We are seeking a Machine Learning Engineer to join our growing AI team at PAR. This role will focus on developing and scaling GenAI-powered services, recommender systems, and ML infrastructure that fuel personalized customer engagement.
Requirements
- Master's or PhD in Computer Science, Machine Learning, or a related field
- 3+ years of experience delivering production-ready machine learning solutions
- Deep understanding of ML algorithms, recommender systems, and NLP
- Experience with LLM frameworks (Hugging Face Transformers, LangChain, OpenAI API, Cohere)
- Strong proficiency in Python, including object-oriented design and scalable architecture
- Advanced expertise in Databricks: notebooks, MLflow tracking, data pipelines, job orchestration
- Hands-on experience with cloud-native technologies – preferably AWS (S3, Lambda, ECS/EKS, SageMaker)
- Experience working with modern data platforms: Delta Lake, Redis, Elasticsearch, NoSQL, BigQuery
- Strong verbal and written communication skills to translate technical work into business impact
- Flexibility to collaborate with global teams in PST/EST time zones when required
Benefits
- Equal employment opportunities
- Reasonable accommodations for individuals with disabilities