Machine Learning / Data Science Engineer

CapTech is an award-winning consulting firm focused on technology-driven solutions. They prioritize strong relationships with clients, including Fortune 100 companies, mid-sized enterprises, and government agencies. CapTech fosters a collaborative environment where employees learn and share knowledge, supported by customizable career progression and comprehensive benefits.

Introduction

CapTech, an award-winning consulting firm, is seeking a Machine Learning / Data Science Engineer to design and implement data-driven solutions for clients. This role focuses on building and deploying scalable machine learning systems in enterprise environments.

Responsibilities

• Strategize with clients, data scientists, and engineers 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 various 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.
• Grow CapTech’s Machine Learning and Data Science practices through client presentations, proposal writing, business development events, 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.
• Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Nice to Have

• Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) 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 compatible with needs.
• Learning & Development programs: certification and tuition support, digital on-demand learning, mentorship, skill development.
• Modern Health: mental health and well-being platform.
• Carrot Fertility: inclusive fertility and family-forming coverage.
• Fringe: company-paid stipend for personalized lifestyle benefits (Netflix, Spotify, GrubHub, student loan repayment, travel, fitness).
• Employee Resource Groups: employee-led committees for diversity and inclusion.
• Philanthropic Partnerships: opportunities for community engagement.
• 401(k) Matching: generous matching with no vesting period.

About Company

CapTech is an award-winning consulting firm focused on technology-driven solutions. They prioritize strong relationships with clients, including Fortune 100 companies, mid-sized enterprises, and government agencies. CapTech fosters a collaborative environment where employees learn and share knowledge, supported by customizable career progression and comprehensive benefits.

How to Apply

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 lmassa@captechconsulting.com.