Description

You will design and build end-to-end ML pipelines, covering model training, deployment, and monitoring.

Responsibilities

• Design and build end-to-end ML pipelines including training, deployment, and monitoring.
• Develop scalable ML solutions using supervised, unsupervised, and deep learning techniques.
• Optimize models using TensorFlow, PyTorch, and Scikit-learn.
• Implement MLOps practices with MLflow and Kubeflow for CI/CD and model management.
• Collaborate with data scientists and engineers to integrate ML systems into production.
• Create prototypes to validate new ideas and document system designs.
• Mentor junior team members and promote knowledge sharing.

Required Skills

• 6+ years of overall experience with at least 5 years in relevant ML roles.
• Proficiency in Python.
• Expertise in TensorFlow and PyTorch.
• Experience with Scikit-learn and statistical modelling.
• Hands-on experience with MLflow.
• Experience with CI/CD for ML systems.
• Proficiency with Docker and Kubernetes.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• B-Tech degree.

Key Skills

Education

B-Tech