Technical Professional – GenAI Data Science

Halliburton; Bengaluru; On-site; INR 946,969 - 1,420,454; Full time

Job summary

Halliburton is seeking a GenAI Data Scientist for its innovation center in Bengaluru. This role involves developing innovative Generative AI solutions tailored for the global energy industry. The ideal candidate must possess strong analytical capabilities, programming expertise in Python, and a passion for machine learning and AI ethics.

Qualifications include a bachelor's or higher degree in Computer Science, Data Science, or a related field, along with 2 to 3 years of relevant experience. Competitive compensation and career development opportunities are provided.

Qualifications

• 2 to 3 years of experience in relevant fields such as Data Science or AI.
• Strong analytical skills and a passion for machine learning.
• Experience in designing AI applications.

Responsibilities

• Develop and deploy Generative AI solutions for the energy industry.
• Interpret data using statistical techniques and methods.
• Collaborate with cloud service platforms for AI/ML services.

Skills

Statistics

Multivariate calculus

Linear algebra

Python

Machine Learning

Deep Learning

Generative AI

Git

SQL

NoSQL

Education

Bachelors/Masters/Dual-Degree/Ph.D. in relevant field

Tools

Pandas

NumPy

TensorFlow

PyTorch

Job description

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Duties

We are seeking a GenAI Data Scientist to join our innovation center team in Bengaluru. You’ll work with us to envision, develop, and deploy next-generation Generative AI solutions for the global energy industry.

In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning, research, and a commitment to ethical AI development.

Knowledge, Skills, and Abilities

• Mathematics: Statistics, Multivariate calculus, Linear algebra, Optimization
• Programming Language: Advanced Python
• Python Packages:
  • Data Handling/Visualization: Pandas, NumPy, Seaborn, Matplotlib
  • Machine Learning: Scikit-Learn, XGBoost, LightGBM
  • Deep Learning: TensorFlow, PyTorch
  • Generative AI: LangChain, LlamaIndex, Haystack, Hugging Face transformers
• Generative AI:
  • Large Language/Vision Models (LLM/LVM): Experience with a variety of models (Gemini, GPT, Claude, Llama) and their APIs.
  • Model Fine-tuning: Expertise in fine-tuning foundation models for domain-specific tasks.
  • Retrieval Augmented Generation (RAG): Designing and implementing robust RAG systems for real-time, context-aware applications.
  • Prompt Engineering & Agentic Workflows: Advanced skills in prompt design and building multi-step AI agents.
  • Vector Databases/Search: Experience with vector databases and embedding techniques.
• Version Control System: Git (GitHub, GitLab, Bitbucket)
• Databases: SQL, NoSQL (MongoDB, Cassandra)
• Cloud Platforms: Hands‑on experience with at least one major cloud provider (AWS, Azure, or GCP), especially with their AI/ML and data services (AWS SageMaker, Azure Machine Learning, Google Vertex AI).
• Location: Bengaluru, Karnataka, India

Qualifications

Education: Bachelors/Masters/Dual-Degree/Ph.D. in Computer Science, Data Science, Artificial Intelligence, Engineering, Earth Sciences, or a related quantitative field.

Experience: 2 to 3 years

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Compensation Information: Compensation is competitive and commensurate with experience.