Sr AI Engineer

Job highlights

• Requirements Required Qualifications . 58+ years of experience in ML Engineering / Applied AI . Search,retrieval,and ranking systems . NLP / embeddings / deep learning models . Experimentation and evaluation methodologies .

Role Overview: We are hiring a Senior AI Engineer / Applied Scientist to build and scale ML systems powering ecommerce search, retrieval, and personalization. This is an 80% ML Engineering role focused on production systems, rapid experimentation, and measurable business impact.

You will own end-to-end AI solutions across matching, retrieval, ranking, and GenAI-powered experiences, from prototyping to deployment at scale.

Core Responsibilities

• Design, build, and improve ML models for:
• Product matching / entity resolution
• Semantic retrieval and search relevance
• Ranking and recommendation systems
• Develop and optimize multi-stage ranking pipelines (candidate generation ranking re-ranking)
• Run experimentation frameworks (offline evaluation, A/B testing) to drive continuous improvement
• Apply reinforcement learning / bandits for personalization and ranking optimization
• Build and deploy GenAI and agentic AI systems for search, discovery, and content use cases
• Productionize ML systems using Databricks-based pipelines and deploy services via AKS (Azure Kubernetes Service)
• Design scalable, reliable ML infrastructure with focus on latency, throughput, and cost efficiency
• Monitor model performance and continuously iterate using MLOps/LLMOps best practices
• Independently scope ambiguous problems and drive them from idea production

Requirements Required Qualifications

• 58+ years of experience in ML Engineering / Applied AI
• Search, retrieval, and ranking systems
• NLP / embeddings / deep learning models
• Experimentation and evaluation methodologies
• Proven track record of building production-grade ML systems
• Strong proficiency in Python
• Hands-on experience with Databricks and Kubernetes-based deployment (AKS preferred)
• Ability to learn quickly and operate independently in a fast-evolving AI landscape

Preferred Qualifications

• Masterdegree in Computer Science or related field (preferably in NLP or Computer Vision)
• Multi-stage ranking systems (search/recommendation engines)
• Reinforcement learning / bandits
• GenAI, LLMs, and agentic frameworks (LangChain, LangGraph, etc.)
• Ecommerce or marketplace domains
• Modern data platforms (Snowflake, Data Lakes)
• MLOps/LLMOps tools (MLflow or similar)
• AI governance (evaluation, explainability, safety)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.