*Hybrid, 3 days onsite, 2 days remote*

*We are unable to sponsor as this is a permanent Full time role*

A prestigious company is looking for an Artificial Intelligence Engineer. This engineer will design infrastructure for large ML models, create AI solutions, and integrate ML models with web backends and end user UI. They will need experience with data science libraries like Pandas, Scikit-learn, and PyTorch. This engineer will need heavy experience with python.

Responsibilities:

• Provides technical leadership and oversight to AI solutions, ensuring high-quality standards and scalability
• Design and build infrastructure for serving large ML models
• Designs, develops, and deploys machine learning models integrated with web backends and end-user UI
• Performs code reviews, ensures data integrity, and adherence to architecture and design principles
• Provides guidance on the use of data science libraries such as Pandas, Scikit-learn, and PyTorch
• Oversees the development and maintenance of data pipelines to support machine learning workflows.
• Evaluates and adopts new technologies and frameworks to improve the performance and reliability of AI systems.
• Participates in sprint planning, stand-ups, and reviews, contributing to agile development cycles.
• Leads proof-of-concept initiatives to test the feasibility of new AI applications or features.
• Ensures compliance with data governance and privacy policies.
• Conducts performance testing and monitoring of deployed AI solutions to ensure they meet service level objectives.
• Documents code, algorithms, and data structures for maintainability and knowledge transfer.
• Supports the team in defining and tracking key performance indicators (KPIs) to measure the impact of AI initiatives.

Qualifications

• At least 5+ years of relevant working experience, with a focus on delivering value and outcomes in designing and deploying digital solutions.
• At least 3 years of experience with the full ML development life cycle using AI and ML frameworks, in public and private clouds.
• 5+ years of hands-on proficiency in Python, web backends, and relevant data science libraries
• Experience working in agile delivery, Jira usage or other agile delivery best practices.
• Experience in crafting/leveraging Software architecture and life cycle processes and best practices.
• Experience with Pandas, Scikit-learn; familiarity with PyTorch is a bonus.
• Agile software development experience