The company is looking to design, develop, and deploy AI/ML Solutions & models using both traditional and generative approaches, build and fine-tune LLMs and GenAI applications, and ensure scalability, reliability, and security of AI systems in production environments.
Requirements
- Strong experience with Generative AI (e.g., LLaMA, Stable Diffusion, LangChain).
- Solid understanding of Traditional AI/ML techniques (e.g., Regression, classification, clustering, NLP, CV).
- Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Hands-on experience with Azure / AWS cloud services (Azure AI Foundry, AI Hub, Open AI Search, Cosmos DB, Azure Functions, Azure ML etc OR AWS Bedrock, BedrockAgent, Lambda, EC2, ECS, Sagemaker etc) or equivalent.
- Experience in developing APIs and integrating NLP or LLM models into software applications.
- Experience with MLOps tools and practices (CI/CD, model monitoring, versioning).
Responsibilities
- Design, develop, and deploy AI/ML Solutions & models using both traditional and generative approaches.
- Build and fine-tune LLMs and GenAI applications (e.g., Understanding context, synthesizing data, Insights, relationships, recommendations, etc..).
- Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs.
- Implement and optimize ML pipelines using Azure / AWS services (Azure Fucntion, Azure ML, ADLS OR Lambda, EC2, S3, Sagemaker etc.).
- Ensure scalability, reliability, and security of AI systems in production environments.
- Monitor model performance and retrain/update models as needed.
Other
- Collaborate with data scientists, ML engineers, and product teams to translate business needs into AI solutions.
- BACHELOR OF COMPUTER SCIENCE
