Staff Brand Designer in India

HK Staff for site Address: & 34 A-501 502&1001 B-1202-202/ C-1102-1201 Maitri Apartment Kurla CST Road near Hare Krishna Hotel Kalina Santacruz East& 34 Facility: HINDALCO INDUSTRIES - GH Qualification: 12th Experience: 4 - 5 years Source: Sodexo India | Job Code: IJP568494

We Need Experience HK staff Address: Plot 3 Jigani Link Road Bommasandra Industrial Area Bangalore Facility: CARL ZEISS - BANGALORE - IFM SERVICES Qualification: Not Specified Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP575212

We need experience HK staff Address: Carl Zeiss India (Bangalore) Pvt. Ltd. Bluenest Exora Business Park Eelctra Building Wing A 4th Floor Kadubeesanahalli Bengaluru Karnataka Facility: CARL ZEISS - BANGALORE - IFM SERVICES Qualification: Not Specified Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP575265

We Need Experience HK staff Address: Plot 3 Jigani Link Road Bommasandra Industrial Area Bangalore Facility: CARL ZEISS - BANGALORE - IFM SERVICES Qualification: Not Specified Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP575211

We Need Experience HK staff Address: Plot 3 Jigani Link Road Bommasandra Industrial Area Bangalore Facility: CARL ZEISS - BANGALORE - IFM SERVICES Qualification: Not Specified Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP575210

The Lead/Operational Support Staff - Boiler Chemistry will be responsible for monitoring, controlling, and optimizing boiler water chemistry, steam-water cycle chemistry, and Flue Gas Desulphurization (FGD) process chemistry to ensure safe, reliable, and efficient plant operation. The role involves chemical analysis, operational support, troubleshooting, environmental compliance, and adherence to power plant chemistry standards. Source: Adani Group | Job ID: 57499

Dear Team We need experience Pantry staff Address: Plot no. 237 to 245 & 253 to 257 Hitech Defense & Aerospace Park Phase 2 Haraluru Industrial Area Devanahalli Taluk Facility: CARL ZESIS IFM Services -Blue bird Qualification: Not Specified Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP576088

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

All Kitchen Operation Cost Menu Planning Staff Brief Address: Tata Communications ltd., Alandi Road, Dighi, Dist Pune. Pin - 411015 Facility: TATA COMMUNICATIONS - DIGHI Qualification: Graduate Experience: 3 - 7 years Source: Sodexo India | Job Code: IJP574136

Assists the Head Chef in managing kitchen operations supervising staff maintaining food quality hygiene and ensuring timely food preparation and service. Address: Village Jamrung Post Ambivali Taluka Karjat Dist Raigad Maharashtra Facility: HOME CATERING SERVICES - FS MUMBAI Qualification: 12th Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP576517

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

We are seeking a highly skilled and experienced Staff Network Site Reliability Engineer (SRE) to join our Enterprise Network Operations and SRE team. In this role, you will be pivotal in implementing our vision for a reliable and efficient network infrastructure. The ideal candidate is passionate about network operations and committed to enhancing the user experience. You'll have the opportunity to solve complex network challenges using hands-on debugging and by focusing on network automation, observability, documentation, and operational excellence. This is a critical position focused on ensuring user satisfaction and brilliance in network operations. What you'll be doing: Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability, actively working on network incidents and service requests. Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards. Advocating for and implementing automation to reduce toil and improve operational efficiency. Minimizing manual operational tasks to achieve and maintain Service Level Objectives (SLOs). Monitoring network performance, identifying areas for improvement, and collaborating with relevant teams to implement refinements. Proactively identifying and mitigating network risks to promote continuous improvement. Collaborating with domain experts across functions to resolve production issues swiftly and effectively, ensuring customer happiness. Conducting blameless postmortems and following through on Root Cause Analyses (RCAs). Discovering opportunities for operational improvements and teaming up with colleagues to devise solutions that enhance excellence and sustainability in network operations. Developing knowledge base articles for automa

Housekeeper is responsible for maintaining a clean safe hygienic and welcoming environment for students teachers staff and visitors. Key duties include Cleaning and sanitizing classrooms laboratories libraries offices corridors staircases and washrooms. Sweeping mopping dusting vacuuming and polishing floors and surfaces. Emptying waste bins and ensuring proper waste segregation and disposal. Address: Aditya Birla World Academy ,Gamadia Colony,Near tardeo PO,Mumbai Facility: ADITYA BIRLA WORLD ACADEMY- FM Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568383

Housekeeper is responsible for maintaining a clean safe hygienic and welcoming environment for students teachers staff and visitors. Key duties include Cleaning and sanitizing classrooms laboratories libraries offices corridors staircases and washrooms. Sweeping mopping dusting vacuuming and polishing floors and surfaces. Emptying waste bins and ensuring proper waste segregation and disposal. Address: Aditya Birla World Academy ,Gamadia Colony,Near tardeo PO,Mumbai Facility: ADITYA BIRLA WORLD ACADEMY- FM Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568382

Housekeeper is responsible for maintaining a clean safe hygienic and welcoming environment for students teachers staff and visitors. Key duties include Cleaning and sanitizing classrooms laboratories libraries offices corridors staircases and washrooms. Sweeping mopping dusting vacuuming and polishing floors and surfaces. Emptying waste bins and ensuring proper waste segregation and disposal. Address: Aditya Birla World Academy ,Gamadia Colony,Near tardeo PO,Mumbai Facility: ADITYA BIRLA WORLD ACADEMY- FM Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568384