Data Scientist

Findability Sciences; Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Findability Sciences seeks an AI/ML professional to design and deploy predictive and GenAI solutions for real-world business use cases in Mumbai. You will build optimized LLM-based workflows for summarization, retrieval, and Q&A, and collaborate with cross-functional teams to define use cases and develop proofs-of-concept.

The role requires 2+ years in AI/ML with a Masters or PhD, strong Python/SQL skills, and hands-on experience with ML Ops, deployment, monitoring, and pipeline automation.

Qualifications

• 2+ years of AI/ML experience with advanced degrees in a relevant field.
• Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering.
• Experience with predictive modeling, time series forecasting, and generative AI use cases.

Responsibilities

• Design and deploy predictive & GenAI solutions for real-world business use cases.
• Build and optimize LLM-based workflows for summarization, retrieval, and Q&A.
• Collaborate with cross-functional teams to define use cases and develop proof-of-concepts.
• Translate business problems into ML/GenAI solutions and deliver outcomes.
• Validate, compare, and optimize models for performance and scalability.
• Apply basic ML Ops practices to ensure smooth deployment and monitoring of models.
• Contribute to reusable pipelines, prompt tuning strategies, and production integration.
• Present actionable insights and models to stakeholders clearly and effectively.

Skills

Python

SQL

Machine Learning

LLMs

RAG

Prompt Engineering

Education

Masters or PhD in a relevant field

Tools

ML Ops tools

Version control

CI/CD for ML

Job description

Role & responsibilities

• Design and deploy predictive & GenAI solutions for real-world business use cases
• Build and optimize LLM-based workflows for summarization, retrieval, and Q&A
• Collaborate with cross-functional teams to define use cases and develop proof-of-concepts
• Translate business problems into ML/GenAI solutions and deliver outcomes
• Validate, compare, and optimize models for performance and scalability
• Apply basic ML Ops practices to ensure smooth deployment and monitoring of models
• Contribute to reusable pipelines, prompt tuning strategies, and production integration
• Present actionable insights and models to stakeholders clearly and effectively

Preferred candidate profile

2+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field
Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering
Experience in predictive modeling, time series forecasting, and generative AI use cases
Experience with ML Ops workflows — model deployment, monitoring, versioning, and pipeline automation