Platform Engineer II

Job Description

Platform Engineer II

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

1. Certification in Semiconductor Device Characterization or related fields is optional but valuable (e.g., IEEE Certified Semiconductor Professional).

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Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.