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.
Responsibilities and Duties
- Lead the development and implementation of AI / ML projects,including the design and development of models and algorithms.
- Collaborate with stakeholders to understand businessrequirements and translate them into AI / ML solutions.
- Develop and validate machine learning models, deep learningalgorithms, and statistical analyses.
- Ensure the accuracy, quality, and relevance of AI / MLoutputs.
- Stay updated with the latest advancements in AI / MLtechnologies 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, andregulatory 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 thedevelopment of project timelines and deliverables.
- Perform other duties relevant to the job as assigned by theHead of Data & AI Engineering or senior management.
Requirements
Bachelor’s degree in AI / ML Engineering, Computer Science, ora related fieldRelevant certifications (e.g., Google Cloud ProfessionalMachine Learning Engineer, AWS Certified Machine Learning – Specialty) arepreferredMinimum of 8 years of experience in AI / ML engineering orrelated fieldsExperience in developing and implementing AI / ML solutionsfor AI or technology-focused productsStrong programming skills in languages such as Python, R, orJavaProficiency in AI / ML tools and frameworks (e.g., TensorFlow,PyTorch)Excellent problem-solving and analytical skillsStrong communication and interpersonal skillsAttention to detail and commitment to qualityIn-depth understanding of AI / ML principles, machine learningalgorithms, and statistical analysisFamiliarity with AI / ML model deployment and monitoringKnowledge of data governance, security, and regulatorystandardsAbility to manage multiple tasks and prioritize effectivelyStrong attention to detail and commitment to deliveringhigh-quality workAbility to work independently and as part of a teamProgramming languages (e.g., Python, R, Java)AI / ML tools and frameworks (e.g., TensorFlow, PyTorch)Data visualization tools (e.g., Tableau, Power BI)Collaboration and communication tools (e.g., Slack,Microsoft Teams)Data management systems (e.g., SQL, NoSQL databases)#J-18808-Ljbffr