AI/ML Engineer

Energeate Business Solutions; India; Hybrid; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading IT services provider in India is seeking a data scientist with a PhD or master's degree in data science. This hybrid role requires expertise in fine-tuning transformer models and generating synthetic data. The ideal candidate will have at least 2 years of experience in an enterprise setting and proficiency in tools like AWS Sagemaker and Google Vertex AI. Join a people-first organization dedicated to innovation and excellence in global technology solutions.

Qualifications

• Hands on experience fine tuning transformer models and/or Small Language Models (SLM).
• Hands on experience generating synthetic data expanding from a small volume of real data.
• Hands on experience developing automated testing (evals) frameworks for the trained models.
• 2+ years working in an enterprise setting, not just academic setting.

Skills

Fine tuning transformer models

Generating synthetic data

Developing automated testing frameworks

Proficient in AWS Sagemaker

Proficient in Google Vertex AI

Proficient in Azure ML

Education

PhD or master's in data science

Job description

Introduction -Our clientis a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises. With deep expertise acrosshighly regulated and complex industries, the organization is a trusted partner for integrating advanced technologies with streamlined, compliant processes. Its solutions help clients drive growth, foster innovation, and maintain reliability while building a strong competitive edge.

Recognized as a2024 Top Workplace, our client is known for its inclusive culture and unwavering commitment to excellence. The company’s recent global expansion—with new offices in theDominican Republic, Jakarta, and the Philippines, along with a strong presence inIndia (Hyderabad, Bangalore, Indore)—reflects its continued growth and global delivery strength. Partnering with our client means more than just a role—it means working with a people-first organization focused on long-term success in today’s fast-evolving digital world.

Work Mode- Hybrid

• PhD or master’s in data science
• Hands on experience fine tuningtransformer modelsand/orSmall Language Models (SLM)
• Hands on experience generating synthetic data expanding from a small volume of real data
• Hands on experience developing automated testing (evals) frameworks for the trained models
• Proficient in using tooling needed to finetune the models – AWS Sagemaker/ Google Vertex AI/ Azure ML
• 2+ years working in an enterprise setting, not just academic setting