Platform Engineer III

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Data engineering · Datavetenskap

I korthet

Platform Engineer III needed in Gautam Buddha Nagar, Uttar Pradesh, India. The role requires extensive experience in designing and implementing AI/ML models on Google Cloud Platform using tools like TensorFlow and Deep Learning. Responsibilities include developing, deploying, and monitoring models, with a focus on ML Ops and cloud environments.

Ansvarsområden

Design and implement solutions in AI/ML, predictive analytics.
Develop models using Machine Learning and Deep Learning technologies (Keras, TensorFlow, pyTorch, GCP AI/ML services).
Hands-on experience with Python, Spark, and libraries like TensorFlow, Spark ML, scikit-learn, pandas, NumPy.
Perform software engineering in Python, build libraries, and deploy Python codes in production.
Deploy and monitor models on public cloud platforms (AWS/Azure/GCP), with GCP experience being an advantage.
Handle Supervised Learning, Un-supervised learning, and Reinforcement learning problems across various industries.
Transform data science prototypes into robust, scalable production products.
Implement CI/CD principles in the Machine Learning domain (ML Ops).
Work with containers and orchestration tools like Kubernetes.
Utilize Google Cloud Platform services including BigQuery, Cloud Composer, Vertex AI, and AI/ML services.
Apply strong concepts in Statistics, Machine Logs processing, text mining, and text analytics.

Krav

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).
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).
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.

Önskade kvalifikationer

GCP experience is an added advantage.
Strong communication & presentation skills.
Analytical, client-first mindset.
Leadership & stakeholder management.
Ability to work in global, fast-paced environment.

Förmåner

Supercharge your potential at HCLTech.
Find your career at HCLTech.
Find your spark at HCLTech.
A place that knows that helping its customers stay on top starts by putting its people first.

Färdigheter

TensorFlowRecommendation SystemsDeep LearningNumPyPandasSklearnPythonRKerasStatistical AnalysisComputer VisionPySparkSpark MLscikit-learnSparkPython SDKMachine LearningpyTorchGCP AI/ML servicesModel deploymentModel MonitoringAWSAzureGCPSupervised LearningUnsupervised LearningReinforcement LearningCI/CDML OpsKubernetesBigQueryCloud ComposerVertex AIMachine Logs processingtext miningtext analytics

#Platform Engineering#AI#Machine Learning#Deep Learning#Google Cloud Platform#GCP#TensorFlow#Python#Data Science#Cloud#ML Ops#Kubernetes

Om 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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