Our client is looking for a confident Consultant/Senior Consultant - Generative AI Engineer. This high-valued profile will be focusing on architecting and delivering solutions, working with a wide variety of clients and industries.

Description

• Develop PoC using Pre-trained Foundation Models and assisting stakeholders with analysis and implementation.
• Applying prompt-engineering techniques to specific use cases and model types.
• Collaborating with clients to rapidly develop AI solutions using Azure AI.
• Applying Foundation Models to propose and validate hypotheses for business queries.
• Displaying a growth mindset and genuine curiosity to understand clients' business processes and challenges, employing statistical analysis skills to identify transformation opportunities.
• Designing, implementing, and productizing AI pipelines with best practices and tools for seamless data handling, preprocessing, prompt design and engineering, deployment, and monitoring.
• Architecting end-to-end LLMOps solutions using cloud technologies, automation, and orchestration tools. Ensuring scalability, reproducibility, and reliability of AI/ML solutions.
• Developing Generative AI solutions and prompt management frameworks using cutting-edge methods to generate diverse and high-quality insights.
• Contributing to AI governance and ethics practices, addressing data privacy, model explainability, bias mitigation, and human-in-the-loop evaluation.
• Participating in large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.

Profile

• 2+ years of proven experience in designing and delivering AI/ML solutions.
• Experience in natural language processing (NLP) and text analytics is highly desirable.
• Knowledge of cloud technologies, specifically Azure, and expertise in leveraging them for large-scale AI workloads.
• Ability to identify fundamental problems from real-world cloud use-cases and design, build, and validate successful AI solutions.

• Bachelor's degree or MS degree in Computer Science, Engineering, Informatics, Statistics, Data Science.
• Comprehensive understanding and hands-on experience with LLM workflows, LLM lifecycle management frameworks, and tools like ML- PromptFlow.
• Proficiency in using Visual Studio Code.
• Proven experience with relevant cloud technologies, ideally MS Azure or AWS, GCP.
• Knowledge and proficiency in Azure AI Services including Azure AI Search.
• Experience building AI products using LLMs, embeddings or other natural language technologies particularly leveraging Vector Search.
• Strong understanding of key concepts in Foundation Models literature and expertise in building and deploying them for real-world examples.
• Experience with ML and deep learning.
• Experience leveraging a variety of services to act as data sources such as Azure Data Lake, Azure Synapse Analytics, Azure SQL, etc.
• Strong communication skills, demonstrating an ability to work effectively with clients.
• Experience with or knowledge of Agile Software Development methodologies.
• Proficiency in programming languages such as Python, or other commonly used languages in AI/ML development

Job Offer

• Continuous learning
• Transformative leadership