About
Job Description CapTech Machine Learning Engineers design and implement data‑driven solutions for our clients, focusing on building and deploying scalable machine learning systems in enterprise environments. Colleagues enjoy a collaborative culture and many opportunities to learn from and share knowledge with other analysts, architects, and clients.
Key Responsibilities
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.
Deconstruct client needs into data‑driven processes, models, and analytical measures.
Analyze and transform large datasets hosted on enterprise‑level data platforms such as AWS, Azure, and 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 CapTech’s Machine Learning and Data Science practices by delivering client presentations, writing proposals, attending business development events, and leading teams of junior data scientists and engineers.
Qualifications
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 domains such as personalization, natural language processing, and 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 and RAG, and agentic AI architectures.
Strong understanding of conversational UX and prompt evaluation metrics.
Experience with agentic frameworks in practice (e.g., LangChain, n8n, Pydantic).
Experience with multi‑agent orchestration.
Additional Information We want everyone at CapTech to envision a lasting and rewarding career, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package.
Learning & Development – Programs offering certification and tuition support, digital on‑demand learning courses, mentorship, and skill development paths.
Modern Health – A mental health and well‑being platform that provides 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, fertility treatments, pregnancy, and more.
Fringe – A company‑paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most (Netflix, Spotify, GrubHub, student loan repayment, travel, fitness, etc.).
Employee Resource Groups – Employee‑led committees that embrace and incorporate diversity and inclusion into our day‑to‑day operations.
Philanthropic Partnerships – Opportunities to engage in partnerships and pro‑bono projects that support our communities.
401(k) Matching – Generous matching with no vesting period to help you build financial wellness.
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion, and fairness—each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds, and experiences into the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Consulting
Industries Business Consulting and Services
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Languages
- English
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