Senior Data Scientist

Job Title: Senior Data Scientist

Experience: 6+ Years

Location: Chennai, Bengaluru

Employment Type: Full-Time

Job Summary

The role combines Data Architecture, Data Science, Machine Learning, Generative AI, LLMs, cloud platforms, and MLOps. The candidate will work across the complete AI/ML lifecycle, including data assessment, model development, deployment, monitoring, and integration with enterprise systems.

Key Responsibilities

• Define data requirements and design scalable data architectures for AI/ML applications.
• Develop and implement machine learning algorithms, models, and computational solutions.
• Design and build scalable data pipelines supporting model training and production workloads.
• Develop and operationalize AI/ML solutions using DevOps and MLOps practices.
• Customize and implement Deep Learning, Generative AI, and LLM-based solutions based on business requirements.
• Work with large-scale datasets and implement effective data preprocessing and quality techniques.
• Design efficient data storage and retrieval mechanisms for AI models and knowledge assets.
• Build and deploy AI/ML solutions in cloud environments.
• Design and implement data architecture standards, data models, integration patterns, and best practices.
• Evaluate and justify AI/ML approaches based on business value, scalability, and technical feasibility.
• Collaborate with business stakeholders, engineers, architects, product teams, and end users to deliver end-to-end solutions.
• Lead technical discussions and contribute to key architecture and technology decisions.
• Troubleshoot complex technical and data-related challenges across teams.
• Mentor junior team members and facilitate knowledge sharing.
• Research and evaluate emerging technologies in AI, GenAI, LLMs, distributed computing, and high-performance computing.

Must-Have Skills

• Data Science
• Machine Learning
• Python
• AI/ML frameworks such as TensorFlow or PyTorch
• Generative AI / LLMs
• Machine Learning model development and deployment
• Data Architecture and Data Modeling
• Data Pipelines
• MLOps / DevOps
• Cloud-based AI/ML deployment
• SQL

Good-to-Have Skills

• Snowflake
• AWS
• Databricks
• Deep Learning
• Distributed Computing
• High-Performance Computing (HPC)
• C++
• Java
• R
• LLM APIs
• AI/ML monitoring and production operations

Required Experience

• Minimum 5 years of relevant experience in Data Science, AI/ML, or related fields.
• 3+ years of experience developing and deploying machine learning models in production at scale.
• Experience with production ML monitoring, alerting, auditing, and operationalization.
• Strong understanding of computer science fundamentals, system architecture, and programming.
• Experience with distributed computing, big data, cloud computing, or high-performance computing.
• At least 1 year of experience building and deploying AI/ML software in a cloud environment.
• Hands-on experience with Python and Python-based AI/ML frameworks.
• Experience working with LLM APIs and optimizing LLM usage for enterprise applications.
• Experience with modern data platforms such as Snowflake, AWS, or Databricks is an advantage.

Educational Qualification

• Bachelor's degree or equivalent in Computer Science, Engineering, Data Science, Mathematics, Information Technology, or a related field.
• 15 years of full-time education is required.