Sr. AI/ML Engineer
Summary
Senior AI/ML Engineer builds, validates, and deploys machine learning and deep learning models to power AI-driven products and business solutions.
The Sr. AI/ML Engineer supports the development and implementation of AI/ML models and solutions to drive business innovation and efficiency. This role involves developing and validating machine learning models, deep learning algorithms, and statistical analyses, collaborating with cross-functional teams, and ensuring the quality and impact of AI/ML solutions.
- Support the development and implementationof AI/ML projects, including the design and development of models andalgorithms.
- Collaborate with stakeholders to understandbusiness requirements and translate them into AI/ML solutions.
- Develop and validate machine learningmodels, deep learning algorithms, and statistical analyses.
- Ensure the accuracy, quality, and relevanceof AI/ML outputs.
- Stay updated with the latest advancementsin AI/ML technologies and best practices, applying them to enhance solutions.
- Mentor and provide guidance to junior AI/MLengineers and other team members.
- Ensure compliance with data governance,security, and regulatory standards in all AI/ML activities.
- Prepare and present AI/ML reports anddocumentation to senior management and stakeholders.
- Participate in project planning andcontribute to the development of project timelines and deliverables.
- Perform other duties relevant to the job asassigned by the Principal AI/ML Engineer or senior management.
- Bachelor's degree in AI/ML Engineering,Computer Science, or a related field
- Relevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning -Specialty) are preferred
- Minimum of 5 years of experience in AI/MLengineering or related fields
- Experience in developing and implementingAI/ML solutions for AI or technology-focused products
- Strong programming skills in languages suchas Python
- Proficiency in AI/ML tools and frameworks(e.g., TensorFlow, PyTorch)
- Excellent problem-solving and analyticalskills
- Strong communication and interpersonalskills
- Attention to detail and commitment toquality
- In-depth understanding of AI/ML principles,machine learning algorithms, and statistical analysis
- Familiarity with AI/ML model deployment andmonitoring
- Knowledge of data governance, security, andregulatory standards
- Ability to manage multiple tasks andprioritize effectively
- Strong attention to detail and commitmentto delivering high-quality work
- Ability to work independently and as partof a team
- Programming languages (e.g., Python)
- 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, NoSQLdatabases)