C
Not Specified Permanent

Philadelphia, Pennsylvania · USA job

Machine Learning / Data Science Engineer

CapTech

Philadelphia, Pennsylvania

Job description

Overview

CapTech seeks a mid-senior Machine Learning Engineer to design, implement, and productionize data-driven ML systems for enterprise clients. You will work with cross-functional teams to translate business needs into scalable ML solutions and help grow CapTech's ML & Data Science practice. You'll tackle data-rich challenges across multiple domains and present outcomes to clients, enabling measurable impact. This role blends hands-on development with leadership in client engagements and internal knowledge sharing.

Compensation / Benefits
  • generous PTO
  • health coverage
  • disability insurance
  • paid family leave
  • tuition support and learning programs
  • 401(k) matching
Responsibilities
  • Design and deploy end-to-end ML solutions in collaboration with cross-functional teams
  • Deconstruct client needs into data-driven models and metrics
  • Analyze and transform large enterprise datasets across AWS, Azure, and GCP
  • Develop production-ready analytical solutions (e.g., recommender systems, NLP, risk scoring)
  • Productionize ML systems with a focus on performance and scalability
  • Contribute to business development and lead junior data scientists and engineers
  • Deliver client presentations and help grow the ML/Data Science practice
Key requirements
  • Bachelor degree or equivalent experience
  • Hands-on with large datasets (multi-billion records)
  • Proficient in Python, Scala, or similar languages
  • Strong SQL, Spark, NoSQL, and cloud data processing experience in production
  • Experience with Docker and microservices
  • Familiarity with Snowflake, Databricks, Azure SQL, Amazon RDS
  • Ability to frame data problems from cross-industry requirements
  • Hands-on experience deploying production-scale ML in domains such as personalization, NLP, or computer vision
  • Knowledge of DevOps, statistics, and model versioning
  • Experience with LLMs in production and prompt engineering, MCP, RAG, agentic AI architectures
  • Experience with LangChain, n8n, pydantic, multi-agent orchestration
  • cross-functional collaboration
  • client-facing communication
  • leadership of teams
  • Python
  • Scala
  • SQL

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