Machine Learning / Data Science Engineer

Remote Full-Time 2026-07-06

About CapTech

CapTech is an award-winning consulting firm dedicated to collaborating with clients to achieve what's possible through technology. They foster strong relationships and deliver innovative solutions to Fortune 100 companies, mid-sized enterprises, and government agencies nationwide.

About the Position

Introduction

CapTech is an award-winning consulting firm passionate about leveraging technology to achieve exceptional results for clients. They partner with Fortune 100 companies, mid-sized enterprises, and government agencies across the country. They are looking for Machine Learning Engineers to design and implement data-driven solutions, focusing on building and deploying scalable ML 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 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 to satisfy clients’ requirements.
Grow CapTech’s Machine Learning and Data Science practices through client presentations, proposal writing, business development events, and leading junior data scientists and engineers.

Requirements

Bachelor's degree or equivalent combination of education and experience.
Hands-on experience manipulating and analyzing large (multi-billion record) datasets.
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: Commitment to work-life balance; remote work allowed when compatible with CapTech and client needs, with occasional onsite work.
Learning & Development: Programs for certification and tuition support, digital on-demand learning, mentorship, and skill development.
Modern Health: Mental health and well-being platform with 1:1 care, group support, and self-serve resources.
Carrot Fertility: Inclusive fertility and family-forming coverage for various paths to parenthood (adoption, surrogacy, fertility treatments, pregnancy).
Fringe: Company-paid stipend program for personalized lifestyle benefits (e.g., Netflix, Spotify, GrubHub, student loan repayment, travel, fitness).
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.