Machine Learning / Data Science Engineer

About the role

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.

Responsibilities

• Strategize 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.
• Deconstruct client needs into data-driven processes/models and analytical measures.
• Analyze and transform large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, 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 clients’ requirements.
• Grow CapTech’s 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.
• 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).
• Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production settings, including 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.

Requirements

• Bachelor's degree or equivalent combination of education and experience.
• 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.
• Knowledge of DevOps and automation best practices.
• Knowledge of statistics and statistical modeling methods.
• Knowledge of model management and model versioning best practices.

Benefits

• Generous PTO, health coverage, disability insurance, and paid family leave.
• 401(k) matching with no vesting period.
• 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 providing 1:1 care, group support sessions, and self-serve resources.
• Carrot Fertility – inclusive fertility and family-forming coverage for all paths to parenthood, including employer-sponsored funds.
• Fringe – a company-paid stipend program for personalized lifestyle benefits (e.g., Netflix, Spotify, student loan repayment, travel, fitness).
• Employee Resource Groups – employee-led committees embracing diversity and inclusion.
• Philanthropic partnerships and pro-bono project opportunities supporting communities.

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.