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.

Work arrangement
No