AI/ML Developer Standard III

AI/ML Developer Standard III
4 DAYS ON SITE IN DC
LOCAL TO DC/VA/MAD

Requirement:
We are seeking a Senior AI/ML Data Engineer to join our knowledge team on-site to develop the knowledge hub. The ideal candidate should have a strong background in overall application development architecture, including front-end and back-end development, AI/ML orchestration, and data management. The candidate will be responsible for developing and working closely with the business owners and offshore teams to deliver knowledge management solutions.
Key Responsibilities:

• Over 12+ experience in designing and developing high performance web applications.
• Having extensive experience in designing and leading engineering teams in developing AI platforms and tools, leveraging the latest technologies like Generative AI, Large Language Models (LLMs), vector search, and RAG.
• Led product end-to-end delivery of multiple impactful products, ensuring flawless execution and adherence to top-tier processes.
• Good exposure to Azure, AWS & Google Cloud to build AI applications.
• Expertise in designing and programming the Internet using a diverse range of technologies, including Python, Graph DB, Vector DB, C#, .Net Framework, SQL, NoSQL, JSON, XML, HTML, JavaScript, Angular, CSS, Redis cache, Restful API and NLP.
• Collaborating seamlessly with cross-functional teams, aligning product development and release cycles.
• Maintaining an exacting standard of code quality and performance within the development team, fostering a culture of continuous improvement.
• Enforcing low-latency standards across diverse geographical regions, optimizing solutions for global efficacy.
• Evaluate open-source machine learning models and develop implementation strategies for different products.
• Managing simultaneous oversight of multiple projects for seamless delivery. Mentoring seniors and juniors on design principles and optimal problem-solving.
• Collaborated seamlessly with cross-functional teams, aligning product development and release cycles.
• Evaluate open-source machine learning models and develop implementation strategies for different products.

Skillset / Technologies:

• UI technologies: HTML, JavaScript. Any JS framework. Angular is preferred.
• Middleware: Microsoft .NET stack including .NET core, SharePoint, C#, Azure.
• Databases: SQL, Graph DB, Redis Cache, NoSQL, CouchDB
• AI / ML: Python, Vertex AI, Azure OpenAI, RAG, Vector Search, Azure AI Search, prompt engineering