India: AI Engineer

Helmerich & Payne, Inc.; Goa; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Helmerich & Payne (H&P) is seeking an AI Engineer with strong Python, ML/DL, and NLP background to build end-to-end AI solutions. The role covers designing advanced ML models, deploying GenAI applications, and delivering full-stack AI-enabled services for internal and external customers.

You will work on agentic AI, RAG pipelines, and integration with cloud tools while collaborating with cross-functional teams and maintaining high data standards.

Qualifications

• Bachelor's degree or higher in a related field such as CS or AI.
• 2+ years of professional Python, ML, and DL experience.
• Proficiency in NLP libraries and transformer models.
• Experience building full-stack web applications with AI/ML features.
• Hands-on with agentic GenAI, RAG pipelines, and vector databases.

Responsibilities

• Design and implement ML models and algorithms for business problems.
• Develop GenAI applications and RAG pipelines to automate workflows.
• Build front-end and back-end services delivering AI/ML capabilities.
• Collaborate with cross-functional teams and communicate findings clearly.
• Stay updated on AI trends and integrate new tools as needed.

Skills

Python

ML & DL

NLP

GenAI

RAG pipelines

Full-stack dev

LLM orchestration

LangChain

Education

Bachelor's degree in CS/AI

Tools

React

FastAPI/Django

SQL/NoSQL

Job description

At H&P, our people are our strength. We are seeking a skilled and experienced AI Engineer with expertise in Python, Machine Learning, Deep Learning, and full-stack software development. The ideal candidate will have a strong background in machine learning and a deep understanding of Natural Language Processing and will be equally comfortable building the front-end and back-end of the applications that put those models to work including agentic and generative AI (GenAI) solutions such as Retrieval-Augmented Generation (RAG) systems to develop advanced solutions for intelligent document processing. The role involves leveraging advanced analytical techniques and modern software engineering practices to drive data-driven decision-making and deliver innovative, end-to-end solutions to our Internal and External Customers.

Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms to solve complex business problems.
• Leverage expertise in Python, Machine Learning to develop cutting-edge data-driven solutions.
• Utilize NLP and NLU techniques to extract insights, classify, and process information from unstructured text data in documents.
• Design, build, and deploy agentic AI and generative AI (GenAI) applications, including Retrieval-Augmented Generation (RAG) pipelines and LLM-powered agents, to automate workflows and enhance decision-making.
• Build and maintain full-stack applications — front-end interfaces and back-end services/APIs — that deliver AI/ML and GenAI capabilities to end users.
• Conduct data analysis, pre-processing, and modeling to extract valuable insights and drive data-driven decision-making.
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable AI/ML solutions.
• Stay up to date with the latest advancements in AI/ML technologies, frameworks, and tools, and proactively learn and adopt new technologies to enhance our offerings.
• Communicate effectively with stakeholders, presenting findings, recommendations, and project progress in a clear and concise manner.

Primary Skills

• Machine Learning (e.g., CNN, RNN, GAN, Transformers, Encoder-Decoder architectures, NLTK, Transformers).
• Knowledge and experience in Python.
• Full-Stack Software Development: Proficiency building complete web applications, including front-end (e.g., JavaScript/TypeScript, React, HTML/CSS) and back-end development (e.g., Python frameworks such as FastAPI, Flask, or Django; RESTful/GraphQL API design; SQL/NoSQL databases).
• Agentic AI & Generative AI: Hands-on experience designing, building, and deploying agentic AI systems and LLM-powered applications, including orchestration and agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, LangGraph, AutoGen, CrewAI), vector databases (e.g., FAISS, Pinecone, Azure AI Search), and prompt engineering.
• Data Analysis and Modeling.
• AI/ML Architecture: Design and develop scalable and efficient AI/ML architectures to support the deployment of machine learning models.
• Data Engineering: Work closely with data engineers to ensure the availability, quality, and reliability of data required for AI/ML projects.
• RAG Pipelines: Implement robust and reliable RAG (Retrieval - Augmented Generation) pipelines to automate the end-to-end AI/ML workflow.
• MLOps: Implement MLOps practices to streamline the development, deployment, and management of AI/ML models.
• Azure AI Tools: Experience with Azure AI tools and services, such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services.
• Research and Problem-Solving.

Qualification & Requirements

• Bachelor's degree or higher in Computer Science, AI/ML, or a related field.
• Minimum of 2+ years of relevant professional experience in Python, Machine Learning, Deep Learning.
• Strong expertise in data analysis, modeling, and machine learning techniques (e.g., regression, classification, clustering, deep learning).
• Proficiency in Python and relevant libraries/frameworks for NLP (e.g., NLTK, spaCy, Transformers).
• Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Demonstrated experience building and deploying full-stack applications (front-end and back-end) that integrate AI/ML or GenAI capabilities.
• Practical, hands-on experience developing agentic AI and GenAI applications using RAG architectures, LLM orchestration frameworks, and vector databases.
• Experience in working with large and complex datasets, data pre-processing, and feature engineering.
• Solid understanding of statistical concepts and their applications in data analysis.
• Proven track record of delivering successful AI/ML projects and driving business impact.
• Excellent communication, presentation, and documentation skills.
• Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.
• Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

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.