We are looking for a dynamic and experienced Data Scientist to join our growing AI & Data Science team. In this role, you will lead projects and collaborate with cross-functional teams to build and deploy cutting-edge machine learning solutions that drive business value.

Technical and Professional Requirements

Minimum 5+ years of experience in data science, with at least 2 years in a leadership or team management role.
Proficiency in Natural Language Processing (NLP) techniques such as LDA, embeddings, Retrieval-Augmented Generation (RAG).
Experience in time series forecasting, statistical modeling, and predictive analytics.
Hands-on experience with Databricks, Azure ML stack, Python, and Django.
Solid understanding of end-to-end data science workflows, from data engineering to model deployment.
Ability to collaborate across diverse teams and communicate technical concepts clearly to stakeholders.

Job Responsibilities

Build and deploy end-to-end ML pipelines, including data preprocessing, model training, and production deployment.
Implement supervised, unsupervised, and deep learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Collaborate with data scientists and engineers to integrate ML models into production systems.
Use MLOps tools like MLflow or Kubeflow for CI/CD and model lifecycle management.
Monitor and optimize deployed models for performance and scalability.
Stay updated on ML advancements and contribute to innovation within the team.

Educational Requirements:

Minimum 60% in any two of the following:

Secondary
Higher Secondary
Graduation.

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