Gen AI Engineer/ Data scientist

Tata Consultancy Services; Chennai District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Tata Consultancy Services seeks a senior AI/ML lead to mentor junior engineers, translate business needs into scalable ML solutions, and drive continuous improvement across projects.

You will collaborate with cross-functional teams, stay abreast of AI/ML developments, and optimize models for performance and efficiency, leveraging tools like TensorFlow, PyTorch, Vertex AI, and Azure OpenAI.

Qualifications

• Strong proficiency in programming languages (Python, R, Java).
• Extensive experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras).
• Solid understanding of data structures, algorithms, and statistics.
• Hands-on experience with Google ADK, Vertex, Gemini, Azure Open AI, Cloud Vision.

Responsibilities

• Mentor and guide junior AI/ML engineers to foster continuous learning.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Stay updated with latest AI/ML advancements in the market and apply them.

Skills

Python

R

Java

Data structures

Algorithms

Statistics

Leadership

Communication

Model optimization

Tools

TensorFlow

PyTorch

scikit-learn

Keras

Google ADK

Vertex AI

Gemini

Azure OpenAI

Cloud Vision

Job description

• 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).