Strong Analytics is hiring a
Machine Learning Engineer, Remote - Argentina
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Summary
Strong Analytics is seeking Machine Learning Engineers to design and develop machine learning applications for a variety of industries. As an ML Engineer, you will collaborate with ML scientists, build and manage application pipelines, embed statistical algorithms in cloud-based applications, and identify areas of improvement within projects.
Requirements
- Minimum 2 years of industry experience writing and deploying Python-based applications
- Very strong proficiency in Python
- Experience in packaging custom Python applications
- Proficient in developing RESTful and gRPC APIs
- Experience using FastAPI
- Experience with PySpark
- Containerization proficiency in containerizing applications using Docker and deploying on Kubernetes or cloud-based container services platforms (e.g., ECS)
- Experience defining and deploying infrastructure-as-code with Terraform
- Hands-on experience with AWS services including EKS, ECS, EMR, Batch, Glue, Lambda, and SQS
- Strong knowledge of SQL
- Experience integrating with ML models (locally or externally hosted)
Responsibilities
- Work with machine learning scientists and other engineers to develop custom ML solutions for a variety of industries and use cases
- Build machine learning pipelines from ideation up through prototyping, development, and deployment
- Build data pipelines which can ingest, transform, and export data
- Embed statistical algorithms and machine learning models in cloud-based applications
- Help identify areas of opportunity and improvement within projects
- Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)
Benefits
- Competitive salary
- 100%-covered Health insurance for employees, 75%-covered dependents
- Four weeks PTO
- 401(k) with employer contribution matching
- Personalized monthly perks with matched charitable donations
- A 100% remote work environment with highly protected work/life balance
This job is filled or no longer available
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