Machine Learning Engineer

Key Skills: AI Artificial intelligence, AI/ML, Fullstack Python, Python, Tensorflow, Pytorch

Roles and Responsibilities:

• Build scalable software solutions using LLMs and ML models for healthcare challenges.
• Develop enterprise-grade AI solutions focusing on privacy, security, and fairness.
• Act as a Generative AI subject matter expert and collaborate with product development teams.
• Design and implement scalable, distributed systems using ML technologies.
• Optimize existing Generative AI models for performance, scalability, and efficiency.
• Develop and maintain AI pipelines (data preprocessing, feature extraction, training, evaluation).
• Create clear documentation (technical specifications, user guides) to explain AI concepts.
• Contribute to organizational best practices and standards for Generative AI development.
• Work with ML frameworks such as TensorFlow and PyTorch.
• Collaborate in a complex, matrixed organization on cross-functional projects.

Skills Required:

• Artificial Intelligence (AI) & Machine Learning (ML)
• Python & Fullstack Python Development
• LLMs (Large Language Models)
• Generative AI Expertise
• TensorFlow & PyTorch Frameworks
• Data Preprocessing & Model Training
• Scalable & Distributed Systems Development
• AI Pipeline Development & Optimization
• Privacy, Security & Fairness in AI Solutions
• Cross-Functional Collaboration

Education: B.E., B.Tech, Dual Degree (B.Tech + M.Tech), BCA, or MCA in any branch