Data Scientist

Role Overview : Data Scientist

Location : Remote / Indore / Mumbai / Chennai / Gurugram

Experience : Min 5 Years

Work Mode : Remote

Notice Period : Max. 30 Days (45 for Notice Serving)

Interview Process : 2 Rounds

Interview Mode : Virtual Face-to-Face

Interview Timeline : 1 Week

Industry : Must be from a BPO / KPO / Shared Services or Healthcare Org.

Key Responsibilities :

• AI / ML Development & Research
• Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.
• Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
• Build agent-based AI systems with autonomous decision-making capabilities.
• Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
• Perform model evaluation, validation, and continuous optimization to ensure high performance.
• Cloud Infrastructure & Full-Stack Development :
• Architect and implement scalable, cloud-native ML / AI solutions using AWS, Azure, or GCP.
• Develop full-stack applications that seamlessly integrate AI models with modern web technologies.
• Build and maintain robust ML pipelines using cloud services (e.g., SageMaker, ML Engine).
• Implement CI / CD pipelines to streamline ML model deployment and monitoring processes.
• Design and optimize cloud infrastructure to support high-performance computing workloads.
• Data Engineering & Database Management
• Design and implement data pipelines to enable large-scale data processing and real-time analytics.
• Work with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.
• Optimize database performance to support machine learning workloads and real-time applications.
• Implement robust data governance frameworks and ensure data quality assurance practices.
• Manage and process streaming data to enable real-time decision-making.
• Leadership & Collaboration
• Mentor junior data scientists and assist in technical decision-making to drive innovation.
• Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to develop solutions that align with organizational goals.
• Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.
• Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI / ML applications.

Required Qualifications :

Non Negotiables :