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Mid LevelFull-timeMachine LearningAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
We are looking for a Lead AI Engineer / Senior Data Scientist to join our AI & Tech Accelerator. In this role, you will lead the design, development, and delivery of AI solutions, leveraging Machine Learning, Generative AI, and emerging Agentic AI patterns. You will play a key role in driving high-quality engineering practices, including code reviews, solution design, and mentoring, while remaining hands-on in development.
Key Responsibilities:
In this role, you will operate at the intersection of development, technical leadership, and delivery execution.
Design & Develop AI Solutions:
Design and build scalable AI/ML solutions using Machine Learning, Deep Learning, and Large Language Models (LLMs). Contribute actively to development, ensuring high-quality, production-ready code.
Code Review & Quality Governance:
Lead code reviews and enforce best practices across the team, ensuring maintainability, scalability, and performance of AI systems. Establish coding standards and improve engineering quality.
Generative & Agentic AI Implementation:
Develop and implement Generative AI use cases, including RAG pipelines, prompt engineering, embeddings, and LLM integrations. Contribute to building agentic workflows and multi-step reasoning systems.
Solution Delivery & Business Impact:
Deliver AI solutions across business domains (marketing, supply chain, retail, operations), ensuring alignment with business requirements and measurable impact.
Technical Leadership:
Guide junior team members, support design decisions, and contribute to solution architecture under the guidance of senior architects.
Cross-functional Collaboration:
Work closely with Data Engineers, Product Managers, and DevOps teams to integrate AI models into scalable production systems.
Mentorship & Knowledge Sharing:
Mentor team members, support onboarding, and promote best practices across AI/ML development and deployment.
What We Are Looking For:
We are seeking a hands-on technical leader who can balance coding, code quality ownership, and team guidance, with a strong focus on delivery excellence
