About the Role :
We are hiring a Machine Learning Engineer with strong expertise in Generative AI, Amazon Bedrock, Amazon Kendra, and LangChain. You will work on cutting-edge AI solutions, build scalable ML pipelines, and contribute to next-gen product innovation.
Key Responsibilities :
- Build and deploy Generative AI models for text, image, and audio generation.
- Implement and customize solutions using Amazon Bedrock for rapid model development and monitoring.
- Integrate Amazon Kendra to enable enterprise-grade intelligent search capabilities.
- Develop and deploy LangChain-based pipelines for secure and scalable language processing.
- Collaborate with product, engineering, and data teams to define requirements and evaluate model performance.
- Optimize ML workflows for performance, scalability, and cost across AWS / Azure / GCP.
- Stay updated with the latest ML advancements and drive adoption of new technologies.
- Mentor junior engineers and participate in code reviews and best-practice development.
Required Skills :
Strong background in Machine Learning, Deep Learning, and Generative AI frameworks.Hands-on experience with Bedrock, Kendra, and LangChain.Proficiency in Python, ML libraries (TensorFlow / PyTorch), and cloud platforms.Experience with vector databases, LLMOps, and scalable model deployment is a plus.Education :
Bachelor's or Master's in Computer Science, AI / ML, Data Science, or related field.
Why Join Us?
Opportunity to work with next-gen AI technologies(ref : hirist.tech)