Description

You will lead the end-to-end design, development, and deployment of machine learning models and platforms.

Responsibilities

• Execute creative security solutions, designing, developing, and troubleshooting complex technical problems.
• Develop and maintain scalable cloud-native applications on AWS, Azure, or Google Cloud platforms.
• Build robust APIs for integrating machine learning models and backend systems organization-wide.
• Collaborate with cross-functional teams on model experimentation and solution integration to meet business objectives.
• Implement cybersecurity controls to safeguard AI workflows and ensure compliance with security standards.

Required Skills

• 5+ years applied experience with strong background in data science and AI.
• Advanced proficiency in Python, Machine Learning, and Cloud Computing.
• Hands-on experience with TensorFlow and PyTorch.
• Expertise in Cybersecurity principles and secure coding practices.
• Experience managing containerized environments using Docker and Kubernetes.
• Proficiency with AWS, alongside experience with Azure or Google Cloud.
• Familiarity with core ML concepts: deep learning, NLP, GenAI, and RAG concepts.
• Experience with model validation and data privacy implementation.

Preferred Skills

• Experience with LLM fine-tuning, prompt engineering, or multi-modal AI integration.
• Familiarity with CI/CD pipelines and automation tools.

Key Skills

Education

Any Graduate