Platform Engineer II

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Deep Learning · Data Science · Cloud Engineering

In short

Seeking a Platform Engineer II with 5+ years of experience in AI/ML model development on Google Cloud Platform. Responsibilities include designing and implementing ML solutions, deploying models, and applying ML Ops principles. Proficiency in Python, TensorFlow, Keras, and cloud services like Vertex AI is required.

Responsibilities

Design & implement AI/ML models on Google Cloud Platform.
Develop models using Machine Learning and Deep Learning technologies (Keras, TensorFlow, pyTorch, GCP AI/ML services).
Write Python, Spark code and libraries, and deploy Python codes in production.
Deploy and monitor models on public cloud (AWS/Azure/GCP).
Handle Supervised Learning, Un-supervised learning, and Reinforcement learning problems.
Transform data science prototypes into scalable production products.
Implement CI/CD principles in Machine Learning domain (ML Ops).
Work with containers and orchestration (Kubernetes).
Utilize Google Cloud Platform services: BigQuery, Cloud Composer, Vertex AI.
Process logs, perform text mining and text analytics.

Requirements

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).
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).
Exposure to containers and its orchestration (Kubernetes).
Experience with 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.
Strong experience in developing AI/ML models on Google Cloud Platform.

Desired Qualifications

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

Benefits

Supercharge your potential, find your career, and find your spark.
A place that knows that helping its customers stay on top starts by putting its people first.
Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.

Skills

TensorFlowRecommendation SystemsDeep LearningNumPyPandasSklearnPythonRKerasStatistical AnalysisComputer VisionPySparkSparkpyTorchGCP AI/ML servicesSpark MLscikit-learnKubernetesBigQueryCloud ComposerVertex AIML Ops

#AI/ML#Platform Engineering#Cloud#GCP#TensorFlow#Deep Learning#Python

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, 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 September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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