Lead AI Platform Engineer

Job summary

Abb*** is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

Qualifications

• and SLA specifications.
• Complete the development and deployment of AI models and algorithms to solve complex problems.
• Stay updated on advancements in AI research and technology to guide initiatives.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Coach, support, and provide mentorship for team members.
• Champion ethical AI practices and ensure compliance with regulatory standards.
• Address issues related to data privacy, security, and biases in AI systems.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.
• Minimum

Responsibilities

• The Lead Engineer, Artificial Intelligence is a pivotal position responsible for driving the strategic vision and technical execution of AI initiatives within the organization.
• Include, but are not limited to, the following:
• Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
• Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
• in lieu of Bachelor’s Degree.
• Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
• Demonstrated understanding of ethical considerations in AI systems.
• 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
• Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
• Strong analytical and problem-solving

Skills

Degrees

Industry

Company size