Machine Learning Operations Engineer (V)

Specializes in hiring developers from Latin America, helping US and Canadian companies build development teams and products for over 10 years.
Machine Learning
Senior Software Engineer
Remote
101 - 500 Employees
5+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Operations Engineer (V)

Blue Coding, a company with over 10 years of experience, is seeking a Machine Learning Operations Engineer to join their diverse team of 100+ engineers spread across the Americas. The role involves working with a US-based life insurance corporation, focusing on building and maintaining robust machine-learning pipelines.

The position requires expertise in AWS and strong capabilities in migrating, integrating, and optimizing ML systems. The ideal candidate will work alongside data scientists and ML engineers to design and implement scalable solutions. Key responsibilities include automating the ML lifecycle, developing CI/CD pipelines, and ensuring optimal model performance.

This is an excellent opportunity for someone who combines technical expertise with strong communication skills. The role demands proficiency in various technologies including Python, Java, Scala, or Go, along with experience in ML frameworks and big data technologies. The position offers the flexibility of remote work, with the freedom to work from anywhere in Latin America while earning in USD.

Blue Coding provides a culturally diverse and connected environment, where team members participate in various initiatives from wildlife preservation to local charities. The company culture emphasizes work-life balance with engaging activities like movie nights and trivia competitions, while maintaining core values of honesty, fairness, respect, and efficiency.

The role is perfect for a self-motivated individual who can work independently while collaborating effectively with team members across different time zones. If you're passionate about machine learning operations, have strong technical skills, and want to be part of a growing, dynamic team, this position offers an excellent opportunity to advance your career while working with cutting-edge technologies in a flexible, remote environment.

Last updated 3 hours ago

Responsibilities For Machine Learning Operations Engineer (V)

  • Collaborate with data scientists, ML engineers, and data engineers to design and implement scalable ML pipelines
  • Automate the end-to-end ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring
  • Develop and maintain CI/CD pipelines for ML models
  • Monitor and optimize the performance of deployed models
  • Implement best practices for version control, reproducibility, and documentation
  • Troubleshoot and resolve issues related to ML model deployment and performance
  • Stay current with the latest advancements in ML Ops tools and technologies

Requirements For Machine Learning Operations Engineer (V)

Python
Java
Go
Scala
  • Bachelor's degree in computer science, information systems, related field, or equivalent work experience
  • Proven experience in ML Ops, DevOps, or related roles
  • Experience with big data technologies such as Hadoop and Spark
  • Experience with ML frameworks (TensorFlow, xgboost, sklearn) and ML Ops tools
  • Familiarity with AWS and containerization technologies
  • Strong programming skills in Python, Java, Scala, or Go
  • Excellent problem-solving skills and attention to detail
  • Excellent communication and interpersonal skills
  • Experience working with Atlassian Jira, Confluence, and Bitbucket
  • Self-motivated and able to work independently and in a team environment
  • Flexibility to adapt to changing priorities
  • Strong sense of personal responsibility and accountability

Benefits For Machine Learning Operations Engineer (V)

  • Salary in USD
  • Flexible schedule (within US Time zones)
  • 100% Remote work

Interested in this job?

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