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