At H&P, our people are our strength. Job Description: AI/ML Intern Location: Goa/Noida Experience: 0–2 years Department: AI/ML Engineering About the Role We are looking for a passionate AI/ML Internto join our team and contribute to building next-generation AI applications. You will work on machine learning models, Generative AI systems, RAG (Retrieval-Augmented Generation) pipelines, and Agentic AI frameworks, leveraging cloud platforms such as Azure AI (or similar) to develop scalable, production-ready solutions. This role is ideal for someone who has hands-on experience in Python, AI/ML frameworks, and modern GenAI techniques and is excited about applying them to solve real-world business problems. Key Responsibilities Design, build, and deploy AI/ML models for classification, prediction, and optimization tasks. Develop and implement GenAI solutions (LLMs, prompt engineering, fine-tuning, embeddings). Build RAG pipelines integrating vector databases, knowledge graphs, and LLMs. Implement Agentic AI workflows for automation, reasoning, and multi-step task execution. Work with Azure AI services (OpenAI, Cognitive Search, ML Studio, Data Factory) or similar platforms (AWS Sagemaker, GCP Vertex AI). Optimize ML pipelines for scalability, performance, and cost efficiency in cloud and edge environments. Collaborate with cross-functional teams (data engineers, domain experts, product managers). Stay updated with the latest AI/ML/GenAI research and tools and integrate best practices. Required Skills & Qualifications Education: B.E./B.Tech/M.Tech in Computer Science, AI/ML, Data Science, or related field. Experience: 0–2 years in AI/ML development. Programming: Strong in Python (NumPy, Pandas, PyTorch/TensorFlow, LangChain, Transformers). ML/AI: Model training, fine-tuning, evaluation, deployment. GenAI: Experience with LLMs (OpenAI, LLaMA, Mistral, etc.), embeddings, and prompt design. RAG Systems: Knowledge of vector databases (Pinecone, FAISS, Weaviate, Milvus). Agentic AI: Familiarity with AI agents (LangChain Agents, AutoGen, CrewAI, Semantic Kernel). Cloud: Hands-on with Azure AI (preferred) or AWS/GCP AI services. MLOps: Model versioning, CI/CD, deployment using MLflow/Docker/Kubernetes. Strong problem-solving, analytical, and debugging skills. Good to Have Knowledge of NLP, Computer Vision, or Multi-modal AI. Experience with knowledge graphs or graph databases. Exposure to edge AI deployments. Contributions to open-source AI/ML projects. Thank you for your interest in joining our team! For more than 100 years, Helmerich & Payne (H&P) has expanded drilling operations to meet the increasing demands of a complex and globalized industry. But our industry is changing, with software, algorithms and automation playing a more important role than ever before. We are committed to being a partner to our customers in their operations by providing custom drilling solutions and technologies that don’t just meet, but exceed, their evolving goals and expectations. It’s this commitment that drives us to invest in the brightest people and the most advanced technologies, to support our customers’ operations every step of the way.

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