TripleLift
Data Scientist
New York, US•2 months ago
$90K – $120K
data sciencemachine learningpython
Engineering2 months agoOn-site
Merkle
AI Lead Engineer
AIGenAImachine learningLLMsdata pipelinesscalable systemstechnical leadership
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Mumbai, India
Full job description
Senior Applied AI / GenAI Specialist responsible for designing and delivering scalable AI and GenAI systems combining ML models, LLMs, retrieval, orchestration, and data pipelines. Lead solution design for complex problems with evolving requirements. Make architectural trade-offs regarding model selection, retrieval strategies, cost, latency, and scalability. Drive solutions from proof-of-concept to production-grade systems used across multiple teams. Act as a technical anchor for high-impact AI initiatives, guiding implementation without formal people management. Ensure robustness, observability, and optimization of AI systems in real-world environments. Location preferred Bangalore. Experience required: 5-8 years.
What you'll do
- Design and deliver scalable AI and GenAI systems
- Lead solution design for complex, ambiguous problems
- Make architectural trade-offs
- Drive solutions from proof-of-concept to production-grade systems
- Act as a technical anchor for AI initiatives
- Ensure robustness, observability, and optimization of AI systems
Requirements
- Design and deliver scalable AI and GenAI systems combining ML models, LLMs, retrieval, orchestration, and data pipelines
- Lead solution design for complex, ambiguous problems where requirements and success criteria evolve
- Make architectural trade-offs across model selection, retrieval strategies, cost, latency, and scalability
- Drive solutions from proof-of-concept to production-grade systems used across multiple teams
- Act as a technical anchor for high-impact AI initiatives, guiding implementation without formal people management
- Ensure robustness, observability, and optimization of AI systems in real-world environments
Tech stack
AIGenAIML modelsLLMsretrievalorchestrationdata pipelines
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