Machine Learning Engineer
Machine Learning Engineer
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Job Description
For over four decades PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100000 restaurants in more than 110 countries. Embracing our Better Together ethos we offer Unified Customer Experience solutions combining point-of-sale digital ordering loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more visit or connect with us on LinkedIn X (formerly Twitter) Facebook and Instagram.
Position Description:
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. You will work across teams to drive technical excellence and real-world ML application impact.
Position Location:
Jaipur / Gurgaon
Reports To:
Hiring Manager Title e.g. Head of AI or Senior Director AI Engineering
What Were Looking For:
Entrees (Requirements):
Masters 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
With a Side of (Additional Skills):
Familiarity with vector databases (FAISS ChromaDB Pinecone Weaviate)
Experience with retrieval-augmented generation (RAG) and hybrid search systems
Skilled in deploying ML APIs using FastAPI or Flask
Background in text-to-SQL applications or domain-specific LLMs
Knowledge of ML Ops practices: model versioning automated retraining monitoring
Familiarity with CI/CD for ML pipelines via Databricks Repos GitHub Actions etc.
Contributions to open-source ML or GenAI projects
Experience in the restaurant/hospitality tech or digital marketing domain
Unleash Your Potential: What You Will Be Doing and Owning:
Build and deploy GenAI-powered microservices and personalized recommendation engines
Design and manage Databricks data pipelines for training feature engineering and inference
Develop high-performance ML APIs and integrate with frontend applications
Implement retrieval pipelines with vector DBs and search engines
Define and maintain ML Ops workflows for versioning retraining and monitoring
Drive strategic architectural decisions for LLM-powered multi-model systems
Collaborate across product and engineering teams to embed intelligence in customer experiences
Enable CI/CD for ML systems with modern orchestration tools
Advocate for scalability performance and clean code in all deployed solutions
Interview Process:
Interview #1: Phone Screen with Talent Acquisition Team
Interview #2: Technical Interview Round 1 with AI/ML Team (via MS Teams / F2F)
Interview #3: Technical Interview Round 2 with AI/ML Team (via MS Teams / F2F)
Interview #4: Final Round with Hiring Manager and Cross-functional Stakeholders (via MS Teams / F2F
PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race color religion sex national origin age disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application pre-employment testing a job interview or to otherwise participate in the hiring process or for your role at PAR please contact .If youd like more information about your EEO rights as an applicant please visit the US Department of Labors website.
Employment Type
Full-Time
