Pune, Maharashtra
INR 4.84878 - 0.00094 Lacs P.A.
On-site
Full Time
Job Title: Data Scientist – GenAI & Business Insights Location: Pune Experience: 3+ years About the Role: We are seeking a curious, solution-driven Data Scientist with strong experience in GenAI application development and a passion for solving real business problems through data. This role involves working on cutting-edge technologies like LLMs, agentic AI frameworks, RAG architecture, and integrating enterprise knowledge for intelligent applications. Key Responsibilities: Develop and fine-tune Large Language Model (LLM) applications tailored to business needs. Work with agentic AI frameworks such as LangChain , LlamaIndex , and Semantic Kernel . Implement Retrieval-Augmented Generation (RAG) patterns to integrate enterprise knowledge bases. Design and orchestrate prompts, tools, and workflows for GenAI systems. Translate business problems into data science problems; align work with OKRs using statistical validations. Conduct in-depth data wrangling , exploratory data analysis , and generate actionable insights. Create compelling data stories and dashboards; communicate findings with clarity to both technical and non-technical stakeholders. Apply design thinking and data literacy in cross-functional problem-solving. Must-Have Skills: Hands-on experience in LLM application development and fine-tuning . Familiarity with agentic frameworks and RAG systems. Strong skills in data wrangling , Excel VBA , and insight generation . Excellent communication (vocal & written) and storytelling ability. Problem-solving mindset with a balance of technical depth and business understanding. Ability to make data-driven decisions on iterations vs convergence. Quick learner with high business acumen and a strong desire to explore new domains. Design thinking and empathy for end users. Preferred Qualifications: Background in Computer Science, Data Science, Engineering, or a related field. 3 years of industry experience in analytics, AI, or data product development. Demonstrated portfolio or examples of AI/data-driven project ownership. Why Join Us? Be at the forefront of AI transformation, driving impact across diverse business problems while collaborating in a fast-paced, learning-oriented environment. How to Apply: If you’re excited by the opportunity to work at the intersection of GenAI and business innovation, apply directly via Indeed or send your updated resume with the subject line “Application – Data Scientist (GenAI & Insights)” to [email protected] Job Types: Full-time, Permanent Pay: ₹484,878.94 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your Current CTC? What is your expected CTC? What is your Official Notice Period/Last Working Day? Experience: Data science: 3 years (Preferred) Work Location: In person
Pune, Maharashtra
INR 21.6 - 22.8 Lacs P.A.
Remote
Full Time
Machine Learning Architect Location: Pune & Remote Experience: 8+ Years Job Summary: We are hiring a Machine Learning Architect with expertise in cloud-native ML deployment, optimization using Gurobi, and advanced decision systems on Google Cloud. Key Responsibilities: Design scalable ML solutions using GCP (Vertex AI, AutoML) Develop optimization models using Gurobi and Google OR Build automated ML pipelines Collaborate with business and engineering teams Qualifications: Bachelor's/Master’s in Computer Science, AI, or Data Science 5+ years in ML architecture Proficient in TensorFlow, PyTorch, Gurobi, BigQuery, Apache Spark Preferred: PhD or experience in Reinforcement Learning MLOps & CI/CD pipelines familiarity Apply Now! Job Types: Full-time, Permanent Pay: ₹2,160,000.00 - ₹2,280,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? What is your official notice period/last working day? Experience: Total: 8 years (Required) ML Architecture: 5 years (Required) Work Location: In person
Pune
INR 18.0 - 18.5 Lacs P.A.
Remote
Full Time
Python Developer – FastAPI + AI/ML Location: Remote | Hybrid: Pune/Bangalore/Hyderabad (1–2 days/week) Experience: 6–8 Years Job Summary: We are hiring a Python Developer with deep experience in FastAPI-based microservices and exposure to AI/ML tools. You will work on highly scalable services and REST APIs in an AI-first environment. Key Skills: Strong Python and OOP RESTful APIs, FastAPI, Kubernetes SQLAlchemy, Alembic, Git Knowledge in NLP and Generative AI Ideal Profile: Experience building high-performance microservices Good debugging, problem-solving, and collaborative skills Apply Now! Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹1,850,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? What is your official notice period/last working day? Experience: Python: 6 years (Preferred) Work Location: In person
Pune
INR 18.0 - 19.0 Lacs P.A.
Remote
Full Time
Generative AI Specialist Location: Remote Or Hybrid: Pune/Bangalore/Hyderabad (1–2 days/week) Experience: 5+ Years Job Summary: We’re seeking a Generative AI Specialist with deep experience in LLMs and RAG pipelines. You will build applications using GPT, LangChain, and vector databases for document Q&A and summarization. Key Skills: GPT, LangChain, RAG pipelines ChromaDB, Pinecone, vector similarity Python, Git, Azure OpenAI Ideal Profile: 6+ years of AI/ML experience, including 2+ in Generative AI Experience in building and deploying LLMs on Azure Developed document summarization and Q&A solutions Apply Now! Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹1,900,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? What is your official notice period/last working day? Experience: AI: 6 years (Required) ML: 6 years (Required) Work Location: In person
Pune
INR 21.6 - 22.8 Lacs P.A.
Remote
Full Time
Machine Learning Architect Location: Pune & Remote Experience: 8+ Years Job Summary: We are hiring a Machine Learning Architect with expertise in cloud-native ML deployment, optimization using Gurobi, and advanced decision systems on Google Cloud. Key Responsibilities: Design scalable ML solutions using GCP (Vertex AI, AutoML) Develop optimization models using Gurobi and Google OR Build automated ML pipelines Collaborate with business and engineering teams Qualifications: Bachelor's/Master’s in Computer Science, AI, or Data Science 5+ years in ML architecture Proficient in TensorFlow, PyTorch, Gurobi, BigQuery, Apache Spark Preferred: PhD or experience in Reinforcement Learning MLOps & CI/CD pipelines familiarity Apply Now! Job Types: Full-time, Permanent Pay: ₹2,160,000.00 - ₹2,280,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? What is your official notice period/last working day? Experience: Total: 8 years (Required) ML Architecture: 5 years (Required) Work Location: In person
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