Data Scientist

• Designs and develops scalable machine learning models and AI-driven

  solutions to address complex business challenges and enhance decision-

  making processes

  KEY RESPONSIBILITIE S

  • Work with large and complex data sets to solve challenging business

  problems

  • Collect, clean, and preprocess large datasets for analysis & model training
  • Perform exploratory data analysis (EDA) to uncover insights and inform model

  development

  • Develop, train, and optimize machine learning models using state-of-the-art

  algorithms and frameworks

  • Build end-to-end ML pipelines, including data ingestion, transformation, model

  training, validation, and deployment

  • Automate workflows for model training, testing, and deployment using

  CI/CD pipelines and MLOps tools

  • Collaborate with cross-functional teams to integrate models into applications

  and deliver end-to-end solutions

Desired Candidate Profile

• 5 years of experience in data science, machine learning, or AI

  • Expertise in supervised/unsupervised learning, deep learning, NLP, computer

  vision, or generative AI (e.g., LLMs).

  • Strong proficiency in Python and/or R; familiarity with SQL for data querying
  • Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data

  tools

  • Understanding of model serving, API development (FastAPI, Flask), and

  optimizing model performance for real-time or batch inference.

  • Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like

  MLflow/Kubeflow for model lifecycle management (MLOps)

  Classified: Internal\ FAB.

  Internal

  • Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g.,

  Sagemaker, Vertex AI)

  • Educational qualifications: Master in Computer Science or a related field

  Work Experience

  5-7Years