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ML Ops Engineer
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ML Ops Engineer
Neudesic Technologies Private LimitedThis job is no longer accepting applications
Job Description
- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.
- Machine Learning Consultant with ML Ops Skill and 2-3 minimum production level implementation on their portfoli
- Azure ML experience preferred
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Ability to work collaboratively in cross-functional teams
- 5+ years of experience
- Be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more.
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Key Skills
About Company
Passion for technology drives us, but it’s innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks, and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.
What sets us apart from the rest is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you.
Skills:
Prometheus, Grafana, Sql, Azure ML, Terraform, Databricks, Kubernetes, Python, Azure DevOps, MLflow, GitHub Actions, Bicep, Azure Monitor
Skills:
Unix, Gcp, Linux, Pyspark, Spark, Azure, Python, AWS, MLops, CI CD pipeline, Model deployment