Remote Machine Learning & Data Science Engineer

CapTech; Reston (VA); Hybrid; USD 90,000 - 200,000; Full time

Benefits offered by this job

Flexible work environment

Tuition support

Modern Health

Carrot Fertility

Fringe stipend

Employee Resource Groups

Philanthropic Partnerships

401(k) Matching

Job summary

CapTech is seeking a Machine Learning Engineer to design and deploy data-driven ML systems for diverse enterprise clients in Reston, VA. You will work with cross-functional teams to translate client needs into scalable ML pipelines and production-grade models.

The role emphasizes hands-on development, cloud data processing, and collaboration with clients and CapTech teams to grow the ML and Data Science practice.

Qualifications

• 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) in a production setting.
• Experience with prompt engineering, MCP, RAG, and agentic AI architectures.
• Strong understanding of conversational UX and prompt evaluation metrics.
• Experience with agentic frameworks in practice (langchain, n8n, pydantic).
• Experience with multi-agent orchestration.

Responsibilities

• Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs.
• Deconstructing client needs into data-driven processes/models and analytical measures.
• Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
• Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
• Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements.
• Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Skills

Python

Scala

SQL

Spark

NoSQL

Docker

LLMs

Prompt engineering

Langchain

Data pipelines

Education

Bachelor’s degree

Tools

Snowflake

Databricks

Azure SQL

Amazon RDS

Job description

CapTech is seeking a Machine Learning Engineer to design and deploy data-driven ML systems for diverse enterprise clients in Reston, VA. You will work with cross-functional teams to translate client needs into scalable ML pipelines and production-grade models.

The role emphasizes hands-on development, cloud data processing, and collaboration with clients and CapTech teams to grow the ML and Data Science practice.