Experience:

• Minimum 5 years of experience in machine learning engineering and AI development
• Hands-on experience in developing and deploying generative AI applications
• Experience in MLOps and ML model deployment pipelines
• Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc.

Role Focus:

• 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

More skills:

machine learning algorithms, natural language processing (NLP), cloud platforms (AWS, GCP, Azure)

Other:

• Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation
• Understanding of software engineering best practices and applying them to ML systems
• Experience with data processing, feature engineering, and model training on large datasets