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AI ML Architect @ Tata Consultancy

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Tata Consultancy  AI ML Architect

Job Description

Role: AI ML Architect


Required Technical Skill Set: Python/Java, Machine Learning, Deep Learning, Natural Language Processing, Data Science and Analytics


Desired Experience Range: 7-12 years


Location of Requirement: Delhi/Noida


Desired Competencies (Technical/Behavioral Competency)


Must-Have


  • 10+ years of IT experience
  • 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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Tata Consultancy
Location(s): Noida, Gurugram

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Keyskills:   Artificial Intelligence Machine Learning Python mlops end to end Generative Ai ML Pipeline architect Natural Language Processing Retrieval-Augmented Generation Deep Learning Data Science ML Model design Architecting Machine Learning Operations

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Tata Consultancy

We are hiring Fulltime with TechMahindra for below mentioned Skills:\\\\n\\\\n1. Experience with Big Data Environment\\\\n\\\\n2. Hands on coding in Python, Spark, Hive\\\\n\\\\n3. Shell Scripting