Remote MLOps Consultant

This is a remote position.

Are you an MLOps expert with a strong background in designing, implementing, and automating MLOps workflows? Do you thrive in both hands-on development and leadership roles? Are you eager to upskill DevOps teams while building scalable infrastructures for ML models and AI agents? If so, we’d love to hear from you!

As an MLOps Consultant, you will be responsible for creating and optimizing MLOps workflows, ensuring efficient model publishing, scaling, monitoring, and continuous improvement. Your work will play a key role in streamlining AI development and deployment processes.

This is a full-time, home-based position, offering you the chance to work with a talented team of professionals from around the globe.

Key Responsibilities: 

• Design and implement automated, scalable, and reproducible MLOps pipelines. 

  
• Collaborate with data scientists, machine learning engineers, and DevOps teams to align ML models with production systems. 

  
• Develop and deploy CI/CD pipelines specifically tailored for machine learning models and AI agents. 

  
• Design infrastructure to support AI agent workflows, including data ingestion, model orchestration, and multi-agent systems. 

  
• Establish robust monitoring, logging, and alerting mechanisms for deployed models. 

  
• Guide and train the DevOps team on MLOps frameworks, best practices, and tooling. 

  
• Introduce and manage version control for data, models, and pipelines. 

  
• Ensure compliance with security and governance requirements throughout the AI/ML lifecycle. 

  
• Document processes and workflows to support knowledge transfer and long-term sustainability. 

  

 
Required Qualifications: 

• 2+ years of proven experience in MLOps, including model deployment, monitoring, and automation. 

  
• Strong background in DevOps practices and tools (e.g., Docker, Kubernetes, Terraform, CI/CD). 

  
• Knowledge of CI/CD tools like Jenkins, GitLab CI/CD. 

  
• Proficiency in machine learning lifecycle management tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). 

  
• Solid programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). 

  
• Experience with the main cloud platforms, particularly with AWS 

  
• Familiarity with data pipeline tools and frameworks, such as Apache Airflow or Kubeflow. 

  
• Excellent communication skills to effectively mentor and collaborate with technical teams. 

  
• Ability to assess, architect, and implement MLOps solutions tailored to business needs. 

  
  

The Secret Ingredients That Make Us Special: 

• Your growth is our growth. We invest in your future with paid training and other professional opportunities.
  
• We’re industry innovators at the forefront of change. Equipped with the latest technologies and a team of knowledgeable colleagues by your side, you’ll embrace new and interesting challenges.
  
• Your location. Your schedule. Pick your time zone, choose your preferred hours, and work from the place where you feel most at home.
  
• Flexibility and freedom are in our DNA! As long as you have a stable internet connection and the drive to thrive, you can travel and work from anywhere you like.
  
• A workload you can rely on. We’ll set you enough tasks to keep that mind busy! At Scopic, we’ll ensure you always have a consistent flow of engaging, challenging work to do.
  
• Recognition and reward. We acknowledge diligence and hard work through annual pay increases for good performance. 

Down to Business! 

• Your starting rate is negotiable depending on your skills and experience.
  
• This is an hourly paid position.
  
• Contractors are paid monthly via wire transfer. 

Our Values: 

Scopic is an equal-opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, marital status, national origin, gender, veteran status, sexual orientation, age, or disability status.
Have the skills, the drive, and the passion to join the Scopic family? 

Apply today to join our growing team of remote professionals from around the world. 

Terms of Application 

By submitting an application: 

• I consent that the data provided in this form, and the attached CV, will be used for Scopic's recruiting purposes and email communications.
  
• I consent to Scopic conducting an identity verification process as part of the hiring process. I understand that my personal information may be collected and processed for the purpose of verifying my identity in compliance with applicable laws.
  
• Attention Job Seekers: Please be aware that scammers may be fraudulently using our company's name in hiring scams. To ensure your safety, all legitimate communication regarding job opportunities from our company will only come from email addresses ending with @scopicsoftware.com. Please exercise caution and report any suspicious activity to our official channels.