Senior Machine Learning Engineer with Warehouse and logistics systems
Location – Atlanta, GA or Remote
- Look for Senior profiles (8+ years)
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.
Job Type: Full-time
Pay: $45.00 - $50.00 per hour
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
Experience level:
Schedule:
Experience:
- Python: 8 years (Preferred)
- Machine learning: 8 years (Preferred)
- Google Cloud Platform: 8 years (Preferred)
- Warehouse: 8 years (Preferred)
- Logistics: 8 years (Preferred)
Work Location: Remote