Senior Data scientist

About the Role

We are seeking a Senior Data Scientist specializing in Generative AI for our Bengaluru office. In this role, you will tackle a wide array of cutting-edge data science and machine learning challenges across various industries. You will collaborate closely with clients to deeply understand their business contexts and challenges. If you are passionate about leveraging data science and machine learning to solve complex, unstructured business problems, we encourage you to apply.

Function

Data Science and Analytics

Responsibilities

• Architect, develop, and deploy machine learning models and AI solutions into live production environments.
• Partner with fellow data scientists to transform prototypes into scalable, enterprise-ready applications.
• Design and implement enterprise-level AI systems, utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), knowledge graphs, and multi-agent orchestration.
• Seamlessly integrate AI models into existing products, APIs, and broader enterprise systems.
• Conduct rigorous experimentation, fine-tuning, and error analysis to enhance model accuracy and reliability.
• Continuously monitor, maintain, and retrain deployed models to ensure sustained optimal performance.
• Stay current with the latest advancements in AI/ML, MLOps practices, and cloud-native AI technologies.
• Collaborate with stakeholders to translate business challenges into effective AI-driven solutions.
• Uphold ethical standards and responsible AI principles throughout the AI lifecycle.

Desired Skills & Competencies

• Strong learning acumen and a high sense of ownership.
• Ability to thrive in a fast-paced, deadline-driven environment.
• Passion for technology and highly skilled at data interpretation.
• Excellent problem-solving abilities.
• Strong programming skills in Python, including frameworks like TensorFlow, PyTorch, and scikit-learn.
• Proficiency with Generative AI frameworks such as LangGraph, AutoGen, and OpenAI SDK, along with prompt engineering for foundation models from OpenAI, HuggingFace, and Anthropic.
• Knowledge of Natural Language Processing (NLP), computer vision, or generative AI concepts, including LLMs, diffusion models, RAG, model fine-tuning, conversational AI, and knowledge graphs.
• Familiarity with cloud AI services from AWS (SageMaker), Azure ML, and GCP (Vertex AI).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Hands-on experience with model deployment through APIs, microservices, and real-time inference.

Nice-to-Have Skills

• Experience with MLOps tools like MLflow, Kubeflow, Airflow, Docker, and Kubernetes.
• Experience with big data technologies such as Spark, Hadoop, and Databricks.
• Exposure to responsible AI frameworks and bias detection methods.
• Contributions to open-source AI/ML projects.

Desired Experience & Education

• 2 to 3.5 years of relevant Machine Learning experience.
• B.Tech from a Tier-1 college, or an M.S. or M.Tech. degree in Computer Science, Information Technology, or a related field is preferred.