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Machine Learning Operations Engineer (V)

remote,Remote Latam
Software Development
Machine Learning
AWS
Python
Java
DevOps

Description

Do you want to earn a salary in USD? 
Would you like to work from wherever you want?
Would you like to be a part of the leading next-gen software developers? 

Hi, you finally found us! 

Why work at Blue Coding? 

At Blue Coding we specialize in hiring excellent developers and amazing people from all over Latin America and other parts of the world. For the past 10 years, we’ve helped cutting-edge companies in the United States and Canada -both large and small, build great development teams and develop great products. Online shops, digital agencies, SaaS providers, and software consulting firms are a few of our clients. Our team of over 100 engineers is distributed in more than 10 countries across the Americas. We are a fully remote company working with a wide array of technologies and have expertise in every stage of the software development process.  

Our team is highly connected, united, and culturally diverse, and our collaborators are involved in many initiatives around the world, from wildlife preservation to volunteering at local charities. We also participate in group activities like movie nights, trivia, and meme competitions. We stand for honesty, fairness, respect, efficiency, hard work, and cooperation.

What are we looking for?

In this opportunity, we are looking for an experienced Machine Learning Operations Engineer to work with one of our US clients, a corporation that, through its subsidiaries, provides life insurance protection targeted to the middle American market. The ideal candidate will join our dynamic team and help us build and maintain robust machine-learning pipelines. This role requires a strong knowledge of AWS and the skills to migrate, integrate, and optimize those systems.

If you are independent, a great communicator, with great attention to detail, and a problem solver this is a great fit for you! Our jobs are fully remote and flexible - as long as you have the skills and can get the work done well, you can work anywhere in the listed countries (and anytime) you want.

What are we looking for?

In this opportunity, we are looking for an experienced Machine Learning Operations Engineer to work with one of our US clients, a corporation that, through its subsidiaries, provides life insurance protection targeted to the middle American market. The ideal candidate will join our dynamic team and help us build and maintain robust machine-learning pipelines. This role requires a strong knowledge of AWS and the skills to migrate, integrate, and optimize those systems.

If you are independent, a great communicator, with great attention to detail, and a problem solver this is a great fit for you! Our jobs are fully remote and flexible - as long as you have the skills and can get the work done well, you can work anywhere in the listed countries (and anytime) you want.

Here are some of the exciting day-to-day challenges you will face in this role:

  • Collaborate with data scientists, ML engineers, and data engineers to design and implement scalable and reliable 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 to ensure seamless integration and deployment.
  • Monitor and optimize the performance of deployed models, ensuring they meet business requirements and performance standards.
  • Implement best practices for version control, reproducibility, and documentation of ML experiments.
  • Troubleshoot and resolve issues related to ML model deployment and performance.
  • Stay current with the latest advancements in ML Ops tools and technologies.

  • You will shine if you have:

  • A 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 (e.g., 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, with the ability to collaborate effectively across different departments.
  • 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 and handle multiple tasks simultaneously.
  • Strong sense of personal responsibility and accountability, delivering excellent work both at a team level and individual level 

  • What we offer:

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

  • Hey, you are still here! 

    So, let us ask a few questions. Do you like working in a friendly environment? Are you fluent in English? Do you have a strong work ethic, are detail-oriented and have an ownership mentality? And most importantly do you love music and puppies? If so, then what are you waiting for? Come join our team and become part of this awesome company! We will be expecting you.
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