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.

📌 Senior Data Scientist (Chennai)
🏢 PineQ Lab Technology
📍 Chennai