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Platform Engineer II

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Onsite

Platform Engineer II

HCLTech

Platform Engineer II

Skills

Google Cloud PlatformDeep LearningPythonData ScienceNumPypandasKerasPyTorchTensorFlowRGoogle BigQueryData AnalysisMachine LearningAIAWSKubernetesPySparkAzure

10 months ago

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Important information


Location:

Uttar Pradesh, India

Work mode:

Onsite

Published on:

1 September 2026

What they need


Gautam Buddha Nagar, Uttar Pradesh

Job Summary

Experience in designing & implementing solution in mentioned areas:

Strong experience in developing AI/ML models on Google Cloud Platform Core Skills : TensorFlow, Recommendation Systems, Deep Learning, NumPy, Pandas, Sklearn, Python, R, Keras, Statistical Analysis, Computer Vision, PySpark

Key Responsibilities

Min 5 years of experience in Machine Learning, predictive analytics

  • 5+ years of hands on experience in developing models using Machine Learning and Deep Learning related technologies such as Keras, TensorFlow, pyTorch, GCP AI/ML services.
  • 5+ years of experience in Python, Spark. Experience working in python libraries like TensorFlow, Spark ML, scikit-learn, pandas, NumPy etc.
  • Software engineering in Python, good with Python SDK, able to build libraries and comfortable in deploying Python codes in production.
  • Hands on experience on Model deployment and Model Monitoring on any public cloud (AWS/Azure/ GCP). GCP experience is an added advantage
  • Prior experience of handling Supervised Learning, Un-supervised learning, and Reinforcement learning problems in different industry verticals (Banking/ Finance/ telecom/Retail/ technology etc)
  • Experience transforming data science prototypes into robust, scalable products running seamlessly in production
  • Experience with implementing CI/CD principles in the Machine Learning domain (ML Ops)
  • Exposer to containers and its orchestration (Kubernetes).
  • Google Cloud Platform: BigQuery, Cloud Composer, Vertex AI & AI/ML services in general
  • Strong hold of concepts in Statistics and expertise in Machine Logs processing, text mining and text analytics.

Skill Requirements

Technical / Functional Skills: - Experience in designing & implementing solution in mentioned areas:

Strong experience in developing AI/ML models on Google Cloud Platform Core Skills : TensorFlow, Recommendation Systems, Deep Learning, NumPy, Pandas, Sklearn, Python, R, Keras, Statistical Analysis, Computer Vision, PySpark .

Other Requirements

Core Competencies (Soft Skills): - Strong communication & presentation- Analytical, client-first mindset- Leadership & stakeholder management- Ability to work in global, fast-paced environment.

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