Machine Learning Operations Engineer at Blue Coding

You have finally found the right place to take your career to the next level. At Blue Coding, we have spent the last decade connecting top-tier talent with innovative companies across the United States and Canada. With a distributed team of over 100 engineers spanning more than 10 countries, we pride ourselves on being a fully remote, culturally diverse community that values honesty, efficiency, and collaboration. Whether we are building products for SaaS providers or digital agencies, we focus on excellence while making time for team movie nights and trivia. If you are ready to join a group that balances high-impact work with a supportive, global culture, we want to hear from you.

Role at a glance

We are seeking a Senior Machine Learning Operations Engineer to join our team on a full-time basis. This is a remote position available to candidates anywhere. You will be working directly with a U.S. client in the life insurance sector, focusing on building and maintaining high-performance machine learning pipelines within an AWS environment.

Your impact

• Design and implement scalable, reliable ML pipelines by working closely with data scientists and engineers.
• Automate the entire lifecycle of machine learning, from initial data ingestion and model training to deployment and continuous monitoring.
• Build and manage robust CI/CD pipelines to ensure that model integration and deployment processes remain seamless and efficient.

What you'll need

• Proven professional experience in ML Ops or DevOps environments.
• Strong technical proficiency in Python, along with experience using TensorFlow and big data tools like Spark.
• Deep familiarity with AWS infrastructure and containerization technologies.
• A bachelor’s degree in computer science or a related field, or equivalent practical experience.
• Excellent communication skills in English and the ability to thrive in an independent, remote work setting.
• A detail-oriented mindset with a strong sense of ownership and accountability.

Perks and compensation

• Competitive salary paid in USD.
• 100% remote work environment.
• Flexible hours to help you manage your work-life balance effectively.