Senior Data Scientist AIML

New Era Solutions; Kolkata District; Hybrid; INR 45,00,000; Full time

Job summary

A data solutions firm in Kolkata is seeking a Senior Data Scientist specialized in AI and Machine Learning. The role involves designing and implementing scalable AI/ML models, optimizing data pipelines, and collaborating with cross-functional teams to drive impactful AI solutions. The ideal candidate should have 5-10 years of experience with a strong proficiency in Python, machine learning frameworks, and MLOps tools. This is a hybrid position offering a competitive salary package.

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.

Responsibilities

• Design, develop, deploy, and maintain scalable AI/ML models using Python.
• Build and optimize data pipelines and APIs for machine learning integration.
• Collaborate closely with engineering, product, and business teams on AI projects.
• Implement MLOps best practices for automation and scalability.

Skills

AI/ML development

Python proficiency

Machine Learning

Deep Learning

NLP

Computer Vision

SQL

NoSQL

MLOps

DevOps

Git

Azure cloud services

Education

Bachelor’s or Master’s degree in Data Science

Tools

Docker

Kubernetes

MLflow

TensorFlow

PyTorch

Django

Flask

Power BI

Tableau

Apache Spark

Airflow

Job description

Senior Data Scientist AIML

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.