Ingredion seeks to drive digital transformation and innovation across various functions by managing, designing, developing, and deploying scalable artificial intelligence and machine learning solutions to solve business problems.
Requirements
- 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, 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, AWS, Azure, or GCP.
- Experience in working with large and complex datasets, using SQL, NoSQL, or big data technologies, such as Hadoop, Spark, or Hive.
- Experience in managing and optimizing AI/ML pipelines, workflows, and infrastructure
- Experience in applying DevOps principles and practices to AI/ML engineering, such as code quality, testing, documentation, version control, and CI/CD.
- Certification in AI/ML solutions & architecture or related fields is a plus.
Responsibilities
- Analyze requirements for ML projects supporting Ingredion functional areas (demand planning, experimental ingredient formulations, manufacturing, yield management, and others) and translate them into ML solutions.
- Assist in leading the Ingredion and DTS AI Labs community in peer reviewing member projects, formalizing best practices and standards, and collaborating with Ingredion Data Scientists on ML problems.
- Review and advise project uses of AI/ML frameworks, tools, and platforms, such as TensorFlow, PyTorch, Scikit-learn, R, Azure, and Google Cloud Platform.
- Design and implement end-to-end AI/ML pipelines, from data ingestion and processing, to model development and deployment, to monitoring and evaluation.
- Design and document solution architectures, including the integration, security, scalability, and performance aspects.
- Test and validate solutions and ensure they meet the quality standards and expectations of the solution architecture and design.
- Provide technical leadership and mentorship to development teams and junior AI/ML engineers and data scientists.
Other
- Bachelor's degree or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field.
- 5 to 7 years of experience in AI/ML engineering, or related roles.
- Excellent communication and presentation skills, with the ability to explain complex AI/ML concepts and solutions to both technical and non-technical audiences.
- Experience working in a global environment, with the ability to navigate cultural differences and collaborate effectively with diverse teams across geographies.
- Excellent communication, presentation, and interpersonal skills.
