Data Scientist – Generative AI

Experience: 5+ Years

Location: Indore/Pune

Joining: Immediate Joiners Preferred

About the Role

We are looking for an innovative and highly skilled Data Scientist with strong Generative AI expertise to join our team and work on cutting-edge AI initiatives for a leading global enterprise.

You will be responsible for designing, developing, evaluating, and deploying Generative AI and LLM-based solutions to solve complex business and industrial challenges. This is an exciting opportunity to work with modern AI technologies and contribute to impactful, enterprise-scale solutions.

Key Responsibilities

Research and apply the latest advancements in Generative AI, LLMs, and AI architectures to real-world business problems.
Design, develop, fine-tune, and deploy GenAI solutions for use cases such as text generation, code generation, synthetic data, and intelligent automation.
Develop and optimize solutions using LLMs, prompt engineering, and GenAI cloud services.
Work with OpenAI, AWS Bedrock, or similar GenAI platforms.
Collaborate with Data Engineers to identify, collect, preprocess, and manage datasets required for AI solutions.
Develop evaluation frameworks, metrics, and methodologies to assess and improve LLM/GenAI performance.
Build and maintain scalable AI/ML pipelines using appropriate MLOps and CI/CD practices.
Collaborate with product managers, software engineers, researchers, and business/domain experts to translate requirements into AI solutions.
Lead technical initiatives and mentor junior engineers/data scientists.
Stay updated with the latest developments in AI, Machine Learning, Generative AI, and LLM technologies.
Ensure solutions follow responsible AI, data privacy, security, and governance best practices.
Communicate complex technical concepts effectively to non-technical stakeholders.

Required Skills & Experience

5+ years of experience in Data Science, Machine Learning, AI, or a related field.
Bachelor's degree in Computer Science, Information Technology, Data Science, or a related discipline.
Strong hands-on experience with Python for development, automation, and AI/ML solutions.
Practical experience with Generative AI and Large Language Models (LLMs).
Strong understanding of prompt engineering, LLM usage, and GenAI best practices.
Experience with at least one major cloud platform: AWS, Azure, or GCP.
Knowledge of Data Engineering and data/streaming technologies.
Hands-on experience with MLOps tools/frameworks such as MLflow, Kubeflow, Airflow, CI/CD, or equivalent.
Understanding of storage solutions and data lifecycle management.
Strong problem-solving, analytical, and communication skills.
Ability to work independently in a self-organized, collaborative environment.
Experience leading technical teams and mentoring junior engineers.
Strong customer and stakeholder orientation.
Excellent English communication skills – mandatory.

Good to Have

Hands-on experience with Databricks.
Experience building Microsoft Teams chatbots or integrations.
Experience with advanced LLM application development, evaluation, and optimization.
Exposure to enterprise-scale AI/ML deployments.

What We Offer

Opportunity to work on cutting-edge Generative AI and LLM projects.
Exposure to modern cloud, MLOps, and AI technologies.
Collaborative and innovation-driven work environment.
Strong learning and career growth opportunities.
Flexible work arrangements and employee-focused benefits.

Data Scientist Generative AI