ML / ML Ops Engineer Hucon Solutions India Pvt.Ltd.

About Hucon Solutions India Pvt.Ltd.

Job Description

Job Title: ML / MLOps Engineer

Experience Required: 4 -10 Years
Job Locations: Kolkata | Chennai | Hyderabad | Pune
Employment Type: Full-Time | Permanent

Job Description:

We are looking for a highly capable and motivated ML/MLOps Engineer to operationalize, scale, and automate machine learning workflows. The ideal candidate will play a key role in bridging the gap between data science and engineering, ensuring smooth deployment, monitoring, and management of ML models in production.

Key Responsibilities:

• Collaborate with data scientists to design, build, and deploy scalable machine learning pipelines

• Develop and maintain robust MLOps workflows using tools like MLflow, Kubeflow, or similar

• Automate the CI/CD process for ML models and data pipelines

• Monitor and maintain model performance, retraining, and rollback mechanisms

• Optimize ML models for production, including feature engineering and data preprocessing

• Ensure security, versioning, and reproducibility of ML experiments

• Work on cloud platforms (AWS/GCP/Azure) for scalable deployment

• Troubleshoot production issues and improve ML platform reliability and scalability

Key Skills Required:

• Strong knowledge of machine learning concepts and model lifecycle management

• Hands-on experience with Python, TensorFlow, PyTorch, or Scikit-learn

• Experience with MLOps tools like MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML

• Solid experience with Docker, Kubernetes, and container orchestration for ML deployment

• Proficiency in cloud platforms (AWS, GCP, or Azure)

• Familiarity with CI/CD pipelines, Git, Jenkins, or similar tools

• Knowledge of monitoring tools for tracking performance and logs

Preferred Qualifications:

• Bachelor's or Masters degree in Computer Science, Data Science, or related fields

• Experience working in Agile teams and large-scale production environments

• Exposure to data versioning tools like DVC is a plus