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Machine Learning Engineer at PAR Technology. Location Information: Gurugram. . 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 100,000 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 . partech.com. 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 We’re Looking For:. Entrees (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. 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 . [email protected]. . . If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website. . .