AI/ML Engineer

1 week ago

Saidapet, Tamil Nadu, India Agilisium Full time US$ 1,04,000 - US$ 1,30,878 per year
Job Information

Date Opened

09/08/2025

City

Saidapet

Country

India

Job Role

Advanced Analytics

State/Province

Tamil Nadu

Industry

IT Services

Job Type

Full time

Zip/Postal Code

600096

Job Description

Introduction to the Role

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, CI/CD automation, containerization, and orchestration to deliver scalable, secure, and high-performing AI/ML solutions in enterprise environments.

Accountabilities

  • Design, build, and deploy production-grade ML pipelines using modern frameworks and MLOps tools.
  • Develop and manage CI/CD 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 AI/ML solutions.

Essential Skills / Experience

  • Hands-on experience in Generative AI and MLOps.
  • Strong 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 CI/CD 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 / Experience

  • Exposure to third-party integrations for AI/ML systems.
  • Experience in architecture evolution for large-scale AI/ML solutions.
  • Ability to work both independently and collaboratively in distributed teams.
  • Strong problem-solving, stakeholder management, and technical communication skills.

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