Hiring: Senior AI/ ML Engineer Company: Sandisk Location: Bengaluru, Karnataka, India Job Posted Time: 2026-09-16 14:39:16 Target Skills & Keywords : AWS, Azure, CI/CD, Data Pipeline, Databricks, Deep Learning, Feature Store, GCP, LLM, MLOps, MLflow, Machine Learning, PyTorch, Python, RAG, SAFe, SQL, Spark, TensorFlow About the job Experience: •5+ years of professional experience in AI/ML engineering, data science, or a related role, with demonstrated ownership of production ML systems. Required Skills: •Lead the end-to-end design, development, and deployment of machine learning models and GenAI solutions for manufacturing intelligence, yield optimization, supply chain analytics, and enterprise data platforms. •Architect and implement data pipelines, feature stores, and model serving infrastructure on Lakehouse and cloud-native architectures (Databricks, Azure). •Develop prompt engineering strategies and feedback loops for LLM optimization; capture and normalize LLM interactions into reusable Knowledge Artifacts. •Implement Retrieval-Augmented Generation (RAG) pipelines, including document parsing, chunking, vectorization, and semantic search using embeddings and vector databases. •Support domain-specific ontologies,taxonomiesgovernance and versioning. •Design agentic workflows using industry-standard frameworks for autonomous task orchestration and multi-step reasoning, with safe and controlled execution via constraints, policies, and fallback paths. •Partner cross-functionally with cross-functional teams to define KPIs, success metrics, and business impact measurements for AI/ML initiatives. •Mentor intermediate and junior engineers; conduct code reviews and establish best practices for ML engineering. Qualifications: •Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. •Deep expertise in machine learning algorithms, deep learning frameworks (PyTorch, TensorFlow), and statistical modeling. •Strong proficiency in Python; experience with distributed computing frameworks (Apache Spark) and SQL. •Applied hands-on capability in MLOps practices: model versioning (MLflow), CI/CD for ML, automated retraining, monitoring, and drift detection. •Proven ability to translate business requirements into technical solutions and communicate results to non-technical stakeholders and senior leadership. •Operational familiarity with vector databases, embedding models, and semantic search architectures. •Domain experience in semiconductor manufacturing, NAND Flash, or related hardware/electronics industries. •Certifications in Cloud Architecture (Azure, AWS, or GCP). Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!