Senior Engineer AI

Responsibilities

• Design, develop and optimize machine learning models for applications across different domains.
• Build natural language processing pipelines for tasks like text generation, summarization, translation, etc.
• Develop and deploy cutting-edge generative AI & Agentic AI applications.
• Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance.
• Integrate machine learning capabilities into existing products or build new AI-powered applications.
• Perform data mining, cleaning, preparation, and augmentation for training robust ML models.
• Collaborate with cross-functional teams to translate AI requirements into technical implementations.
• Ensure model performance, scalability, reliability.
• Continuously research and implement state-of-the-art AI / ML algorithms and techniques.
• Manage the end-to-end ML lifecycle from data processing to production deployment.

Skills Required

Aws, Pytorch, Tensorflow, Python, Azure, Gcp, Machine Learning Algorithms, MLops