Principal AI​/ML Engineer

The Principal AI/ML Engineer develops and implements AI/ML models and solutions to drive business innovation and efficiency. This role involves leading AI/ML projects, collaborating with cross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Lead the development and implementation of AI/ML projects,including the design and development of models and algorithms.
• Collaborate with stakeholders to understand business requirements and translate them into AI/ML solutions.
• Develop and validate machine learning models, deep learning algorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevance of AI/MLoutputs.
• Stay updated with the latest advancements in AI/ML technologies and best practices, applying them to enhance solutions.
• Mentor and provide guidance to junior AI/ML engineers andother team members.
• Ensure compliance with data governance, security, and regulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports and documentation tosenior management and stakeholders.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by theHead of Data & AI Engineering or senior management.

• Bachelor’s degree in AI/ML Engineering, Computer Science, ora related field
• Relevant certifications (e.g., Google Cloud Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty) are preferred
• Minimum of 8 years of experience in AI/ML engineering orrelated fields
• Experience in developing and implementing AI/ML solutions for AI or technology-focused products
• Strong programming skills in languages such as Python, R, orJava
• Proficiency in AI/ML tools and frameworks (e.g., Tensor Flow,PyTorch)
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills
• Attention to detail and commitment to quality
• In-depth understanding of AI/ML principles, machine learning algorithms, and statistical analysis
• Familiarity with AI/ML model deployment and monitoring
• Knowledge of data governance, security, and regulatory standards
• Ability to manage multiple tasks and prioritize effectively
• Strong attention to detail and commitment to delivering high‑quality work
• Ability to work independently and as part of a team
• Programming languages (e.g., Python, R, Java)
• AI/ML tools and frameworks (e.g., Tensor Flow, PyTorch)
• Data visualization tools (e.g., Tableau, Power BI)
• Collaboration and communication tools (e.g., Slack,Microsoft Teams)
• Data management systems (e.g., SQL, No
  
  SQL databases)