AI/ML Engineer

AI/ML Engineer (5-8 Years) | PAN IndiaExperience: 5-8 Years Location: PAN IndiaLooking for an experienced AI/ML Engineer with strong expertise in Machine Learning, Generative AI, and AWS cloud technologies. The candidate will be responsible for building, deploying, and optimizing scalable ML solutions, developing GenAI applications, and implementing MLOps best practices for enterprise use cases.Key ResponsibilitiesDesign, train, deploy, and monitor ML models using AWS SageMaker.Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, and deployment.Develop predictive analytics solutions using Scikit-learn, TensorFlow, PyTorch, XGBoost, and LightGBM.Build GenAI solutions using GPT, Llama, Gemini, LangChain, LlamaIndex, AI Agents, and RAG frameworks.Implement MLOps practices including CI/CD, model versioning, monitoring, and automated deployments.Integrate AI/ML solutions with AWS services such as S3, Lambda, Glue, IAM, CloudWatch, and REST APIs.Collaborate with business and technical stakeholders to deliver scalable AI-driven solutions.Required SkillsProgramming: Python, SQLML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBMGenerative AI: GPT APIs, LangChain, LlamaIndex, RAG, AI Agents, Prompt EngineeringCloud: AWS SageMaker, S3, Lambda, Glue, CloudWatch, IAMMLOps: SageMaker Pipelines, Model Registry, Docker, Jenkins, GitData Engineering: Pandas, NumPy, AthenaStrong understanding of model evaluation, feature engineering, and deployment best practicesGood to HaveGeospatial Analytics (ArcGIS, GeoPandas, GDAL, OSMnx)Computer Vision and Multimodal AIExperience in enterprise automation, RFPs, and PoC developmentPreferred Experience5-8 years overall IT experience with 3+ years in AI/ML.Hands-on experience deploying production-grade AI/ML solutions on AWS.Experience building GenAI applications and AI-powered automation solutions.