Senior Data Scientist

New Vision Softcom Consultancy; Pune District; Hybrid; INR 3,000,000 - 5,000,000; Full time

Job summary

New Vision Softcom Consultancy in Pune seeks an experienced Senior Data Scientist to lead the design, development, and deployment of AI/ML solutions. This role focuses on ML, DL, NLP, and Generative AI with cloud-backed scalability.

You will guide a team of data scientists and ML engineers, collaborating with stakeholders to translate business challenges into AI-driven products and systems in production environments.

Qualifications

• Strong expertise in Machine Learning and predictive analytics.
• Hands-on experience in Deep Learning model development and deployment.
• Strong understanding of NLP techniques and applications.
• Experience building Generative AI solutions using LLMs.
• Proficiency in Python and AI/ML development frameworks.
• Hands-on experience with cloud platforms such as AWS, Azure, or 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.

Responsibilities

• Lead the design, development, and deployment of ML/DL, NLP, and Generative AI solutions.
• Architect end-to-end AI pipelines from data ingestion to deployment and monitoring.
• Develop production-ready AI systems focusing on scalability and reliability.
• Lead LLM, Retrieval-Augmented Generation, and AI agent initiatives.
• Mentor junior data scientists and ML engineers through reviews and sessions.
• Manage and lead a team with planning, allocation, and performance tracking.
• Collaborate with stakeholders to translate business challenges into AI solutions.
• Drive experimentation, feature engineering, model optimization, and performance tuning.
• Ensure model governance, reproducibility, and MLOps best practices.
• Stay updated with AI advancements in LLMs, NLP, and Generative AI.

Skills

Machine Learning

Deep Learning

NLP

Generative AI

Python

Cloud platforms

Git

CI/CD

Docker

Leadership

MLOps

Tools

Docker

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.