Job Summary

We are seeking an experienced MLOps GenAI Engineer with strong expertise in building and deploying production-grade ML pipelines, cloud-native solutions, and MLOps frameworks. The role requires a deep understanding of the ML lifecycle, CICD automation, containerization, and orchestration to deliver scalable, secure, and high-performing AIML solutions in enterprise environments.

Accountabilities

- Design, build, and deploy production-grade ML pipelines using modern frameworks and MLOps tools.

- Develop and manage CICD pipelines for ML model deployment and monitoring.

- Implement containerization (Docker) and orchestration (Kubernetes) for scalable model serving.

- Collaborate with data scientists, data engineers, and architects to productionize ML models.

- Ensure compliance with best practices for cloud-based ML deployments across AWS, Azure, or GCP.

- Integrate third-party services and APIs for enhanced solution capabilities.

- Contribute to architecture design while driving low-level implementation.

- Work closely with cross-functional teams across geographies to deliver end-to-end AIML solutions.

Essential Skills and Experience





- Hands-on experience in Generative AI and MLOps.

- Solid proficiency in Python and ML frameworks such as TensorFlow, Keras, or PyTorch.

- Experience with MLOps tools: MLFlow, Kubeflow, Weights Biases, AWS SageMaker, Vertex AI, DVC, Airflow, Prefect.

- Proven experience in CICD pipelines, version control systems (Git), and deployment automation (Jenkins, Cloud Build, etc.).

- Strong knowledge of cloud platforms: AWS, GCP, Azure.

- Proficiency in containerization (Docker), Kubernetes, and Kafka.

- Strong background in statistical modeling, machine learning, and unstructured data analytics.

- Deep understanding of ML lifecycle and hands-on experience in productionizing ML models.

- Experience in data engineering pipelines.

Desirable Skills and Experience

- Exposure to third-party integrations for AIML systems.

- Experience in architecture evolution for large-scale AIML solutions.

- Ability to work both independently and collaboratively in distributed teams.

- Strong problem-solving, stakeholder management, and technical communication skills.

📌 AI/ML Engineer (Saidapet)
🏢 Agilisium
📍 Saidapet