About The Position
We are seeking an experienced Machine Learning Architect to design and implement advanced ML solutions that solve complex business challenges. He/She will lead the development of scalable ML pipelines, leverage cutting-edge tools and frameworks, and ensure seamless deployment and integration in production environments.
Must Have Skills
- 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.
Roles and 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.