| Machine Learning Engineer with Warehouse and logistics systems at Atlanta, Georgia, USA |
| Email: [email protected] |
| From: Mounika, Intelligenz [email protected] Reply to: [email protected] Senior Machine Learning Engineer with Warehouse and logistics systems Location Atlanta, GA or Remote Duration - 6-12+ Months Visa-NO H1b Look for Senior profiles (8+ years)Need genuine profile WMS Logistics Core Job Responsibilities: Develop end-to-end ML pipelines encompassing the ML lifecycle from data ingestion, data transformation, model training, model validation, model serving, and model evaluation over time. Collaborate closely with AI scientists to accelerate productionization of ML algorithms. Setup CI/CD/CT pipelines, model repository for ML algorithms Deploy models as a service both on-cloud and on-prem. Learn and apply new tools, technologies, and industry best practices. Key Qualifications MS in Computer Science, Software Engineering, or equivalent field Experience with Cloud Platforms, especially GCP and related skills: Docker, Kubernetes, edge computing Familiarity with task orchestration tools such as MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, etc. Fluency in at least one general purpose programming language. Python - Required Strong skills in the following: Linux/Unix environment, testing, troubleshooting, automation, Git, dependency management, and build tools (GCP Cloud Build, Jenkins, Gitlab CI/CD, Github Actions, etc.). Data engineering skills are a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc. 5+ years of experience, including academic experience, in any of the above. Keywords: continuous integration continuous deployment artificial intelligence machine learning microsoft Connecticut Georgia Machine Learning Engineer with Warehouse and logistics systems [email protected] |
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| Mon Jun 24 21:04:00 UTC 2024 |