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.

Machine Learning Engineer

Location: Jaipur / Gurgaon India

About the Role

PAR is looking for a technically exceptional Machine Learning Engineer to join our AI team and help shape the next generation of personalized customer engagement this role you will design develop and scale GenAI-powered services and machine learning infrastructure that power key product features such as campaign recommendations personalized promotions and customer intelligence.

This role is ideal for someone who is hands-on performance-driven and experienced in productionizing ML systems using modern data platforms such as AWS Bedrock Databricks LangChain and LlamaIndex.

What Youll Do

• Design develop and deploy GenAI-powered microservices and recommendation systems using LLMs embedding models and Retrieval-Augmented Generation (RAG).

• Build scalable data pipelines using Databricks PySpark and Delta Lake for model training feature engineering and real-time or batch inference.

• Develop and maintain high-performance ML APIs using FastAPI Flask or similar frameworks.

• Implement retrieval pipelines using vector databases such as FAISS ChromaDB or Pinecone to enable hybrid search and personalization.

• Collaborate closely with product engineering and data teams to integrate ML capabilities into customer-facing applications and dashboards.

• Implement ML Ops best practices including model versioning evaluation monitoring and automated retraining using MLflow or similar tools.

• Design and maintain CI/CD workflows for ML pipelines using tools such as GitHub Actions Databricks Repos or similar.

• Contribute to architectural decisions around LLM orchestration multi-model systems and infrastructure optimization on AWS.

• Communicate technical solutions clearly and provide actionable recommendations to cross-functional stakeholders.

What Youll Need

• 3 years of hands-on experience working on production Machine Learning projects.

• Masters or PhD in Computer Science Machine Learning AI or related field.

• Strong knowledge of machine learning algorithms recommendation systems and NLP.

• Hands-on experience with LLM frameworks such as Hugging Face LangChain OpenAI Cohere or similar.

• Strong programming skills in Python with experience in scalable production-grade system design.

• Advanced experience with Databricks including MLflow notebooks pipelines and job orchestration.

• Experience with cloud platforms (AWS preferred) including S3 Lambda ECS/EKS SageMaker and Step Functions.

• Experience with modern data platforms such as Delta Lake Elasticsearch Redis NoSQL databases or columnar storage systems.

• Strong communication skills and ability to work effectively with global teams.

• Flexibility to collaborate across time zones including occasional overlap with teams in PST and EST.

Preferred Qualifications

• Experience building recommendation systems in hospitality restaurant or digital marketing domains.

• Experience fine-tuning or building custom LLMs or embedding models.

• Experience developing enterprise-scale Text-to-SQL or conversational AI systems.

• Experience working with vector databases such as Pinecone Weaviate FAISS or ChromaDB.

• Contributions to open-source ML AI or GenAI projects.

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.

Required Experience:

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