Machine Learning​/Data Science Engineer

Machine Learning / Data Science Engineer

Cap Tech is an award‑winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. We’re passionate about the work we do and the results we achieve for our clients—from Fortune 100 companies, mid‑sized enterprises, and government agencies across the country.

Cap Tech Machine Learning Engineers design and implement data‑driven solutions for our clients, focusing on building and deploying scalable machine learning systems in enterprise environments. Colleagues enjoy a collaborative culture and many opportunities to learn from and share knowledge with other analysts, architects, and clients.

• Strategize with clients, data scientists, engineers, and cross‑functional teams to implement end‑to‑end machine learning solutions and identify new approaches to meet business needs.
• Deconstruct client needs into data‑driven processes, models, and analytical measures.
• Analyze and transform large datasets hosted on enterprise‑level data platforms such as AWS, Azure, and GCP.
• Design, develop, and deploy advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
• Productionize ML systems with a focus on optimization and scalability to satisfy client requirements.
• Grow Cap Tech’s Machine Learning and Data Science practices by delivering client presentations, writing proposals, attending business development events, and leading teams of junior data scientists and engineers.

• Bachelor’s degree or equivalent combination of education and experience.
• Hands‑on experience manipulating and analyzing large (multi‑billion record) datasets.
• Hands‑on experience developing data‑driven solutions using Python, Scala, or similar languages.
• Proficiency leveraging SQL, Spark, No
  
  SQL, 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 domains such as personalization, natural language processing, and computer vision.
• Knowledge of Dev Ops 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) in a 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 (e.g., Lang Chain, n8n, Pydantic).
• Experience with multi‑agent orchestration.

We want everyone at Cap Tech to envision a lasting and rewarding career, 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.

• 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.
• Carrot Fertility – Inclusive fertility and family‑forming coverage for all paths to parenthood, including adoption, surrogacy, fertility treatments, pregnancy, and more.
• Fringe – A company‑paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most (Netflix, Spotify, Grub Hub, student loan repayment, travel, fitness, etc.).
• Employee Resource Groups – Employee‑led committees that embrace and incorporate diversity and inclusion into our day‑to‑day operations.
• Philanthropic…