At H&P;, our people are our strength.

We are looking for a passionate AI/ML Developer to 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: 2–5 years in AI/ML development.
- Programming: Solid 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 K

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🏢 9999 Helmerich & Payne Management
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