CapTech Consulting Lead Machine Learning / Data Science Engineer \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Lead Machine Learning / Data Science Engineer Full-time Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve whats possible through the power of technology. At CapTech, were passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients. Specific responsibilities for the Lead Machine Learning Engineer position include:* Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs. Deconstructing client needs into data-driven processes/models and analytical measures. Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP). Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring). Productionizing ML systems with a focus on optimization and scalability to satisfy clients requirements. Growing CapTechs Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers. Qualifications 7+ years of experiencedelivering data engineering and machine learning solutionson cloudplatforms Bachelor's degree or equivalent combination of education and experience. Experience providing technical leadership and mentoring other engineers in data engineering space Hands-on experience manipulating and analyzing large (multi-billion record) data sets. Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. Proficiency with containerization (e.g., Docker) and microservices. Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS Comfort and proficiency in framing data-driven problems from cross-industry business requirements. Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels) Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision). Knowledge of DevOps and automation best practices. Knowledge of statistics and statistical modeling methods. Knowledge of model management and model versioning best practices. Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting Experience with prompt engineering, MCP and RAG, and agentic AI architectures Strong understanding of conversational UX and prompt evaluation metrics Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.) Experience with multi-agent orchestration Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, weve launched extended benefits to help meet our employees needs. Learning & Development Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through lifes ups and downs Carrot Fertility Inclusive fertility and family-forming coverage for all paths to parenthood including adoption, surrogacy, fertility treatments, pregnancy, and more and opportunities for employer-sponsored funds to help pay for care Fringe A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups  Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships  Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Lead Machine Learning / Data Science Engineer Reston, VA, USA Full-time I'm interested I'm interested

The role requires over 7 years of experience in delivering data engineering and machine learning solutions on cloud platforms. A Bachelor's degree or an equivalent combination of education and experience is necessary. The position also requires experience in providing technical leadership and mentoring other engineers in the data engineering space. Hands-on experience manipulating and analyzing large datasets and developing data-driven solutions using Python, Scala, or similar languages is essential. Proficiency with SQL, Spark, NoSQL, and cloud data processing frameworks in a production setting is required, along with comfort in containerization and microservices. Experience with data warehousing tools like Snowflake, Databricks, Azure SQL, and Amazon RDS is also necessary. The role demands experience with LLMs in a production setting, including prompt engineering, MCP, RAG, and agentic AI architectures. A strong understanding of conversational UX and prompt evaluation metrics is also a requirement.