Senior Machine Learning (ML) Ops at TalenMo Limited – Remote | Remote

Tech
Worldwide
May 8, 2026
Full Time
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Job Overview

  • Date Posted
    May 8, 2026
  • Country
    Worldwide
  • Expiration date
    --

Job Description

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TalenMo Limited is seeking a highly skilled and experienced Senior Machine Learning (ML) Operations Engineer to join our dynamic, remote team. In this pivotal role, you will be instrumental in building, deploying, and maintaining robust ML pipelines, ensuring the scalability, reliability, and efficiency of our machine learning solutions. If you are passionate about operationalizing ML models and thrive in a collaborative, remote environment, we encourage you to apply.

Job Overview

The Senior ML Ops Engineer will lead the charge in establishing and optimizing our machine learning infrastructure. You will work closely with data scientists and software engineers to streamline the end-to-end ML lifecycle, from experimentation and development to deployment and ongoing monitoring. This role requires a strong understanding of MLOps best practices, cloud technologies, and a proactive approach to problem-solving.

Key Responsibilities

  • Design, build, and maintain scalable and reliable ML production systems.
  • Implement CI/CD pipelines for ML models.
  • Develop and manage monitoring and alerting systems for ML model performance.
  • Automate model retraining and deployment processes.
  • Collaborate with Data Scientists to optimize models for production.
  • Ensure the security and compliance of ML deployments.

    • Requirements

  • Bachelor’s Degree in Computer Science, Engineering, or a related field.
  • Minimum of 6 years of professional experience in Machine Learning Operations or a related role.
  • Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Strong understanding of containerization (Docker, Kubernetes).
  • Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker).

    • What We Offer

  • Competitive compensation package.
  • Opportunity to work on cutting-edge ML projects.
  • Fully remote work environment.
  • Continuous learning and professional development opportunities.
  • Collaborative and supportive team culture.

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