Description

You will lead the design, implementation, and maintenance of an MLOps platform supporting real-time AI and advanced analytics applications.

Responsibilities

• Design and implement a scalable, secure MLOps platform for real-time AI applications.
• Develop automated pipelines for ML model training, validation, deployment, and monitoring.
• Integrate the platform with data lakes, warehouses, and on-premises infrastructure.
• Collaborate with data scientists and IT teams to streamline model deployment.
• Monitor AI model and platform performance to identify and resolve bottlenecks.

Required Skills

• 5+ years of experience in AI engineering or full stack development.
• Proficiency in Python and JavaScript/TypeScript.
• Hands-on experience with TensorFlow, PyTorch, and scikit-learn.
• Strong experience with Docker and Kubernetes.
• Familiarity with Jenkins, GitLab CI, or CircleCI.
• Knowledge of ETL processes and large-scale data integration.
• Experience with SQL and NoSQL databases including MongoDB and Cassandra.
• Experience with on-premises infrastructure deployment.
• Exposure to Apache Kafka and Apache Flink for real-time processing.

Preferred Skills

• Experience with MLflow, Kubeflow, or TensorFlow Extended (TFX).
• Familiarity with Prometheus, Grafana, or the ELK stack.
• Prior experience with SCADA systems or Battery Energy Storage Systems (BESS).

Key Skills

Education

Any Gradute