AI/ML & Data Science

Greetings from Tata Consultancy Services Recruitment Team! *Face to Face* Interview For all those AI / ML & Data Engineer we are coming bigger with the plan of Face to Face Drive on 22nd August,2026 (Saturday) in Bangalore It is a Face to Face interview planned to attract great Talents in AI / ML & Data Engineer. We believe that your skills and expertise are a better match for the skills we are looking for. Skill: AI / ML & Data Engineer (Face to Face) Years of experience: Minimum 5 years of relevant experience required Location : Bangalore Date: 22nd August (Saturday) (Face to Face) Drive Time: 9 AM to 2 PM Key responsibilities Mentor and guide junior AI/ML engineers, fostering a culture of continuous learning and improvement. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Stay up-to-date with the latest advancements in AI/ML technologies in the market. Optimize and scale AI/ML models for performance and efficiency. Hands On Experience in AI Concepts –Google ADK, Vertex, Gemini, Azure Open AI, Cloud Vision Communicate findings and insights to stakeholders through clear and concise reports and presentations. Excellent problem-solving skills and attention to detail. Strong communication and leadership abilities. Solid understanding of data structures, algorithms, and statistical methods. Strong proficiency in programming languages such as Python, R, or Java. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras). Proven experience in leading AI/ML projects and teams. Prompt Engineering Techniques. Experience with Public cloud platforms (e.g Google Cloud) is a add-on. Key Skills/Knowledge: Agentic AI: Google ADK , LangChain, LangGraph GCP : Google Kubernetes Engine, Identity Access and Management, VPC, Networking-Firewalls, role bindings, k8s custom resource definations, Big Query Version Control : Github, Branch management and familiarity with code review process and merging strategy. Container technologies : Docker & GKE Development : Python 3.x , Bash, Sql