Data Scientist

Detailed : Data Scientist

ROLE PROFILE • Designs and develops scalable machine learning models and AI-driven solutions to address complex business challenges and enhance decision-making processes

KEY RESPONSIBILITIES

• 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

PROFESSIONAL EXPERIENCE/QUALIFICATIONS

• 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)
• 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.