MLOps Engineer

This is a remote position.

• Design, build, and maintain scalable ML pipelines for training, testing, and deploying models.
  
• Implement CI/CD workflows for ML models and integrate them with existing infrastructure.
  
• Develop and maintain monitoring, logging, and alerting systems for ML models in production.
  
• Ensure reproducibility, versioning, and governance of ML models and datasets.
  
• Optimize model serving infrastructure to improve latency, scalability, and cost-efficiency.
  
• Automate feature engineering, model retraining, and performance evaluation workflows.
  
• Ensure security, compliance, and best practices in handling ML artifacts and sensitive data.
  
• Work with Kubernetes, Docker, and cloud services (AWS, GCP, or Azure) for scalable model deployment.
  

What you’ll need

• 3+ years of experience in a similar role.
  
• Bachelor’s degree in software engineering or any IT-related field.
  
• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-Learn.
  
• Experience with ML model deployment using Kubernetes, Docker, or serverless architectures.
  
• Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, or ArgoCD.
  
• Familiarity with data versioning and model tracking tools like MLflow, DVC, or Kubeflow.
  
• Experience in cloud-based ML solutions (AWS SageMaker, GCP Vertex AI, or Azure ML).
  
• Knowledge of observability tools such as Prometheus, Grafana, and ELK stack.
  
• Understanding of infrastructure as code (Terraform, CloudFormation) and configuration management (Ansible, Helm).
  
• Excellent problem-solving and communication skills.
  
• Awareness or knowledge of IT security best practices as defined by ISO / SOC or similar
  

Why Aspire
In addition to a competitive long-term total compensation with salary and performance-based bonus, we have a reward philosophy that expands beyond this. 

• Be part of a (Remote is here-to stay) organization 
  
• Work and learn from great minds 
  
• Explore new opportunities to learn and grow everyday by attending technical and nontechnical training 
  
• Get market exposure by working with international tech leaders 
  
• Nursery reimbursement benefit 
  
• Attend virtual and onsite international tech conference
  
• Exposure to work in an IT environment that adheres to rigorous security and compliance standards defined by ISO/SOC.