AI / ML Engineer

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 field Relevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning –Specialty) are preferred Preferred 1 year of experience in AI / MLengineering or related fields. Strong programming skills in languages suchas Python, R, or Java 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, 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)

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