Senior AI (IT Python and AI programming (SME) Engineer

Senior AI (IT Python and AI programming (SME) Engineer)

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Summary

Will be responsible to assist Vice President of Information Technology (IT) design, develop, maintain, support, and translate corporate business vision and strategy along with stakeholder input into objectives for building, enhancing, or replacing business and IT systems capabilities, together with an implementation of a comprehensive IT roadmap, all-the-while maintaining resilience to change as a key architectural and strategy objective for the enterprise. In the fast-paced world of IT, agility and responsiveness to the frequently occurring changes in direction are a must.

Duties and Responsibilities

• Designs and develops scalable solutions using AI tools and machine-learning models.
• Performs research and testing to develop machine learning algorithms and predictive models.
• Utilizes big data computation and storage tools to create prototypes and datasets.
• Conducts model training and evaluation.
• Integrates, tests, tunes, and monitors solutions.
• Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or scikit-learn.
• Data Engineering and Analysis Skills : demonstrable experience with data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large-scale data sets.
• Implementing and Deploying Cloud Applications : experience deploying Python applications in cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes).
• Understanding of Software Engineering Best Practices : experience in version control (Git), writing clear and testable code, participating in code reviews, and using CI / CD pipelines.
• Knowledge of Data Science Best Practices : understanding and implementation of data science solutions such as data pipelining, feature engineering, or creation of machine learning models.
• Familiarity with Cloud-based Data Science Services : proficiency using managed AI / ML services provided by cloud platforms to streamline development, deployment, and management of data science applications.
• Ethical Practices and Security Knowledge : awareness and application of ethical guidelines for data science solutioning, including addressing bias, ensuring data privacy, and implementing secure coding practices in Python-based solutions.
• Additional qualifications and expertise may include exceptional, highly specialized or unique capabilities, strategic guidance, and recommendations for client-specific challenges; responsible for explaining and documenting findings and facilitating decision-making.
• Communication : ability to explain complex technical concepts to both technical and executive stakeholders; proficiency creating diagrams and design / architecture documents; and preparing management briefings and reports.
• Proficiency in Generative AI and prompt engineering; continuous learning and adaptability in a large IT organization; troubleshooting in large-scale enterprise environments; API development and integration; SQL and NoSQL data querying and management.
• Data science tasks such as data acquisition, cleaning, feature extraction; develop PoCs; create technical diagrams and documentation for PoCs; research and present findings on latest tools; recommend tools for production; collaborate with governance committees and architecture teams on automation and AI / ML solutions.

Education

Over Twenty (20) years' of relevant experience.

Seniority level

Employment type

Job function

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