Applied AI/ML Engineer_97848

Company:Global Technology organization Key Skills: Artificial Intelligence, Machine Learning, Deployment, Python, PyTorch, TensorFlow, LLM, Recommendation Systems, LangChain Roles &

: • Translate ambiguous product and marketplace problems into production-ready AI systems. • Evaluate and select the appropriate approach for each use case, including embeddings, RAG, fine-tuning, or classical ML. • Build end-to-end ML pipelines covering data ingestion, cleaning, feature engineering, model development, evaluation, and deployment. • Develop core capabilities such as semantic search across SKUs and vendor catalogs, product recommendations, intelligent substitutions, and cost optimization models. • Work with LLM-based solutions, including prompt engineering, RAG pipelines, and fine-tuning techniques. • Implement embeddings and vector search for semantic retrieval and ranking over large-scale catalog data. • Make practical engineering trade-offs balancing accuracy, latency, and cost. • Deploy models into production and ensure reliability on real-world, noisy datasets. • Continuously improve models through monitoring, feedback loops, and performance optimization. • Collaborate closely with product and engineering teams to deliver impactful AI-driven features.

: • 4 - 8 years of experience in Applied AI/ML or related roles. • Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow. • Hands-on experience building and deploying machine learning models in production environments. • Experience working with LLMs, embeddings, RAG pipelines, or fine-tuning approaches. • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. • Experience with recommendation systems or search/ranking systems is a plus. • Familiarity with MLOps practices, deployment pipelines, and monitoring frameworks. • Ability to work with large, unstructured, and noisy datasets. • Strong problem-solving skills with the ability to translate business problems into technical solutions.

: MCA, B.E., B.Tech, B.Tech M.Tech (Dual)