Lead Administrator (Support & Operations)

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

I korthet

Machine learning Engineer and automation engineer with 3+ years of experience required. Proficiency in Python, ML frameworks (TensorFlow, PyTorch, scikit-learn), MLOps tools (Kubeflow, Seldon, MLFlow, Docker, Kubernetes), and cloud platforms (GCP).

Ansvarsområden

Develop and deploy end-to-end microservices-based solutions for batch and real-time algorithms, including monitoring, logging, automated testing, and performance testing.
Design, implement, and optimize MLOps pipelines using tools such as Kubeflow, Seldon, MLFlow, Docker, and Kubernetes.
Collaborate with Data Scientists to enhance the ML model development process and ensure performance improvements.
Ensure scalability, maintainability, and robustness of deployed machine learning models.
Monitor and troubleshoot ML model performance and infrastructure issues in production.
Support and enhance ML software infrastructure, including CI/CD, data storage, cloud services, security, and system monitoring.
Work with cloud platforms, particularly GCP and Azure, to optimize resource allocation and costs.

Krav

3+ years of experience as a Machine Learning Engineer or in a similar role.
Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn.
Strong understanding of MLOps best practices and tools, including Kubeflow, Seldon, MLFlow, Docker, and Kubernetes.
Experience working with cloud platforms, especially GCP.
Knowledge of data processing, ETL, and feature engineering techniques.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Experience deploying ML models at scale using serverless or cloud-based solutions.
Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly).
Knowledge of software development best practices (Git, CI/CD, automated testing).

Önskade kvalifikationer

Experience with Prometheus and Grafana is valuable.

Färdigheter

PythonTensorFlowPyTorchscikit-learnKubeflowSeldonMLFlowDockerKubernetesGCPAzurePrometheusGrafanaGitCI/CDMatplotlibSeabornPlotly

#MLOps#machine learning#automation#Python#TensorFlow#PyTorch#scikit-learn#Kubeflow#Seldon#MLFlow#Docker#Kubernetes#GCP#Azure#Prometheus#Grafana#Git#CI/CD#Matplotlib#Seaborn#Plotly

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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