AI/ML Data Engineer

Role: Sr. AI/ML Data Engineer / Modeling

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.

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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.