Senior Data Scientist

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟯𝟬 𝗟𝗣𝗔)

Experience: 5+ yrs

• Location: Bengaluru, Chennai
• Job Type: Full-time
• We are looking for an experienced
• Senior Data Scientist with strong expertise in Python, Machine Learning, Generative AI, Large Language Models (LLMs), and AI engineering to develop intelligent, scalable, and data-driven solutions. The ideal candidate will combine statistical expertise and analytical thinking with practical experience building AI applications, retrieval-augmented generation (RAG) pipelines, AI agents, and production-ready machine learning systems.
• You will work on complex business challenges, translating data and analytical requirements into innovative solutions that improve decision-making, automate workflows, and deliver measurable business value.

Requirements

• Key Responsibilities
• Translate business challenges into analytical problems and deliver actionable, data-driven recommendations.
• Collect, process, cleanse, and validate data to ensure accuracy, consistency, and analytical reliability.
• Develop and optimise machine learning models, classifiers, predictive systems, and automation solutions.

Build AI-powered applications, including chatbots,

• RAG pipelines, workflow agents, and multi-agent systems
• Develop Python-based APIs and microservices integrating LLMs from OpenAI, Anthropic, AWS, Azure, and Google Cloud.
• Design retrieval, embedding, inference, and knowledge-processing pipelines using vector databases and knowledge graphs.
• Implement AI and machine learning workloads on AWS, Azure, and GCP using scalable cloud architectures.
• Establish deployment, evaluation, monitoring, and retraining pipelines for production AI systems.
• Apply infrastructure-as-code practices using tools such as Terraform and CloudFormation.
• Develop automated anomaly detection systems, dashboards, and reporting solutions for continuous monitoring.
• Conduct statistical analysis, hypothesis testing, experimentation, and exploratory data analysis.
• Present findings, model outcomes, and recommendations clearly to clients and business stakeholders.
• Ensure AI solutions follow appropriate security, governance, reliability, and responsible AI practices.
• Participate in architecture discussions and code reviews while maintaining clean, maintainable code.
• Manage project delivery, mentor junior team members, and contribute to recruitment and knowledge-sharing initiatives.

What Makes You a Great Fit

• 5+ years of experience in data science, analytics, machine learning, or applied AI.
• Strong programming skills in Python, with hands-on experience developing production-grade data and AI applications.
• Expertise in machine learning algorithms, including regression, classification, optimisation, and neural networks.
• Strong understanding of statistical analysis, probability distributions, hypothesis testing, and experimental design.
• Practical experience with Generative AI, LLMs, RAG, LangChain, LangGraph, or AutoGen
• Knowledge of vector databases, embeddings, retrieval systems, knowledge graphs, and AI agent architectures.

Experience with cloud AI/ML services such as

• AWS Bedrock and SageMaker, Azure OpenAI and AI Studio, or GCP Vertex AI and Gemini
• Familiarity with MLOps/LLMOps, CI/CD, Docker, Kubernetes, and event-driven systems.
• Experience with relational databases, SQL, and NoSQL or big-data technologies such as MongoDB, Cassandra, or Hadoop.
• Proficiency in data visualisation tools such as Tableau, Power BI, QlikView, or D3.js.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.
• Ability to manage projects end to end, collaborate across teams, and mentor emerging talent.
• A bachelor's degree in Engineering, Computer Science, or a related analytical discipline is preferred; a relevant master's degree is an advantage.
• A continuous-learning mindset and strong interest in Generative AI, AI safety, intelligent automation, and emerging technologies