Machine Learning / Data Science Engineer

CapTech is an award-winning consulting firm that partners with clients to achieve success through technology. They are passionate about their work and client results, building strong, lasting relationships. They work with Fortune 100 companies, mid-sized enterprises, and government agencies across the country.

Introduction

CapTech is an award-winning consulting firm dedicated to leveraging technology to create impactful solutions for clients, including Fortune 100 companies, mid-sized enterprises, and government agencies. We foster a collaborative environment where employees can grow and share knowledge.

Responsibilities

• Strategize with clients, data scientists, engineers, and cross-functional teams to implement end-to-end machine learning solutions and identify new ML and data science approaches.
• Deconstruct client needs into data-driven processes/models and analytical measures.
• Analyze and transform large datasets on enterprise data platforms (e.g., AWS, Azure, GCP).
• Design, develop, and deploy advanced analytical solutions (e.g., recommender systems, natural language processing, risk scoring).
• Productionize ML systems with a focus on optimization and scalability.
• Contribute to CapTech’s Machine Learning and Data Science practices through client presentations, proposals, business development, and leading junior teams.

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.

Nice to Have

• 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 (langchain, n8n, pydantic, etc.).
• Experience with multi-agent orchestration.

Benefits

• Flexible work environment; remote work allowed when compatible with client needs.
• Learning & Development programs: certification, tuition support, digital learning, mentorship.
• Modern Health: mental health and well-being platform.
• Carrot Fertility: inclusive fertility and family-forming coverage.
• Fringe: company-paid stipend for personalized lifestyle benefits (e.g., Netflix, Spotify, student loan repayment, travel, fitness).
• Employee Resource Groups.
• Philanthropic Partnerships.
• 401(k) Matching with no vesting period.

About Company

CapTech is an award-winning consulting firm that partners with clients to achieve success through technology. They are passionate about their work and client results, building strong, lasting relationships. They work with Fortune 100 companies, mid-sized enterprises, and government agencies across the country.

How to Apply

Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. CapTech cannot transfer or sponsor a work visa for this position. If reasonable accommodation is needed, please contact Laura Massa at lmassa@captechconsulting.com.