The AI / ML Engineer develops andimplements AI / ML models and solutions to drive business innovation andefficiency. This role involves developing and validating machine learningmodels, deep learning algorithms, and statistical analyses, collaborating withcross-functional teams, and ensuring the quality and impact of AI / ML solutions.
Responsibilities and Duties
- Develop and implement AI / ML projects,including the design and development of models and algorithms.
- 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.
- Provide support and guidance to other teammembers as needed.
- 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 Sr. AI / ML Engineer or senior management.
Requirements
Bachelor’s degree in AI / ML Engineering,Computer Science, or a related fieldRelevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning –Specialty) are preferredPreferred 1 year of experience in AI / MLengineering or related fields.Strong programming skills in languages suchas Python, R, or JavaProficiency in AI / ML tools and frameworks(e.g., TensorFlow, PyTorch)Excellent problem-solving and analyticalskillsStrong communication and interpersonalskillsAttention to detail and commitment toqualityIn-depth understanding of AI / ML principles,machine learning algorithms, and statistical analysisFamiliarity with AI / ML model deployment andmonitoringKnowledge of data governance, security, andregulatory standardsAbility to manage multiple tasks andprioritize effectivelyStrong attention to detail and commitmentto delivering high-quality workAbility to work independently and as partof 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, NoSQLdatabases)#J-18808-Ljbffr