Machine Learning Architect - PyTorch/Tensorflow

Responsibilities:

- Design and build end-to-end ML pipelines, including model training, deployment, and monitoring.

- Develop scalable ML solutions using supervised, unsupervised, and deep learning techniques.

- Optimize models with tools like TensorFlow, PyTorch, and Scikit-learn.

- Implement MLOps practices with tools like MLflow and Kubeflow for CI/CD and model management.

- Collaborate with data scientists and engineers to integrate ML systems into production.

- Stay updated on the latest ML advancements and drive innovation.

- Create prototypes to validate new ideas and document system designs.

- Mentor junior team members and promote knowledge sharing.

Key Skills and Qualifications :

- Strong expertise in ML algorithms, deep learning frameworks, and statistical modeling.

- Proficiency in Python or similar languages, and experience with TensorFlow, PyTorch, and Scikit-learn.

- Hands-on experience with MLOps tools and cloud platforms (AWS, Azure, GCP).

- Excellent problem-solving and collaboration skills.