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]
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