CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. This job description is for a Machine Learning / Data Science Engineer position that involves designing and implementing data-driven solutions for clients. The position requires a collaborative environment and opportunities to learn from and share knowledge with other CapTech analysts, architects, and clients.
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
- 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
Benefits
- Generous Paid Time Off
- Health coverage
- Disability insurance
- Paid family leave
- 401(k) Matching
- Learning & Development programs
- Modern Health
- Carrot Fertility
- Fringe
- Employee Resource Groups
- Philanthropic Partnerships
