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