Senior Data and AI Engineer

View full description

Requirements:

• Minimum of 5 years in a Software Development role including 2 years in AI/ML engineering or a related field, with a track record of delivering AI solutions.
• Proven experience with deploying LLMs and RAG solutions in production environments.
• Background in building and managing data pipelines for AI/ML systems.
• Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or similar.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and integrating AI solutions into cloud-based systems.
• Proficiency in database management, data wrangling, and distributed systems.
• Solid foundation in algorithm design, statistics, and data science.
• Previous experience promoting and advocating for technology adoption in a corporate setting.

Responsibilities:

• Implement the company’s AI strategy, setting the foundation for AI initiatives across the organization.
• Lead the design, development, and rollout of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) based solutions.
• Design and manage data pipelines for efficient data collection, preprocessing, and model training.
• Develop and deploy AI models and solutions into the company’s cloud infrastructure, ensuring scalability, security, and performance.
• Ensure the integrity, quality, and availability of data for training and inference.
• Work closely with cross-functional teams to integrate AI capabilities into products and services.
• Identify and prioritize areas where AI and machine learning models can add value to business processes, products, and operations.
• Educate and guide stakeholders on the potential applications of AI, fostering a culture of innovation.