Sr. Manager - Artificial Intelligence/Machine Learning Technologies & Architecture

Ingredion

Full-time - Senior

Food Manufacturing

About the position

The Sr. Manager - Artificial Intelligence/Machine Learning Technologies & Architecture will be responsible for managing, designing, developing, and deploying scalable and robust artificial intelligence and machine learning solutions for various business problems to enable digital transformation and innovation across various functions. This senior-level role demands a candidate with a strong background in AI/ML design, development, and architecture of AI/ML technologies, and partnership with technical and non-technical stakeholders. This role will collaborate with cross-functional teams to architect, design, and ensure development of impactful solutions that optimize processes for the identified opportunities. Additionally, this role will be responsible for managing the AI/ML operations and will lead an external team of AI/ML engineers, architects, consultants, and data scientists under a factory model approach. This position will work closely with the Digital Partners, Solution Delivery leads, business analysts, consultants, developers, and project managers to understand the business requirements, translate them into AI/ML initiatives, and ensure the delivery of high-quality solutions. The candidate will recommend the best solutions to meet the business requirements and will also provide technical guidance, best practices, and troubleshooting support to the executing teams. Core responsibilities include analyzing business requirements and processes, designing and implementing end-to-end AI/ML pipelines, applying best practices and standards for AI/ML engineering, selecting appropriate AI/ML frameworks, researching and evaluating the latest AI/ML techniques, and ensuring that solutions are developed according to specifications. The role also involves providing technical leadership and mentorship to the development team, collaborating with various stakeholders, and monitoring the performance and impact of AI/ML solutions. The candidate will stay updated on the latest technologies and trends, serving as a trusted advisor to the Digital Partner and Digital Technology Solutions Leadership Team on technology-related matters.

Responsibilities

• Analyze the business requirements and processes of our business and translate them into solutions.
• Design and implement end-to-end AI/ML pipelines, including data ingestion and processing, model development and deployment, monitoring, and evaluation.
• Apply best practices and standards for AI/ML engineering, such as code quality, testing, documentation, version control, and continuous integration / continuous delivery & deployment.
• Select and use appropriate AI/ML frameworks, tools, and platforms, such as TensorFlow, PyTorch, Scikit-learn, Azure, or GCP.
• Research and evaluate the latest AI/ML techniques and algorithms and apply them to solve business problems.
• Design and document the solution architecture, including the integration, security, scalability, and performance aspects.
• Accountable for ensuring that the solutions are developed and configured according to the solution design and specifications.
• Review and approve all detailed solution design artifacts like functional and technical specifications.
• Test and validate the solutions and ensure they meet the quality standards and expectations of the solution architecture and design.
• Provide technical leadership and mentorship to the development team and ensure adherence to best practices and standards.
• Collaborate with data engineers, data scientists, business analysts, and stakeholders to understand the business needs, define the AI/ML objectives, and communicate the results and insights.
• Provide technical guidance and mentorship to junior AI/ML engineers and data scientists.
• Manage the AI/ML operations team and ensure the quality, reliability, and scalability of AI/ML solutions.
• Establish and enforce best practices, standards, and processes for AI/ML development and deployment.
• Collaborate with stakeholders, product managers, and engineers to define and prioritize AI/ML requirements and deliverables.
• Monitor and evaluate the performance and impact of AI/ML solutions and provide feedback and recommendations for improvement.
• Collaborate with digital partners, project managers, solution delivery leads, business analysts, and end-users to provide feedback, updates, and recommendations on the solutions.
• Provide expert advice, help, and support to resolve any technical issues and challenges that arise during the project implementation and deployment.
• Stay updated on the latest technologies, trends, and innovations and suggest improvements and enhancements to the solutions.
• Evaluate new and emerging technologies and trends, conducting feasibility studies and prototyping to assess potential impact and value, and foster a culture of innovation and learning within the team.
• Serve as a trusted advisor to Digital Partner and Digital Technology Solutions Leadership Team on function technology-related matters, providing insights and recommendations to inform strategic decision-making.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field.
• 5 to 7 years of experience in AI/ML engineering, or related roles.
• Proficient in one or more of the AI/ML programming languages.
• Strong knowledge and experience in AI/ML concepts, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, reinforcement learning, etc.
• Hands-on experience in building and deploying AI/ML solutions using various frameworks, tools, and platforms, such as TensorFlow, PyTorch, Scikit-learn, Azure, or GCP.
• Experience in working with large and complex datasets, using SQL, NoSQL, or big data technologies.
• Experience in managing and optimizing AI/ML pipelines, workflows, and infrastructure.
• Excellent communication and presentation skills, with the ability to explain complex AI/ML concepts and solutions to both technical and non-technical audiences.
• Experience in applying DevOps principles and practices to AI/ML engineering, such as code quality, testing, documentation, version control, and continuous integration / continuous delivery & deployment.
• Experience working in a global environment, with the ability to navigate cultural differences and collaborate effectively with diverse teams across geographies.
• Experience working in a matrixed environment, with the ability to influence.
• Handle multiple priorities simultaneously.
• Ability and willingness to travel.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and as part of a team.
• Ability to work under pressure and meet deadlines.
• Certification in AI/ML solutions & architecture or related fields is a plus.

Nice-to-haves

• Certification in AI/ML solutions & architecture or related fields is a plus.

Benefits

• Relocation Available: Yes, Within Country