Senior ML Engineer with WMSLogistics
Posted on :
22-06-2024
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Job Description
Contact Details:
Job Title: Senior ML Engineer with WMS/Logistics
Location: Atlanta GA or Remote
Duration: 612 Months
Years of Experience: 8yrs
Notes (Mandatory):WMS Logistics Develop endtoend 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 oncloud and onprem. Learn and apply new tools technologies and industry best practices.
1.Poonam Khandelwal
Email:
Cell: (732)/ Ext.408
2.Sandeep Bisane
Email:
Cell: (732)
3.Debanjan Koley
Email:
Cell: (732)
Job Title: Senior ML Engineer with WMS/Logistics
Location: Atlanta GA or Remote
Duration: 612 Months
Years of Experience: 8yrs
Notes (Mandatory):
Core Job Responsibilities:
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.
Employment Type
Full Time
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