AI/ML Engineer

AI/ML Engineer (5-8 Years) | PAN India
Experience: 5-8 Years
Location: PAN India
Looking 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 Responsibilities
Design, 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 Skills
Programming: Python, SQL
ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM
Generative AI: GPT APIs, LangChain, LlamaIndex, RAG, AI Agents, Prompt Engineering
Cloud: AWS SageMaker, S3, Lambda, Glue, CloudWatch, IAM
MLOps: SageMaker Pipelines, Model Registry, Docker, Jenkins, Git
Data Engineering: Pandas, NumPy, Athena
Strong understanding of model evaluation, feature engineering, and deployment best practices
Good to Have
Geospatial Analytics (ArcGIS, GeoPandas, GDAL, OSMnx)
Computer Vision and Multimodal AI
Experience in enterprise automation, RFPs, and PoC development
Preferred Experience
5-8 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.

Work arrangement
No