Senior Data Scientist AIML

Leute Passen Technologies; Kolkata District; Hybrid; INR 4,050,000 - 4,950,000; Full time

Job summary

A leading technology firm is seeking a Senior Data Scientist to design and maintain scalable AI/ML models, collaborate across teams, and implement MLOps best practices in a hybrid role based in Kolkata. The ideal candidate should have 5–10 years of experience in AI/ML development, proficiency in Python, and strong knowledge of machine learning frameworks. This position offers a comprehensive salary package of 45 LPA and opportunities to work on impactful AI solutions.

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.

Responsibilities

• Design, develop, deploy, and maintain scalable AI/ML models using Python.
• Build and optimize data pipelines and APIs for production systems.
• Collaborate with cross-functional teams to drive AI product development.

Skills

AI/ML development and deployment

Python proficiency

Machine Learning expertise

Deep Learning proficiency

NLP skills

Computer Vision knowledge

SQL/NoSQL databases

REST API development

MLOps/DevOps tools

Communication skills

Education

Bachelor's or Master's in Data Science, Computer Science, or related field

Tools

Django

Flask

TensorFlow

PyTorch

Docker

Kubernetes

MLflow

Git

Azure

Power BI

Tableau

Apache Spark

Airflow

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

Salary Package: 45 LPA

Work Mode: Hybrid (Kolkata)

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

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