Platform Engineer III

HCLTech • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • 3 days ago
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Salary
≈ $10k – $29k per year (Estimated)
Location
In office (Noida)
Seniority
Middle · 6+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match

HCLTech

HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.
hcltech.com • HQ: Noida, India • Science & Engineering • Professional Services • Cybersecurity • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 5000+ employees • Est. 1976
Tech stack of HCLTech

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 6 years of experience in Machine Learning, predictive analytics

  • 6+ 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.
  • 6+ 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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