DevOps/MLops Engineer (AI/ML Focus)
Application
WHAT WE’RE UP TO
WE ARE A LEAN, TENACIOUS MACHINE POWERED BY 85 OF THE SHARPEST, MOST PASSIONATE PEOPLE WE COULD FIND.
Simelabs is a product-driven venture-development firm that works with a range of startups and big brands to create compelling, successful, award-winning application. We help people perfect and realise their visions for digital products. While others may just churn out what a client asks for, we strive to truly understand the problems our clients are aiming to solve and will stop at nothing to build solid products that we’re proud of.
Roles and Responsibilities
- Design, implement, and manage scalable, secure, and reliable cloud infrastructure on AWS (EC2, ECS, Lambda, S3, IAM, VPC, IoT Core, CloudFront, RDS, etc.).
- Design, implement, and manage scalable, secure, and robust DevOps pipelines (CI/CD) for AI/ML and data-driven applications
- Design and maintain CI/CD pipelines using GitHub Actions, Azure Pipelines, and Jenkins to automate build, test, and deployment processes.
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
- Strong programming skills in Python and scripting with Bash/Shell.
- Set up and manage MLOps platforms like SageMaker pipelines.
- Manage cloud infrastructure (AWS, Azure, GCP)(Preferred AWS) and optimize for cost, scalability, and security.
- Implement monitoring, logging, and alerting solutions using tools like Prometheus, Grafana, ELK Stack, etc.
- Exposure to IoT-based cloud solutions (AWS IoT Core) is a plus
The Ideal Candidate
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3–5 years of experience in DevOps/SRE roles with production-grade systems.
- Strong hands-on experience with Docker, Kubernetes, and container orchestration.
- Expertise in setting up CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.).
- Good understanding of AI/ML workflows and experience deploying machine learning models into production.
- Experience with one or more MLOps tools (MLflow, Kubeflow, TFX, or similar).
- Solid cloud experience (AWS, GCP, or Azure), including serverless architecture and managed services.
- Proficiency with scripting languages (Python, Bash) and automation tools.
- Understanding of data privacy, governance, and security standards.
Got what it takes?
Want to join the team? Submit your application—
we respond to most inquiries within three business days.
Perks and Benefits
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12 Paid Company Holidays
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6 Paid Sick Leave
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Group Health Plan insurance Employee, Spouse and dependent
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Performance Bonus
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Flexible time
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Work Life Balance