AI ML Lead

Tata Consultancy Services

New Delhi, Dadri

Sur place

INR 1 500 000 - 2 100 000

Plein temps

14 jours+
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Résumé du poste

Tata Consultancy Services in Delhi is seeking an AI/ML Lead with 7–10 years of experience to drive end-to-end ML initiatives.

You will apply Python, deep learning, transformers, and ML frameworks to solve business problems, and collaborate with data teams to extract insights.

Experience with containers (Docker, Kubernetes), messaging (Kafka), and BI tools adds value; familiarity with Gen AI is a plus.

Qualifications

  • 7–10 years of relevant work experience in AI/ML lead roles.
  • Strong Python programming and debugging skills.
  • Expertise in ML models: DL, NLP, RL, and data analytics.
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-Learn).

Connaissances

Solutioning & Debugging
Python
Machine Learning
Deep Learning
NLP
Reinforcement Learning
Data Visualization
Power BI
Tableau
Matplotlib
TensorFlow
Scikit-Learn
PyTorch
Docker
Kubernetes
Kafka
Apache Camel
RabbitMQ
SQL/NoSQL
Time Series
Computer Vision

Outils

Power BI
Tableau

Description du poste

Role - AI/ML Lead

Exp - 7 - 10 yr

Location - Delhi

Skills - Python, SQL, Deep Learning , Transformers, Fastapi, Machine Learning, Generative Ai, Data Analytics and Science, Pytorch

Responsibilities:

Desired Competencies (Technical/Behavioral Competency)
Must-Have
  • Strong Solutioning & Debugging Skills
  • Strong programming skills in Python
  • Expertise in machine learning is a must. In depth knowledge of various machine learning models and techniques; deep learning, supervised and unsupervised learning, natural language processing, and reinforcement learning.
  • Expertise in data analysis and visualization to extract insights from large datasets and transmit them virtually. Good knowledge on data mining, statistical methods, data wrangling, and visualization tools like Power BI, Tableau and matplotlib.
  • Expertise in various machine learning frameworks - TensorFlow, Scikit-Learn and PyTorch.
  • Experience in Containers (Docker), Kubernetes, Kafka (or other messaging platform), Apache Camel, RabbitMQ, Active MQ, Storage / RDBMS and No-SQL databases etc.
  • Time Series Modelling
  • Computer Vision
Good-to-Have
  • Gen AI Certified / AI Certified Solution Architect
  • Experience supporting RFI/RFP activities
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