Cette offre d'emploi n'est plus disponible
Machine Learning / Data Science Engineer
CapTech
- United States
- United States
À propos
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. You will collaborate with data scientists, engineers, and cross‑functional teams to transform business needs into data‑driven processes and deliver advanced analytical solutions.
Specific Responsibilities
Strategize 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.
Deconstruct client needs into data‑driven processes/models and analytical measures.
Analyze and transform large datasets hosted on a variety of 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 delivering client presentations, writing proposals, attending various 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) 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, 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.
Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here. 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 to support employees and their families.
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 to them, ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more.
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 and no vesting period to help you continue to build financial wellness.
Equal Opportunity Statement CapTech 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 throughout the hiring and employment process.
CapTech supports Equal Pay for all. In the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $95,000 – $160,000.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Consulting
Industries Business Consulting and Services
#J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.