Senior Artificial Intelligence Engineer - Machine Learning

Description :

Required Qualifications :

- 5 to 8+ years of experience in ML Engineering/Applied AI

Strong experience with :

- 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

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