Title: Senior Data Scientist Years of Experience : 8+ years *Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months , the candidate will be offered remote opportunities.* Job Description The Senior Data Scientist will lead the development and implementation of advanced analytics and AI/ML models to solve complex business problems. This role requires deep statistical expertise, hands-on model building experience, and the ability to translate raw data into strategic insights. The candidate will collaborate with business stakeholders, data engineers, and AI engineers to deploy production-grade models that drive innovation and value. Key responsibilities Lead end-to-end model lifecycle: data exploration, feature engineering, model training, validation, deployment, and monitoring Develop predictive models, recommendation systems, anomaly detection, NLP models, and generative AI applications Conduct statistical analysis and hypothesis testing for business experimentation Optimize model performance using hyperparameter tuning, ensemble methods, and explainable AI (XAI) Collaborate with data engineering teams to improve data pipelines and quality Document methodologies, build reusable ML components, and publish technical artifacts Mentor junior data scientists and contribute to CoE-wide model governance Technical Skills ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost Statistical tools: Python (NumPy, Pandas, SciPy), R, SAS NLP & LLMs: Hugging Face Transformers, GPT APIs, BERT, LangChain Model deployment: MLflow, Docker, Azure ML, AWS Sagemaker Data visualization: Power BI, Tableau, Plotly, Seaborn SQL and NoSQL (CosmosDB, MongoDB) Git, CI/CD tools, and model monitoring platforms Qualification Masters in Data Science, Statistics, Mathematics, or Computer Science Microsoft Certified: Azure Data Scientist Associate or equivalent Proven success in delivering production-ready ML models with measurable business impact Publications or patents in AI/ML will be considered a strong advantage.
Title: Senior Data Architect Years of Experience : 5-8+ years Location: Onsite ( The selected candidate is required to relocate to Kovilpatti/ Chennai, Tamil Nadu for the initial three-month project training session). Job Description: The Senior Data Architect will design, govern, and optimize the entire data ecosystem for advanced analytics and AI workloads. This role ensures data is collected, stored, processed, and made accessible in a secure, performant, and scalable manner. The candidate will drive architecture design for structured/unstructured data, build data governance frameworks, and support the evolution of modern data platforms across cloud environments. Key responsibilities Architect enterprise data platforms using Azure/AWS/GCP and modern data lake/data mesh patterns Design logical and physical data models, semantic layers, and metadata frameworks Establish data quality, lineage, governance, and security policies Guide the development of ETL/ELT pipelines using modern tools and streaming frameworks Integrate AI and analytics solutions with operational data platforms Enable self-service BI and ML pipelines through Databricks, Synapse, or Snowflake Lead architecture reviews, design sessions, and CoE reference architecture development Technical Skills Cloud Platforms: Azure Synapse, Databricks, Azure Data Lake, AWS Redshift Data Modeling: ERWin, dbt, Power Designer Storage & Processing: Delta Lake, Cosmos DB, PostgreSQL, Hadoop, Spark Integration: Azure Data Factory, Kafka, Event Grid, SSIS Metadata/Lineage: Purview, Collibra, Informatica BI Platforms: Power BI, Tableau, Looker Security & Compliance: RBAC, encryption at rest/in transit, NIST/FISMA Qualification Bachelors or Masters in Computer Science, Information Systems, or Data Engineering Microsoft Certified: Azure Data Engineer / Azure Solutions Architect Strong experience building cloud-native data architectures Demonstrated ability to create data blueprints aligned with business strategy and compliance.