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Data Scientist – Generative AI

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Onsite

Data Scientist – Generative AI

InfoBeans

Data Scientist – Generative AI

Skills

Google Cloud PlatformData EngineeringPythonData ScienceDatabricksMachine LearningAIAWSApache AirflowMicrosoft TeamsAzure

19 days ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Onsite

Published on:

6 October 2026

What they need


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.

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