Engineering Tech Lead - Data Science - Remote

Overview

We are seeking a highly skilled and motivated Engineering Tech Lead to join our Data Science Engineering team at Shield, a global startup focused on developing and implementing advanced machine learning models and solutions.

In Short

• Lead the development and maintenance of software infrastructure for machine learning models.
• Collaborate with data scientists and engineers to deliver production-ready solutions.
• Design and implement software architecture for machine learning.
• Work with containerized environments such as Kubernetes and Docker.
• Utilize AWS for cloud-based solutions.
• Conduct unit testing and ensure CI/CD practices are followed.
• Stay updated with advancements in software development and machine learning.
• Guide technical solutions and contribute to architectural decisions.
• Strong problem-solving skills and ability to analyze operations.
• Self-motivated team player with excellent communication skills.

Requirements

• 5+ years of Python programming experience.
• Experience in software architecture design.
• Background in Linux and containerized environments.
• Experience with AWS.
• Familiarity with tools like ElasticSearch, RabbitMQ, Kafka, and Redis.
• Experience with unit testing and CI/CD.
• Advantageous experience working in a production environment.
• Strong organizational skills.
• Action and results-oriented mindset.

Benefits

• Be part of a dynamic and innovative team.
• Opportunity to work on cutting-edge technology.
• Engaging and fun work environment.
• Career growth opportunities.
• Collaborative work with talented professionals.