This role provides rigorous data analysis that influence business decisions and drives results to achieve the company’s growth objectives. The incumbent will work on a variety of high-visibility projects and will have the opportunity to apply advanced analytics, data modeling and machine learning concepts to collaborate cross-functionally to create recommendations and solutions to solve business challenges.

Job Responsibilities

• Design, build, and deploy production-grade AI/ML applications and services that deliver measurable business impact, including APIs, agentic workflows, and integrated decision systems
• Own solutions end-to-end from problem framing → model development → application integration → production deployment
• Develop and deploy machine learning models, LLM-powered workflows, and optimization solutions, ensuring they are reliable, scalable, and production-ready
• Design, containerize, and deploy services using modern cloud-native patterns (e.g., Docker, Kubernetes/AKS), exposing models and workflows via APIs for downstream consumption
• Build application-layer solutions and lightweight user interfaces (e.g., APIs, internal tools, or simple front-end experiences) that integrate AI outputs into business workflows
• Collaborate with Data Engineering, Platform Engineering, and IT to ensure solutions align with enterprise deployment patterns, CI/CD pipelines, and operational standards
• Help establish and evolve ML engineering and application development practices, including model lifecycle management, observability, testing, and production monitoring
• Apply strong software engineering practices to write clean, maintainable, and scalable code across services and applications
• Drive architectural decisions and contribute to engineering standards for AI-enabled applications across the team
• Translate complex technical systems into clear business outcomes and partner with stakeholders to ensure solutions are adopted and drive measurable impact
• Continuously deliver high-quality solutions with a focus on speed, reliability, and business value
• Stay current with advancements in applied AI, LLM tooling, and cloud-native development, adopting approaches that improve real-world outcomes

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Data Science, or a related quantitative field (or equivalent practical experience)
• 7+ years of experience building and deploying production-grade data science, machine learning, or AI-powered systems
• Proven experience owning solutions end-to-end from development through production deployment
• Strong programming skills in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, or C#)
• Experience building and deploying containerized applications and APIs using modern cloud platforms (e.g., Azure, AWS, Kubernetes/AKS)
• Experience working with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps) for building, testing, and deploying applications
• Strong applied machine learning experience, including model validation, monitoring, and maintaining performance in production environments
• Experience with LLM-based systems, including retrieval (RAG), agentic workflows, or prompt-based applications, with an emphasis on reliability and evaluation
• Strong API design and system integration skills, including building and operating production APIs
• Experience working with large-scale data systems (e.g., Databricks, Spark, Snowflake)
• Familiarity with embeddings and vector or hybrid search (e.g., Azure AI Search, Elasticsearch, OpenSearch, FAISS, Pinecone)
• Experience building lightweight user interfaces or integrating AI solutions into business-facing applications
• Strong problem-solving skills, communication, and ability to work cross-functionally with technical and business stakeholders

Compensation

The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

Our Benefits

We care about your total well-being and will support you with the following, subject to your location and role:

• Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement

• Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan

• Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement

• Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities

Our Company

At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions – within our people and our iconic brands like Birds Eye®, Slim Jim® and Reddi-Wip®.

Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.

Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.