AI Machine Learning Engineer

--Coimbatore, Tamil Nadu, India--
Customer Relationship
Personal Evolution
Administrative Work
Technical Expertise

Objectives of this role

  • Design, implement, and deploy machine learning models.
  • Collaborate with data scientists to transform prototypes into production-ready systems.
  • Manage and automate the end-to-end machine learning lifecycle.
  • Implement continuous integration and continuous deployment (CI/CD) pipelines specifically tailored for ML workflows.
  • Monitor the performance of deployed models in real-time, handle model drift, and implement retraining strategies.
  • Ensure reproducibility, traceability, and versioning for ML models and datasets.
  • Optimize ML infrastructure for performance, scalability, and cost.
  • Stay updated with the latest trends and tools in machine learning and MLOps


  • Strong programming skills, preferably in Python
  • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch)
  • Experience with data processing tools and libraries (eg, Pandas, Scikit-learn)
  • Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar
  • Experience with containerization technologies like Docker and orchestration tools like Kubernetes
  • Knowledge of ML model versioning and management tools like MLflow or DVC
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their ML deployment services.
  • Strong problem-solving skills and the ability to work in a collaborative team environment.

Required skills and qualifications.

  • Previous experience in a machine learning or data science role
  • Knowledge of advanced monitoring and logging tools tailored for ML models.
  • Certification or training in MLOps, machine learning, or related fields
  • Background in software development or software engineering
  • Familiarity with CRM & ERP systems and their data structures
  • Strong understanding of the latest machine learning trends and techniques

What's great in the job?

  • Great team of smart people, in a friendly and open culture
  • No dumb managers, no stupid tools to use, no rigid working hours
  • No waste of time in enterprise processes, real responsibilities, and autonomy
  • Expand your knowledge of various business industries
  • Create content that will help our users on a daily basis
  • Real responsibilities and challenges in a fast-evolving company