AI/ML Specialist

Job Title: AI/ML Specialist

Department: Information Technology

Reporting to: Manager, Development

Location: Mississauga/Varennes

Greenfield is looking for an AI/ML Specialistto join our growing team.

Position Overview:

The AI/ML Specialist is responsible for analyzing large sets of structured and unstructured data to identify trends and patterns, create predictive models, and provide actionable recommendations to improve business processes and decisions. This role involves using statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data patterns. The ideal candidate should have strong programming skills in languages such as Python or R, experience with data manipulation tools like SQL, and a solid understanding of statistical analysis. Additionally, excellent problem-solving abilities, effective communication skills, and the ability to work collaboratively with cross-functional teams are essential for success in this position.

Greenfield has 14 sites with over 750 employees. The AI/ML Specialist will be assigned primary duties and responsibilities while also serving as a backup to our ML Engineer.

Who We Are:

Greenfield Global is a leading producer and supplier of high-value, mission-critical raw materials, ingredients, and additives that are vital to businesses and integral to a lower-carbon economy. From start-ups to the largest brands in the world, customers trust Greenfield's extensive portfolio of premium products, regulatory expertise, and industry-leading service to improve people's lives and the health of the planet.

Why Join Greenfield?

We innovate, collaborate, and work with purpose. By unlocking the potential of people, partnerships, and nature to accelerate sustainable solutions for the health of the planet, our work has a positive impact on the environment around the world. We're always looking for people who can bring new talents and experience to our team.

Who You Are:

• Strong verbal and written communication skills to convey findings to non-technical stakeholders
• Work independently and take initiative on projects
• Work on a team and inspire increased productivity from teammates
• Think and adapt quickly to meet business needs
• Stay current with AI/ML technologies
• Possesses a natural curiosity to explore data and persistence to solve challenging problems
• Possesses Company values of honesty, integrity, respect, commitment and open to change while modelling the Company Core Principles in all activities
• Ability to foster collaborative, cross department relationships to meet common objectives

Your Experience Should Include

• Minimum of 2 years of in-depth work experience in data science, machine learning and statistical analysis
• Two years of hands-on experience with cloud platforms (Azure preferred) and related database services
• Experience with AI models using structured and unstructured data sources
• Strong skills in mathematics and statistical analysis concepts like linear regression, probability distributions and other statistics techniques for creating high-quality machine learning models
• Highly skilled in relational and dimensional data modeling
• Completion of a master's degree in a data science or related field

Bonus Points if you Have Any of These:

• Databricks Genie or related NLP AI chatbot experience
• Copilot Studio and Power Platform experience
• Knowledge of data pipelines using Azure Data Factory and Azure Databricks
• Experience with Power Bi for data visualization
• Experience with DevOps & Agile Methodologies

Job Responsibilities:

• Collaborate closely with machine learning / data engineers, IT, and business teams to develop opportunities to leverage company data and drive business solutions
• Identify and validate high-value AI/ML opportunities, rapidly prototype solutions, and ensure implementations deliver measurable business outcomes and tangible ROI
• Build functional demonstrations using no-code to low-code AI/ML tools
• Create Azure OpenAI services to build, fine-tune and deploy machine learning models
• Process, cleanse, and validate the integrity of data to be used for analysis
• Analyze large amounts of information to find patterns and solutions
• Develop predictive systems and machine learning algorithms using Data Bricks & Microsoft Tools
• Participates in cross-functional projects and team collaboration
• Exceptional communicator who can collaborate with stakeholders to gather and understand business related needs
• Extensive experience in a manufacturing or financial environment
• Develops and maintains process-related documentation
• Troubleshoot and support system bugs and incidents
• Stay updated with the latest technologies and best practices
• Follow Information Technology policies and industry best practices
• Other duties as assigned

Total Compensation & Care:

• Base salary dependent on experience and demonstrated performance
• Formal and informal training opportunities
• Comprehensive health and dental benefits
• Income protection: short- and long-term disability coverage, life insurance, paid personal sick time
• Vacation time exceeding industry standards
• Company funded retirement savings program with individual contribution opportunities
• Meaningful and challenging work
• Curated intentional culture focused on growth and development, engagement, and communication

About Us

We own and operate five distilleries, four specialty chemical manufacturing and packaging plants, and three next-generation biofuel and renewable energy R&D centers. This integrated model enhances supply chain transparency, quality control, custom formulation development, and ultimately customer satisfaction.

Core Values

• Honesty
• Integrity
• Respect
• Commitment
• Openness to Change

Core Principles

• Innovation: We are constantly seizing opportunities to develop new products, processes and methods to meet the diverse and demanding requirements of our customers.
• Collaboration: We are part catalyst, part collaborator. We work with partners to get the most out of our existing products, and to develop custom solutions for our customer requirements.
• Responsibility: Our commitment to give back to local communities in the US and Canada goes beyond the bottom line. We give back to the planet by processing renewable resources into low carbon fuels and chemicals.
• Agility: Our team is not only fast, we have the flexibility and creativity to pivot with customer needs to develop custom-made, on-time solutions.
• Discipline: At every plant, and for every customer, for every shipment, we put quality first. We operate a tight, transparent supply chain while meeting the highest regulatory standards.