Senior Data Scientist

NewVision Software; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

New Vision Softcom & Consultancy Pvt. Ltd seeks a Senior Data Scientist to lead the design, development, and deployment of advanced AI and ML solutions. You will leverage NLP, Generative AI, and scalable architectures to deliver production-grade systems and drive AI initiatives from ideation to impact.

You will mentor a team of data scientists and ML engineers, collaborate with stakeholders, and ensure robust governance, MLOps, and performance tuning across projects.

Qualifications

• Strong fundamentals in ML/DL and data-driven problem solving.
• Experience deploying AI systems at scale with cloud tech.
• Hands-on NLP and Generative AI project work.

Responsibilities

• Lead design, development, and deployment of ML/DL and NLP solutions.
• Architect end-to-end AI pipelines from data ingest to model monitoring.
• Develop production-ready AI systems focused on scalability and reliability.
• Drive LLM, RAG, AI agents and automation initiatives.
• Mentor data scientists and ML engineers; conduct code reviews.

Skills

Data Science

AI

Machine Learning

Python

Computer Vision

NLP

PyTorch

Deep Learning

MLOps

Cloud (AWS/Azure/GCP)

Job description

Company Name New Vision Softcom & Consultancy Pvt. Ltd

Function Business Units (BU)

Department/Practice AI & Analytics

Organization Unit Data Science

Region APAC

Country India

Base office location Pune

Working model Hybrid

Weekly Off Pune office Standard

State Maharashtra

Skills

Skill

Data Science - AI Machine Learning Python Computre vision NLP ML frameworks, Pytorch Deep Learning Prediction modelling-Advanced data mining and visu .NET Python Programming Expertise Neo4j Data Science ML Natural Language Processing - NLP

Graduation/Equivalent Course

CERTIFICATION

Working Language

Job Description

Job Description

Position: Senior Data Scientist

Job Summary

We are seeking an experienced and highly motivated Senior Data Scientist to lead the design, development, and deployment of advanced AI and Machine Learning solutions. The ideal candidate should possess strong expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI, along with hands-on experience in building scalable AI systems using modern frameworks and cloud technologies.

This role requires both strong technical leadership and people management skills. The candidate will lead a team of data scientists and machine learning engineers, collaborate with cross-functional stakeholders, and drive AI initiatives from ideation to production.

Key Responsibilities

• Lead the design, development, and deployment of Machine Learning, Deep Learning, NLP, and Generative AI solutions.
• Architect end-to-end AI pipelines, from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
• Develop production-ready AI systems with a focus on scalability, reliability, and performance.
• Lead the implementation of Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation solutions.
• Mentor and guide junior data scientists and machine learning engineers through code reviews, technical discussions, and knowledge-sharing sessions.
• Manage and lead a team, including task planning, work allocation, performance monitoring, and career development.
• Collaborate with business stakeholders to translate business challenges into AI-driven solutions.
• Drive experimentation, feature engineering, model optimization, and performance tuning.
• Ensure best practices in model governance, reproducibility, versioning, and MLOps.
• Stay current with advancements in AI, LLMs, NLP, and Generative AI technologies.

Required Technical Skills

• Strong expertise in Machine Learning and predictive analytics.
• Hands-on experience in Deep Learning model development and deployment.
• Strong understanding of Natural Language Processing (NLP) techniques and applications.
• Experience building Generative AI solutions using Large Language Models (LLMs).
• Proficiency in Python and AI/ML development frameworks.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Familiarity with Git, CI/CD pipelines, and code quality tools.
• Experience with Docker and containerized application deployment.
• Strong leadership experience in mentoring teams and delivering enterprise-scale AI/ML projects.