AI- ML Engineer

Experience:

• 4+ years of experience in software architecture, with at least 4 years in AI/ML or data-centric roles.

• Proven experience in designing and deploying machine learning models in a production environment.

• Experience with Generative AI technologies and their application in business contexts.

Technical Skills:

• Proficiency in programming languages such as Python, R, or Java.

• Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.

◦ Strong understanding of Azure cloud platforms and its AI/ML services.

◦ Experience with data management tools and technologies (e.g., SQL, NoSQL databases, ETL tools).

◦ Familiarity with MLOps practices and tools for continuous integration/deployment of ML models.

• Proficiency in LLMs and Generative AI toolchains including RAG,

◦ Integrate AI models into existing toolchains and workflows.

◦ Utilize Retrieval-Augmented Generation (RAG) techniques to enhance model capabilities.