Job Responsibilities
As a Generative AI Specialist, you will:
• Identify Opportunities: Proactively seek out and identify potential applications for Generative AI within the organization.
• Evaluate Technologies: Assess and evaluate existing and emerging Generative AI technologies for suitability in meeting business objectives.
• Conceptualize Solutions: Develop innovative concepts for AI applications that align with organizational goals.
• Build and Rollout AI Applications: Lead the development and implementation of AI applications, employing both in-house development and external procurement strategies.
• Collaborate Across Teams: Work closely with various departments to ensure seamless integration and effective deployment of AI solutions.
• Leadership and Teamwork: Exhibit strong leadership qualities and work collaboratively with the team to achieve project goals.
• Solution Selling: Effectively communicate and advocate for the adoption of AI solutions within the organization.
• Continuous Learning: Stay abreast of the latest developments in Generative AI and related fields.
Requirements:
• Minimum of 5 years’ experience in machine learning and data science technologies
• Strong Understanding of the AI Ecosystem: Comprehensive knowledge of components critical to Generative AI, including Large Language Models (LLMs), Prompt Engineering Techniques
• Hands on experience in Machine Learning Operations (MLOps) covering entire lifecycle of a ML model.
• Knowledge of Retrieval-Augmented Generation (RAG): Strong understanding with RAG for enhancing the quality of AI applications.
• Programming Skills: Excellent programming abilities in relevant languages (python) and frameworks (Llama Index, Lang Chain).
• Hands on experience in AWS ML Services like SageMaker, Kendra, OpenSearch
• Leadership Skills: Demonstrated leadership capabilities with the ability to inspire and guide teams.
• Communication Proficiency: Excellent verbal and written communication skills in English.
• Team Player: Proven ability to work effectively in a team environment.
• Professional Experience: Solid background in developing and implementing AI solutions in a corporate setting
