Job Description
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 reliabilityacross 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 checksfor 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 ForTechnical 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 modelsin 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 whyyou approach problems
- Comfortable working cross-functionally with product, engineering, and data teams.
Thanks & Regards
Shyam (SAM)
Recruiters
Email: [email protected]
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