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Machine Learning Ops @Foxbox Digital

[Hiring] Machine Learning Ops @Foxbox Digital

Mar 21, 2025 - Foxbox Digital is hiring a remote Machine Learning Ops. 💸 Salary: unspecified. 📍Location: Latin America (LATAM), USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

As an MLOps Engineer at Foxbox Digital, you will play a pivotal role in operationalizing ML models for our client engagements. Your responsibilities will include deploying, monitoring, and retraining models as needed, with a strong focus on CI/CD automation and scalability. You will work closely with data scientists, software engineers, and product teams to deliver AI/ML solutions that meet or exceed client objectives.

  • Design, develop, and implement scalable pipelines for data and model deployment in production environments.
  • Monitor and maintain the performance of deployed models, ensuring they meet specified accuracy and robustness standards.
  • Automate ML Workflow processes for continuous integration and continuous delivery (CI/CD) related to ML models.
  • Collaborate with data scientists to transition models from development to production.
  • Ensure compliance with data privacy regulations and best practices in machine learning operations.
  • Develop tools for monitoring and visualizing model performance and data drift.
  • Conduct regular audits of ML systems to identify improvement opportunities.
  • Train team members on best practices for deploying and maintaining machine learning models.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
  • 3+ years of experience in machine learning operations, model deployment, or related experience.
  • Expertise in programming languages such as Python or R.
  • Familiarity with ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn).
  • Experience in cloud technologies like AWS, Google Cloud, or Azure.
  • Strong skills in version control (e.g. Git) and CI/CD processes.
  • Solid understanding of containerization technologies such as Docker and orchestration systems like Kubernetes.
  • Adept problem-solving skills and the ability to work collaboratively in cross-functional teams.
  • Excellent written and verbal communication skills to convey complex technical concepts clearly.
  • Proactive attitude towards learning and adapting to new technologies.
  • Experience with MLOps or tools such as MLflow, Kubeflow, or Airflow is a plus.
  • Knowledge of data engineering and ETL processes is an advantage.

Benefits

  • Continuous training and growth opportunities.
  • Remote-first environment with a culture of collaboration and innovation.
  • Opportunity to work on a project that directly impacts business success.
  • Part of a multicultural and collaborative team that is constantly growing.
  • Encouragement of risk-taking and innovation.

Company Description

Foxbox creates digital products that become indispensable for your business and your customers. Whether it’s web, mobile, new builds or rebuilds, our experience is deep and our focus is clear: Staples for them. Growth engines for you. From Fortune 500 brands to successful startups, we arm best-in-class businesses with innovative solutions for an increasingly digital world.

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Before You Apply
📍 Be aware of the location restriction for this remote position: Latin America (LATAM), USA
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Machine Learning Ops @Foxbox Digital
Software Development
Salary 💸 unspecified
Remote Location
Latin America (LATAM), USA
Job Type contract
Posted Mar 21, 2025
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📍 Be aware of the location restriction for this remote position: Latin America (LATAM), USA
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