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

Job Description

TalenMo Limited is a professional recruitment and talent solutions company focused on sourcing, screening, and placing top talent across multiple MSME industries. The company is currently seeking an experienced Senior Machine Learning (ML) Ops professional to support international AI projects by managing machine learning infrastructure, deployment pipelines, and production environments.

Location: Remote
Employment Type: Contract
Job Type: Freelance
Duration: Long-Term (6–12+ Months)

Job Responsibilities

• Design, implement, and maintain scalable machine learning infrastructure and deployment pipelines.
• Manage the complete machine learning lifecycle, including model training, testing, deployment, monitoring, and optimization.
• Collaborate with AI Engineers, Data Scientists, and DevOps teams to integrate ML models into production systems.
• Automate machine learning workflows and CI/CD pipelines to improve operational efficiency and reliability.
• Monitor infrastructure performance, model accuracy, and system health across different environments.
• Optimize cloud infrastructure for scalability, security, and cost-effectiveness.
• Implement best practices for version control, model governance, and reproducibility.
• Troubleshoot and resolve infrastructure, deployment, and performance-related issues.
• Ensure compliance with security standards, data protection policies, and operational requirements.
• Stay updated on emerging ML Ops technologies, tools, and industry trends.
• Provide technical guidance and mentorship to junior team members when required.

Requirements

• Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum of 6 years experience in Machine Learning Operations, DevOps, or related technical roles.
• Strong understanding of ML deployment pipelines, cloud infrastructure, and automation tools.
• Experience with CI/CD processes, model monitoring, and infrastructure optimization.
• Ability to work independently in a remote and fast-paced project environment.
• Strong problem-solving, collaboration, and communication skills.

Application Closing Date
8th June, 2026.

How to Apply
Interested and qualified candidates should send their CV using “Senior Machine Learning (ML) Ops Role” as the subject of the email.