AI Data Engineer- W2 CONTRACT
Title: AI Data Engineer Client: Innova solutions//Oncolens Location: Remote What You’ll Do Build & Own Data Systems
- Design and maintain
scalable data pipelines (batch and real-time)
- Ensure
data quality, consistency, and reliability across systems
- Eliminate “gray areas” between upstream and downstream data
Ship AI-Driven Features
- Partner with product and engineering to
deliver AI-enabled functionality
- Deploy, monitor, and troubleshoot
LLM-based and ML systems in production
- Focus on
shipping reliable outputs , not just experimentation Operationalize & Validate
- Productionize models and workflows into
robust, maintainable systems
- Build
validation frameworks and sanity checks for output quality
- Improve observability, performance, and system reliability
Work Through Ambiguity
- Translate loosely defined problems into
clear technical solutions
- Make pragmatic tradeoffs and clearly communicate decisions
- Execute quickly while maintaining a high quality bar
What We’re Looking For Technical Background
- Strong experience in
data engineering , including:
- Building and maintaining pipelines
- Experience with
Spark or similar distributed systems
- Proficiency in
Python, SQL, and modern data platforms
- Experience
operationalizing data systems and/or models in production
- Exposure to
AI/ML systems , including:
- Working with or integrating
LLMs or modern AI tools
- Understanding of
probabilistic systems and LLM fundamentals
- Using AI tools to accelerate development and problem solving
- Solid
statistical intuition :
- Ability to reason about data quality, anomalies, and outputs
How You Think
- Product-oriented
: Focused on outcomes, not tasks
- Critical thinker
: Naturally validates outputs and assumptions
- Pragmatic
: Leverages existing tools vs. over-engineering
- Adaptable
: Comfortable in a fast-moving AI environment Collaboration & Communication
- Clear, proactive communicator with strong follow-through
- Able to explain
how and why you approach problems
- Comfortable working cross-functionally with product, engineering, and data teams.
Thanks & Regards Shyam (SAM) Recruiters Email: [email protected] Apply tot his job Apply To this Job