Job Description :
We are seeking an experienced Python + ML Ops Engineer with strong hands-on expertise in developing, deploying, and managing machine learning solutions in production environments. The ideal candidate should possess solid programming skills, deep knowledge of ML lifecycle automation, and the ability to work across multiple technologies in a collaborative environment.
Key Responsibilities :
- Design, develop, and deploy scalable ML models and pipelines using MLOps frameworks and tools.
- Collaborate with data scientists and software engineers to integrate ML models into production.
- Build automated CI / CD pipelines for ML workflows.
- Manage and monitor model performance, versioning, and retraining pipelines.
- Optimize model performance and ensure reliability in deployment environments.
- Work closely with cross-functional teams to ensure efficient data flow and model operations.
Mandatory Skills :
Programming Languages : Java, Python, GoLangCore Expertise : MLOps, Big DataTools & Technologies : Docker, Kubernetes, CI / CD tools (Jenkins / GitLab), Cloud Platforms (AWS / Azure / GCP), MLflow, TensorFlow, PyTorch, Kafka, Spark, or related tools.Preferred Qualifications :
Strong experience in model lifecycle management and deployment automation.Hands-on experience with data engineering tools and large-scale data processing.Excellent problem-solving, debugging, and analytical skills.Good communication and collaboration abilities.(ref : hirist.tech)