GenAI

About the Role

Advise clients on GenAI use cases, strategies, and provide feedback for product roadmap. Support pre-sales activities by providing GenAI expertise and contributing to product roadmaps.

Key Responsibilities

• Evaluate and recommend suitable GenAI models and solutions for clients' problem statements.
• Design and prototype GenAI features and applications, focusing on user needs and value.
• Keep up with the latest advancements in AI technologies, including GenAI and the latest features of popular tools (RAG).
• Collaborate with engineering and design teams to ensure successful product integration.
• Collect, clean, and preprocess data using appropriate tools and libraries, ensuring compatibility with AI algorithms and frameworks.
• Train, test, and evaluate AI models employing appropriate evaluation metrics.
• Optimize and fine-tune models for performance, scalability, and efficiency.
• Implement and deploy AI solutions in production environments under different frameworks.
• Ability to build applications and use appropriate prompting on generative AI models.
• Assess the ethical implications and risks associated with GenAI product deployments.

Requirements & Tech Stack

• Strong hands-on background in AI, machine learning, deep learning, and statistical modeling.
• Proficiency in programming languages such as Python, Java.
• Strong understanding of existing GenAI services.
• Strong understanding of data structures, algorithms, and AI project lifecycle.
• Strong experience in Natural Language Processing, Large Language Models, and RAG approaches.

Qualifications

• Bachelor's / Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Strong analytical, problem-solving, and critical thinking skills.
• Desire to investigate and try-out new tools and technologies as they are released.
• Ability to work under tight timelines, in cases for multiple project deliveries.
• Good interpersonal skills and ability to work effectively within high-performing teams.
• Confidence to convey technical advice and guidance to clients.
• Ability to adapt in a fast-paced multinational environment.
• Evidence of self-motivation for continuous development.