skills, and the ability to work in a fast-paced environment. The base salary range is between $135,000 and $150,000, with eligibility for performance-based bonuses. Professional Engineering (P.E.) License is preferred or must be obtained within 12 months. #J-18808-Ljbffr

A leading global consultancy is seeking a Senior Consultant specializing in Data Management Technology. In this role, you will guide clients in defining data governance strategies and implementing advanced technologies. Responsibilities include designing frameworks, collaborating on analytics solutions, and conducting assessments to enhance data assets. Requirements include a bachelor's degree and 3+ years of experience with MDM tools, demonstrating strong communication skills and a critical thinking mindset. #J-18808-Ljbffr

A leading construction firm is seeking a Senior Structural Technical Manager in Baltimore, MD. The role requires overseeing the engineering team, implementing industry standards, and providing mentorship to team members. The ideal candidate will have 15 years of experience in structural engineering and strong leadership skills. Proficient knowledge of CAD software and project management is essential for success in this position. Competitive compensation and opportunities for professional growth are offered. #J-18808-Ljbffr

A proposal management firm is seeking a Senior Proposal Professional in Washington, D.C. The role involves leading the entire proposal lifecycle for government RFPs and ensuring compliance with submission standards. Candidates must have over 7 years of experience, exceptional attention to detail, and strong writing skills. The position offers a competitive compensation package in a collaborative work environment, where you will directly impact the company's growth. #J-18808-Ljbffr

A consulting firm for government is seeking a Senior Global Investments Strategic Advisor in Alexandria, Virginia. The role requires significant experience in foreign investment risk management and leadership skills. Ideal candidates will have a strong background in national security or economics, along with an active TS/SCI clearance. The position focuses on supporting the US Department of Defense's investment analysis priorities to protect the Defense Industrial Base. #J-18808-Ljbffr

A leading children's hospital in Silver Spring, MD, is seeking a Senior Manager for Coding Audits & Education. This role requires extensive coding experience, overseeing a multidisciplinary team, and ensuring strategic leadership in coding functions. The ideal candidate will have a Bachelor's Degree (Master's preferred) and over 7 years of progressive coding experience, along with strong leadership and communication skills. The position offers a competitive salary range of $103,355.20 to $172,244.80. #J-18808-Ljbffr

A leading consulting firm in Washington, DC is looking for an Automated Experimentation Expert to support governmental health research initiatives. The candidate will evaluate technical proposals, advise on AI methodologies, and produce impactful reports. An ideal candidate should possess a doctorate in Biological or Physical Sciences, have over 5 years of applied AI experience, and be capable of working independently in fast-paced environments. This position is hybrid, requiring on-site presence 20-50% of the time, promoting a people-first workplace culture. #J-18808-Ljbffr

A leading financial services company is seeking a Branch Manager in Washington, D.C. This role requires strong leadership to grow sales and manage a team effectively. The ideal candidate will have 5-8 years of relevant experience and proven management skills. You will be responsible for overseeing branch operations, ensuring compliance, and enhancing customer satisfaction. Competitive benefits and a salary range of $76,480 - $114,720 make this opportunity attractive. #J-18808-Ljbffr

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

A leading construction firm is seeking a Senior Structural Technical Manager in Baltimore, MD, to oversee technical development and team training. The ideal candidate will manage engineering processes, ensure compliance with industry standards, and promote innovation. A minimum of fifteen years in structural engineering is required, along with strong leadership and communication skills. This role offers a dynamic work environment with opportunities for professional growth. #J-18808-Ljbffr

A global consulting firm is seeking a Senior Manager Consultant specializing in SAP IS-Oil in McLean, Virginia. The role involves managing client relationships, shaping strategic direction for SAP implementations, and leading workstreams. Candidates should have 12+ years of relevant experience and a strong background in business requirements gathering and implementation. Competitive compensation and comprehensive benefits package offered. #J-18808-Ljbffr

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Data Engineer Plano, TX: $204,900 - $233,800 for Sr. Lead Data Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).