India InternTrainee (Software Engineer)

We are looking for a passionateAI/ML Developerto join our team and contribute to building next-generation AI applications. You will work onmachine learning models Generative AI systems RAG (Retrieval-Augmented Generation) pipelines and Agentic AI frameworksleveragingcloud platforms such asAzure AI(or similar) to develop scalable production-ready solutions.

This role is ideal for someone who has hands-on experience inPython AI/ML frameworks and modern GenAI techniquesand is excited about applying them to solve real-world business problems.

Key Responsibilities

• Design build and deployAI/ML modelsfor classification prediction and optimization tasks.

• Develop and implementGenAI solutions(LLMs prompt engineering fine-tuning embeddings).

• BuildRAG pipelinesintegrating vector databases knowledge graphs and LLMs.

• ImplementAgentic AI workflowsfor automation reasoning and multi-step task execution.

• Work withAzure AI services (OpenAI Cognitive Search ML Studio Data Factory)or similar platforms (AWSSagemaker GCP Vertex AI).

• OptimizeML pipelines forscalability performance and cost efficiencyin cloud and edge environments.

• Collaborate with cross-functional teams (data engineers domain experts product managers).

• Stay updated with the latestAI/ML/GenAI research and toolsand integrate best practices.

Required Skills & Qualifications

• Education: B.E.//in Computer Science AI/ML Data Science or related field.

• Experience: 25 years in AI/ML development.

• Programming: Strong inPython(NumPy PandasPyTorch/TensorFlowLangChain Transformers).

• ML/AI: Model training fine-tuning evaluation deployment.

• GenAI: Experience with LLMs (OpenAILLaMA Mistral etc.) embeddings and prompt design.

• RAG Systems: Knowledge of vector databases (Pinecone FAISSWeaviate Milvus).

• Agentic AI: Familiarity with AI agents (LangChainAgentsAutoGenCrewAI Semantic Kernel).

• Cloud: Hands-on withAzure AI(preferred) or AWS/GCP AI services.

• MLOps: Model versioning CI/CD deployment usingMLflow/Docker/Kubernetes.

• Strong problem-solving analytical and debugging skills.

Good to Have

• Knowledge ofNLP Computer Vision or Multi-modal AI.

• Experience withknowledge graphs or graph databases.

• Exposure toedge AI deployments.

• Contributions to open-source AI/ML projects.