Machine Learning / Data Science Engineer

CapTech is an award-winning consulting firm that partners with Fortune 100 companies, mid-sized enterprises, and government agencies to achieve their goals through technology. We are passionate about our work and foster a collaborative environment focused on strong, lasting relationships.

Introduction

CapTech is an award-winning consulting firm dedicated to leveraging technology to achieve client goals. We are seeking a passionate Machine Learning Engineer to design and implement data-driven solutions for our clients, with a focus on building and deploying scalable machine learning systems in enterprise environments.

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-level 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, focusing on optimization and scalability.
• Grow CapTech’s Machine Learning and Data Science practices through client presentations, proposals, 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

CapTech offers a variety of career paths and a comprehensive benefits package, including:

• Flexible Work Environment: Remote work allowed when compatible with CapTech and client needs; requires availability for on-site client or CapTech office work as requested.
• Learning & Development: Certification and tuition support, digital on-demand learning, mentorship, and skill development paths.
• Modern Health: Mental health and well-being platform.
• Carrot Fertility: Inclusive fertility and family-forming coverage.
• Fringe: Company-paid stipend for personalized lifestyle benefits.
• Employee Resource Groups: Employee-led committees promoting diversity and inclusion.
• Philanthropic Partnerships: Opportunities to engage in community support.
• 401(k) Matching: Generous matching with no vesting period.

About Company

CapTech is an award-winning consulting firm that partners with Fortune 100 companies, mid-sized enterprises, and government agencies to achieve their goals through technology. We are passionate about our work and foster a collaborative environment focused on strong, lasting relationships.

How to Apply

Apply via the provided application link.