Job Title: Chef (Multi-Cuisine) Department: Kitchen Employment Type: Permanent Vacancy: 1 Experience : 10 to 15 Years Job Summary: We are seeking a skilled and experienced Chef to join a private household in New Delhi. The role involves preparing all meals in coordination with a Senior Chef and catering to a high-standard, multi-cuisine palate for a family. The position is full-time and based at a private residence. Key Responsibilities: Prepare daily meals for the family alongside the Senior Chef. Specialize in at least two of the following cuisines: Western, Indian, Chinese/Far Eastern . Maintain hygiene and cleanliness of the kitchen area. Maintain and update recipe books and meal plans. Work cooperatively with a team of 7 staff members. Plan meals based on seasonal availability and nutritional requirements Job Requirements Qualifications & Experience: Minimum 10–15 years of experience in renowned kitchens or private households. 10+2 (Higher Secondary) education required. Culinary course or certification is desirable . Trained, skilled hands only – no freshers . Ability to communicate in Hindi and/or English . Good physical health and a positive, team-oriented attitude . Benefits: Uniform provided Medical insurance coverage 28 days annual paid leave with round-trip train fare On-site quarter space accommodation

MLOps Engineer (Azure) Location: Ahmedabad, Gujarat Experience: 3–5 Years of Experience Immediate joiner will be preferred. Job Summary: We are seeking a skilled and proactive MLOps Engineer with strong experience in the Azure ecosystem to join our team. You will be responsible for streamlining and automating machine learning and data pipelines, supporting scalable deployment of AI/ML models, and ensuring robust monitoring, governance, and CI/CD practices across the data and ML lifecycle. Key Responsibilities: MLOps: · Design and implement CI/CD pipelines for machine learning workflows using Azure DevOps, GitHub Actions, or Jenkins. · Automate model training, validation, deployment, and monitoring using tools such as Azure ML, MLflow, or KubeFlow. · Manage model versioning, performance tracking, and rollback strategies. · Integrate machine learning models with APIs or web services using Azure Functions, Azure Kubernetes Service (AKS), or Azure App Services. DataOps: · Design, build, and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure Data Factory, Synapse Pipelines, or Apache Airflow. · Ensure data quality, lineage, and governance using Azure Purview or other metadata management tools. · Monitor and optimize data workflows for performance and cost efficiency. · Support batch and real-time data processing using Azure Stream Analytics, Event Hubs, Databricks, or Kafka. Required Skills: · Strong hands-on experience with Azure Machine Learning, Azure Data Factory, Azure DevOps, and Azure Storage solutions. · Proficiency in Python, Bash, and scripting for automation. · Experience with Docker, Kubernetes, and containerized deployments in Azure. · Good understanding of CI/CD principles, testing strategies, and ML lifecycle management. · Familiarity with monitoring, logging, and alerting in cloud environments. · Knowledge of data modeling, data warehousing, and SQL. Preferred Qualifications: · Azure Certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate, or Azure DevOps Engineer Expert). · Experience with Databricks, Delta Lake, or Apache Spark on Azure. · Exposure to security best practices in ML and data environments (e.g., identity management, network security). Soft Skills: · Strong problem-solving and communication skills. · Ability to work independently and collaboratively with data scientists, ML engineers, and platform teams. · Passion for automation, optimization, and driving operational excellence.