About the role
- Apply machine learning and AI algorithms to uncover insights and solve business challenges
- Mine, process, clean, and validate large structured and unstructured datasets
- Develop and experiment with advanced LLM techniques and Retrieval-Augmented Generation (RAG)
- Collaborate with cross-functional teams to integrate models into production systems
- Perform statistical analysis to support data-driven decision-making
- Build and maintain scalable data pipelines using Snowflake and other modern tools
- Contribute to the evolution of Epicor’s AI strategy through research and innovation
Requirements
- Proficiency in Python for data science and machine learning applications
- Hands-on experience with LLMs and generative AI techniques
- Strong understanding of machine learning algorithms and their practical applications
- Experience working with Snowflake and implementing RAG-based solutions
- Comprehensive health and wellness benefits designed to support your overall well-being.
- Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
- Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
- Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
- Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
- Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
- Comprehensive support for international relocations and permanent residency processes.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonmachine learningAI algorithmsLLM techniquesRetrieval-Augmented Generationstatistical analysisdata processingdata validationdata pipelinesgenerative AI
Soft skills
collaborationcross-functional teamworkinnovationresearch