Senior Data Scientist (AI & ML)

Leute Passen Technologies; Kolkata District; On-site; INR 2,000,000 - 4,500,000; Full time

Job summary

A technology consulting firm in Kolkata is seeking a Senior Data Scientist/AI-ML Engineer to design and deploy AI/ML solutions across various domains including NLP and Computer Vision. Must have 5–10 years of experience, strong proficiency in Python, and knowledge of MLOps practices. Key responsibilities include developing scalable models and optimizing data pipelines. This full-time role offers the opportunity to work on challenging real-world problems with cross-functional teams.

Qualifications

• 5–10 years of hands-on experience in AI/ML development and deployment.
• Deep expertise in Machine Learning, Deep Learning, NLP, and Computer Vision.
• Excellent analytical, problem-solving, and communication skills.
• Experience with Generative AI, LangChain, RAG, and LLMs is a strong plus.
• Strong knowledge of SQL/NoSQL, REST APIs, and data visualization tools (Power BI/Tableau).
• Hands-on experience with MLOps/DevOps tools such as Docker, Kubernetes, MLflow, Git, and Azure.
• Excellent analytical, problem-solving, and communication skills.
• Master’s preferred in Data Science/CS.

Responsibilities

• Design, develop, deploy, and maintain scalable AI/ML models.
• Build and optimize data pipelines and APIs for integration.
• Implement MLOps best practices for automation and scalability.
• Preprocess data, engineer features, train models, tune hyperparameters, evaluate performance.
• Collaborate with engineering, product, and business teams to drive AI product development.
• Implement MLOps best practices for automation, reproducibility, and scalability with Docker, MLflow, Kubernetes, and Azure.
• Develop and maintain CI/CD workflows for ML systems.
• Document architectures, experiments, and deployment processes; maintain Git version control.

Skills

AI/ML development

Python

NLP

Computer Vision

Deep Learning

MLOps

Django/Flask

SQL/NoSQL

Docker

Kubernetes

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field

Tools

TensorFlow

PyTorch

MLflow

Azure

Power BI

Tableau

Tableau

Django

Flask

Job description

Leute Passen Technologies provided pay range

This range is provided by Leute Passen Technologies. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

We are looking for an experienced Senior Data Scientist/AI-ML Engineer to design, develop, and deploy end-to-end AI/ML solutions. You will work on challenging real-world problems across NLP, Computer Vision, and Generative AI, collaborating with cross‑functional teams to deliver scalable, production‑ready models and systems.

Key Responsibilities

• Design, develop, deploy, and maintain scalable AI/ML models using Python and frameworks like Django/Flask.
• Build and optimize data pipelines and APIs to integrate machine learning models into production systems.
• Work across multiple AI domains including NLP, Computer Vision, and Generative AI to deliver impactful solutions.
• Perform data preprocessing, feature engineering, model training, hyperparameter tuning, and performance evaluation.
• Collaborate with engineering, product, and business teams to drive AI product development and insights.
• Implement MLOps best practices for automation, reproducibility, and scalability using Docker, MLflow, Kubernetes, and Azure.
• Develop and maintain robust CI/CD workflows for ML systems.
• Document model architectures, experiments, and deployment processes; maintain version control (Git).

Required Qualifications

• 5–10 years of hands‑on experience in AI/ML development and deployment.
• Strong proficiency in Python and experience with web frameworks (Django/Flask).
• Deep expertise in Machine Learning, Deep Learning, NLP, and Computer Vision using TensorFlow/PyTorch and scikit‑learn.
• Experience with Generative AI, LangChain, RAG, and LLMs is a strong plus.
• Strong knowledge of SQL/NoSQL databases, REST API development, and data visualization tools (Power BI/Tableau).
• Hands‑on experience with MLOps/DevOps tools such as Docker, Kubernetes, MLflow, Git, and Azure cloud services.
• Excellent analytical, problem‑solving, and communication skills.
• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field (Master’s preferred).

Preferred Skills

• Experience in building scalable microservices and cloud‑native AI solutions.
• Familiarity with data engineering tools (Apache Spark, Airflow) is a plus.
• Knowledge of monitoring and logging tools for ML systems.
• Publications, open‑source contributions, or a strong portfolio of AI projects.

Skills: language model’s (llm), langchain, data, cloud, azure, natural language processing, django, models, nlp, data scientist, design, generative ai, retrieval‑augmented generation (rag), ml, computer vision

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting