Machine Learning​/Data Science Engineer

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. We work with Fortune 100 companies, mid‑sized enterprises, and government agencies across the country.

Cap Tech Machine Learning Engineers are responsible for designing and implementing data‑driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. Employees enjoy a collaborative environment with opportunities to learn from and share knowledge with analysts, architects, and our clients.

• Strategize with clients, data scientists, engineers, and cross‑functional teams to implement end‑to‑end machine learning solutions and identify new data science approaches to meet business needs.
• Deconstruct client needs into data‑driven processes, models, and analytical measures.
• Analyze and transform large datasets hosted on enterprise‑level data platforms (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, proposals, business development events, and by leading teams of junior data scientists and engineers.

• 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, No
  
  SQL, and/or cloud data processing frameworks in a production setting.
• Proficiency with containerization (Docker) and microservices.
• Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS.
• Comfort and proficiency framing data‑driven problems from cross‑industry business requirements.
• Experience applying analytical methods across multiple business domains (customer analytics, marketing, finance, digital channels).
• Hands‑on experience implementing production‑scale machine learning systems in one or more domains (personalization, natural language processing, computer vision).
• Knowledge of Dev Ops and automation best practices.
• Knowledge of statistics and statistical modeling methods.
• Knowledge of model management and model versioning best practices.
• Experience working with LLMs (GPT, Claude, Mistral, etc.) in production settings.
• 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.

Cap Tech offers a variety of career paths based on your skills and passions, including customizable career progression and a comprehensive benefits package. Benefits include:

• Learning & Development:
  Programs offering certification and tuition support, digital courses, mentorship, and skill development pathways.
• Modern Health: A mental health and well‑being platform featuring 1:1 care, group support sessions, and self‑serve resources.
• Carrot Fertility:
  Inclusive fertility and family‑forming coverage for all paths to parenthood, including adoption, surrogacy, and fertility treatments.
• Fringe: A company‑paid stipend program for personalized lifestyle benefits (Netflix, Spotify, Grub Hub, student loan repayment, travel, fitness).
• Employee Resource Groups:
  Employee‑led committees embracing diversity and inclusion.
• Philanthropic Partnerships:
  Opportunities to engage in partnerships and pro‑bono projects supporting communities.
• 401(k) Matching:
  Generous matching with no vesting period.

Cap Tech is an equal‑opportunity employer committed to fostering a culture of equality, inclusion, and fairness. We ensure that persons with disabilities are provided reasonable accommodations. If a reasonable accommodation is needed for the application or interview process, please contact Laura Massa at  Cap Tech does not transfer or sponsor work visas for this position. Applicants must be authorized to work in the United States without visa sponsorship.

• Mid‑Senior level

• Full‑time

• Consulting

• Business Consulting and Services