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Form of workJob Description
***We are unable to sponsor for this permanent full-time role***
***Position is bonus eligible***
Prestigious Global Firm is currently seeking a Artificial Intelligence Engineer. Candidate will provide technical leadership and oversight to AI solutions, ensuring high-quality standards and scalability.
Responsibilities:
- 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.
- Identifies opportunities for process improvement and proposes new tools and methodologies to improve the efficiency and effectiveness of the team.
- Collaborates closely with stakeholders and other departments to understand their requirements and translate them into AI solutions.
- 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 lifecycle 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
- Proven strong written and verbal communication skills.
- Experience working in agile delivery, Jira usage or other agile delivery best practices.
- Experience in crafting/leveraging Software architecture and lifecycle processes and best practices.
- Experience with Pandas, Scikit-learn; familiarity with PyTorch is a bonus.
- Agile software development experience
