27784 - Sr AI/Data Science Engineer

Sr AI/Data Science Engineer (Fullstack AI/ML Engineer)

Full-stack web application development experience using Vue.js, TypeScript, JavaScript, Python/Flask, REST APIs, and modern UI frameworks.

Experience designing and developing enterprise-scale business applications with workflow automation, role-based security, PostgreSQL, and other database integrations.

Experience working with cloud platforms, AI-enabled applications, third-party API integrations, and Agile development methodologies. AI/ML hands on exp

Additional preferred experience:

Experience with PostgreSQL, PostgREST, Redis, Docker, and multi-container application environments.

Familiarity with automated testing, code reviews, Git-based development workflows, and CI/CD practices.

Strong problem-solving, communication, and cross-functional collaboration skills

Responsibilities may include the following and other duties may be assigned. In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Can work with large scale computing frameworks, data analysis systems and modeling environments. TECHNICAL SPECIALIST CAREER STREAM: An individual contributor with responsibility in our technical functions to advance existing technology or introduce

new technology and therapies. Formulates, delivers and/or manages projects assigned and works with other stakeholders to achieve desired results. May act as a mentor to colleagues or may direct the work of other lower level professionals. The majority of time is spent delivering R&D, systems or initiatives related to new technologies or therapies – from design to implementation - while adhering to policies, using specialized knowledge and skills. DIFFERENTIATING FACTORS Autonomy: Seasoned individual contributor. Works independently under limited supervision to determine and develop approach to solutions. Coaches and reviews the work of lower level specialists; may manage projects / processes. Organizational Impact: May be responsible for entire projects or processes within job area. Contributes to the completion of work group objectives, through building relationships and consensus to reach agreements on assignments. Innovation and Complexity: Problems and issues faced are difficult, and may require understanding of multiple issues, job areas or specialties. Makes improvements of processes, systems or products to enhance performance of the job area. Analysis provided is in-depth in nature and often provides recommendations on process improvements. Communication and Influence: Communicates with senior internal and external customers and vendors. Exchange information of facts, statuses, ideas and issues to achieve objective, and influence decision-making. Leadership and Talent Management: May provide guidance, coaching and training to other employees within job area. May manage projects, requiring delegation of work and review of others' work product. Required Knowledge and Experience: Requires advanced knowledge of job area combining breadth and depth, typically obtained through advanced education combined with experience. May have practical knowledge of project management. Requires a Baccalaureate degree (or for degrees earned outside of the United States, a degree which satisfies the requirements of 8 C.F.R. § 214.2(h)( 4)(iii)(A) and minimum of 4 years of relevant experience, or advanced degree with a minimum of 2 years relevant experience.