InfoBeans
Data Scientist – Generative AI
Skills
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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