AI / MLOps Engineer
Posted
Description
We are looking for an experienced AI / MLOps Engineer to help design, deploy and operate production-grade AI platforms and machine learning solutions.
If you are passionate about Machine Learning, Cloud technologies, automation, and modern AI operations, we'd love to hear from you.
Required Skills
- 3+ years of experience in AI/ML Engineering, MLOps, Machine Learning Engineering, or related roles
- Strong Python programming skills
- Experience deploying ML models into production environments
- Hands-on experience with Azure, AWS, or GCP
- Solid knowledge of Docker, Kubernetes, and CI/CD practices
- Experience with monitoring and observability tools
- Understanding of software engineering best practices and infrastructure automation
- Experience working in Agile environments
Technologies We Use
- Python
- TensorFlow
- PyTorch
- Scikit-Learn
- MLflow
- Kubeflow
- Apache Airflow
- Docker
- Kubernetes
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
- Apache Spark
- Apache Kafka
- Terraform
- Prometheus
- Grafana
Nice to Have
- Experience with Generative AI (GenAI), Large Language Models (LLMs), or Agentic AI solutions
- AI, Machine Learning, Cloud, or Kubernetes certifications
- Experience working in large-scale enterprise environments
- Knowledge of Responsible AI, MLOps governance, and model lifecycle management