Data Scientist – Generative AI

InfoBeans Inc.; Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Cutting-edge GenAI projects

Modern cloud & MLOps

Collaborative environment

Job summary

InfoBeans Inc. seeks an innovative Data Scientist with strong Generative AI and LLM expertise to join our team and lead enterprise-scale AI initiatives across global customers.

You will design, develop, evaluate, and deploy GenAI/LLM-based solutions for text generation, synthetic data, and intelligent automation, collaborating with data engineers, software engineers, and product teams, while mentoring junior engineers and guiding responsible AI practices.

Qualifications

• 5+ years of experience in Data Science, ML, or AI.
• Bachelor's degree in CS/IT/Data Science.
• Strong Python development for AI/ML solutions.
• Hands-on GenAI and LLM experience.
• Cloud experience with AWS, Azure, or GCP.
• Experience with MLOps tools.
• Strong problem-solving and communication skills.
• Ability to mentor junior engineers.

Responsibilities

• Research and apply GenAI, LLMs, and AI architectures to real-world problems.
• Design, develop, and deploy GenAI/LLM solutions for text/code generation, synthetic data, and automation.
• Develop evaluation frameworks and metrics for LLM/GenAI performance.
• Build scalable AI/ML pipelines using MLOps and CI/CD practices.
• Collaborate with product managers, software engineers, researchers, and domain experts.
• Lead technical initiatives and mentor junior engineers.

Skills

Python

Generative AI

LLMs

Prompt engineering

MLOps

Cloud platforms

Leadership

Stakeholder comms

Education

Bachelor's in CS/IT/Data Science

Tools

MLflow

Kubeflow

Airflow

CI/CD

Databricks

Job description

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.

Good to Have

• Hands-on experience with Databricks.
• Experience building Microsoft Teams chatbots or integrations.
• Experience with advanced LLM application development, evaluation, and optimization.

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.