Maharashtra Senior data scientist Jobs – 95 Open Jobs Today

Sr. GenAI Engineer
Apptware —Pune, Maharashtra
- Azure
- Master's degree
- Databases
Sr. Manager- II - BIU - Customer Analytics SC
ICICI Prudential Life Insurance —Mumbai, Maharashtra
- Azure
- Computer Science
- Master's degree
9d
Apprentice-IT
Eaton —Pune, Maharashtra
- Azure
- Computer Science
- Engineering
AI/ML Computational Science Assoc Mgr
Accenture —Navi Mumbai, Maharashtra
- Full-time
- AI
- Python
Senior Gen AI Developer
Logixal —Mumbai, Maharashtra
- Azure
- Computer Science
- DevOps
Sr. Delivery Consultant-AI/ML, ProServe
AWS ProServe IN - Karnataka —Mumbai, Maharashtra
- Full-time
- Computer Science
- SQL
- AWS
13d
Marketing Platform Auto Senior Analyst
Accenture —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Sr. AI Lead
EDMO —Pune, Maharashtra
- Full-time
- Salesforce
- Java
- Master's degree
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Python GenAI Developer - Assistant Vice President
Citi —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Software Development Engineer (AI/ML and GenAI Engineer)
Diebold Nixdorf —Mumbai, Maharashtra
- Full-time
- Azure
- Engineering
- Master's degree

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Sr. Manager- II - BIU - Customer Analytics SC
ICICI Prudential Life Insurance —Mumbai, Maharashtra
Collaboration Work closely with data scientists, product managers, and business stakeholders to translate complex business problems into effective AI solutions…
9d

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Sr. GenAI Engineer

Apptware
Pune, Maharashtra

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Job details

Qualifications

Ontology
TensorFlow
Image processing
Azure
Law
Cassandra
PyTorch
Computer vision
Big data
Spark
NoSQL
MongoDB
Master's degree
Databases
SQL
OS Kernels
AWS
Project management
Machine learning
PostgreSQL
Distributed systems
Django
APIs
ETL
Data science
Flask
AI
Communication skills
Graph databases
Python
MySQL
Hadoop

Full job description

About the Role:

We are looking for a highly skilled and experienced Senior Gen AI engineer to spearhead AI/ML initiatives and oversee the development of advanced machine learning models, deep learning architectures, and generative AI systems. The ideal candidate will have 7-8 years of hands-on experience in data science, machine learning, and data engineering, with a strong focus on leadership, innovation, and generative AI technologies. You will be responsible for guiding a team, delivering AI solutions, and collaborating with cross-functional stakeholders to meet business goals. The desired candidate should be well versed in AI/ML solutioning and should have worked on end to end Product Deliveries.

Key Responsibilities:

Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization.
Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning.
Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers.
Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments.
Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth.
Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities.
Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services.
Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects.
Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders.

Required Skills and Qualifications:

Experience: 6-7 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering.
Generative AI Expertise: Minimum 2+ years of experience with generative AI. Hands-on experience with LLMs, RAG, and AI agents.
AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., AutoGen, CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.).
Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn.
LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data.
Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications.
SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, etc.).
API Development: Experience in developing APIs using Flask, FastAPI, or Django.
Cloud & MLOps: Experience working with AWS, GCP, Azure and MLOps best practices.
Excellent communication, leadership, and project management skills.
Strong problem-solving ability with a focus on delivering scalable, impactful solutions.

Preferred Skills:

Experience with Computer Vision applications.
Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques.
Ontology: Understanding of ontologies for knowledge representation in AI systems.
Data Engineering: Experience with ETL pipelines and data engineering workflows.
Familiarity with big data tools like Spark, Hadoop, or distributed computing.

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senior data scientist jobs in maharashtra

Sr. GenAI Engineer

Sr. Manager- II - BIU - Customer Analytics SC

Apprentice-IT

AI/ML Computational Science Assoc Mgr

Senior Gen AI Developer

Sr. Delivery Consultant-AI/ML, ProServe

Marketing Platform Auto Senior Analyst

Sr. AI Lead

Python GenAI Developer - Assistant Vice President

Senior Software Development Engineer (AI/ML and GenAI Engineer)

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