Strong Analytics is hiring a
Machine Learning Engineer, Remote - Argentina

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