ML & MLOPs Engineer

We are looking for an experienced ML Engineer (MLOps) to build and manage scalable ML platforms, production ML pipelines, and AI-driven solutions.

Key Skills:

• Strong Python, MLflow, Kubeflow, Airflow, and CI/CD (GitLab/Jenkins).
• Hands-on Docker, Kubernetes, Helm, and cloud-native solutions (AWS S3/ECS).
• Experience with Spark/PySpark, REST APIs, FastAPI/Flask, and SQL/NoSQL databases.
• Knowledge of LLMs, RAG, vector databases, and model monitoring.
• Strong Linux, Git, automation, and DevSecOps knowledge.
• Experience in customer communication, team leadership, and managing multiple projects.

Preferred: NVIDIA GPU, Kafka/RabbitMQ, Feast, OpenShift, Trivy, and SonarQube.

Ideal Candidate: Technically strong professional with excellent communication, problem-solving, and leadership skills, committed to quality delivery and customer satisfaction.