Lead Machine Learning​/Data Science Engineer

Lead Machine Learning / Data Science Engineer

Cap Tech is an award‑winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. The company works with Fortune 100 companies, mid‑sized enterprises, and government agencies across the country.

Cap Tech Machine Learning Engineers design and implement data‑driven solutions, focusing on building and deploying scalable machine learning systems in enterprise environments. Employees work in a collaborative environment and have many opportunities to learn from and share knowledge with other analysts, architects, and clients.

• Strategize with clients, data scientists, engineers, and cross‑functional teams to implement end‑to‑end machine learning solutions and identify new approaches to meet business needs.
• Provide technical leadership and collaborate within and across teams to ensure overall solutions align with customer needs.
• Deconstruct client needs into data‑driven processes, models, and analytical measures.
• Analyze and transform large datasets hosted on 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 client requirements.
• Grow Cap Tech’s Machine Learning and Data Science practices through client presentations, proposal writing, business development events, and leading teams of junior data scientists and engineers.

• 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms.
• Bachelor’s degree or equivalent combination of education and experience.
• Experience providing technical leadership and mentoring engineers in data engineering.
• Hands‑on experience manipulating and analyzing large (multi‑billion record) data sets.
• Proficiency with SQL, Spark, No
  
  SQL, and/or cloud data processing frameworks in a production setting.
• Proficiency with containerization (e.g., Docker) and microservices.
• Proficiency with data warehousing tools (Snowflake, Databricks, Azure SQL, Amazon RDS).
• Comfort 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 domains such as personalization, natural language processing, or computer vision.
• Knowledge of Dev Ops and automation best practices.
• Knowledge of statistics and statistical modeling methods.
• Knowledge of model management and versioning best practices.
• Experience working with LLMs (GPT, Claude, Mistral, etc.) in a production setting.
• Experience with prompt engineering, MLP, RAG, and agentic AI architectures.
• Strong understanding of conversational UX and prompt evaluation metrics.
• Experience with multi‑agent orchestration.

• Flexible work environment with remote options as compatible with client needs; employees must be available to work onsite when required.
• Learning & Development programs: certification and tuition support, digital courses, mentorship, skill development paths.
• Modern Health – mental health platform offering 1:1 care, group support, and self‑serve resources.
• Carrot Fertility – inclusive fertility and family‑forming coverage for all paths.
• Fringe – company‑paid stipend for personalized lifestyle benefits.
• Employee Resource Groups that promote diversity and inclusion in day‑to‑day operations.
• Philanthropic Partnerships for pro‑bono projects.
• 401(k) matching with generous contributions and no vesting period.

Cap Tech is an equal‑opportunity employer committed to fostering a culture of equality, inclusion, and fairness. We ensure reasonable accommodations for persons with disabilities, and we are committed to Equal Pay for all, including compliance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is $90,000 – $200,000.

Applicants must be authorized to work in the United States without visa sponsorship. At this time, Cap Tech cannot sponsor visas for this position.