Production Cleaning Specialist in India

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

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

At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Job Summary - To manage travel and expense reimbursement of employees in an organization and ensure timely payments of all expense claims. Key responsibilities - Educate employees about travel program policies and correct procedures. Verification of T&E Expense claims in Macanomy. Reconciliation and Clearing of T&E GL accounts and month end accrual reports. Posting of Macanomy claims and preparing Reconciliation file and sharing with the Payment team. Employee profile creation and Modifications. Service now tool query handling. Monitoring generic mailbox and follow up with employees. Amex reconciliation file and sending inputs to process payments as per deadlines. Monitoring Generic Mailbox. Report generation and Allocation within the team on daily basis. Skills/Experience Minimum 4-6 years of experience in Travel & Expense – Accounts Payable. Bcom Graduate. Should be an experienced problem solver with excellent written and verbal communication skills. Flexible attitude to achieve results. Excell

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Job Title Production Planner Job Description Production Planner Your Role: Job Responsibilities: • Ensures on-time delivery of customer orders by managing the quality of planning-related master data in close cooperation with Enterprise Information Management (EIM). • Generates a feasible/final Master Production Schedule (MPS) from the Initial/semi-final MPS provided by the Supply Planning function. • Develops a feasible Detailed Production Schedule (DPS) and Material Requirements Plan (MRP) from the MPS while minimizing changeover times in collaboration with Production/Operations Management. • Works diligently to optimize the utilization of both workforce and equipment, strategizing to enhance efficiency and productivity across production operations. • Coordinates planning-related master data in concert with Enterprise Information Management (EIM), ensuring data integrity and consistency to facilitate effective decision-making. • Releases meticulously crafted production schedules to the shop floor, ensuring that operational activities align seamlessly with organizational objectives and priorities. • Facilitates regular and structured planning handshake meetings with Production/Operations Management, fostering open communication channels to address challenges, align priorities, and drive operational excellence. • Engages in troubleshooting production orders and materials, promptly identifying and resolving issues to maintain operational continuity and uphold delivery commitments. You Are a Great Fit If: • Bachelor’s degree in computer science, Software Engineering, Electronics, Information Technology, or a related engineering discipline. • Minimum 2 years till 5 years of experience in production plant or manufacturing site or equivalent. Exte

Production Engineer is responsible for executing and optimizing production processes while ensuring quality, safety, and cost efficiency. The role supports daily operations, resource planning, and reporting to ensure seamless and effective precast production. Source: Adani Group | Job ID: 58548

Production Engineer is responsible for executing and optimizing production processes while ensuring quality, safety, and cost efficiency. The role supports daily operations, resource planning, and reporting to ensure seamless and effective precast production. Source: Adani Group | Job ID: 58546

Job description Production Operator / Food Production Assistant 工厂员工 (AIR CON, WALKING DISTANCE FROM PAYA LEBAR MRT) Job Description & Requirements RESPONSIBILITIES • Pack fruits and assist with fruit juice production • Check the quality of all food items to ensure they meet food safety standards. • Maintain cleanliness of the workplace. • Able to work in a clean and cool food production environment. • Assist with other ad hoc duties as required. QUALIFICATIONS • No experience needed (training provided). • Seniors are welcome to apply. • Must be comfortable standing while working. WORKING HOURS • Monday to Friday: 9:00 AM 6:00 PM • Saturday: 8:00 AM 12:00 PM (Half Day) • Sunday: Off • 5.5-day work week 职位描述 工作职责 • 负责水果及果汁产品的包装工作 • 检查食品质量 并进行品质控制 确保符合食品安全标准 • 保持工作场所整洁 卫生 • 能够适应食品生产环境 环境干净 凉爽 • 根据工作需要 协助完成其他临时安排的工作 任职要求 • 无需相关工作经验 公司提供培训 • 欢迎乐龄人士申请 • 能够接受长时间站立工作 工作时间 • 星期一至星期五 上午9:00至下午6:00 • 星期六 上午8:00至中午12:00 半天 • 星期日 休息 • 工作制度 每周工作5天半 5.5天工作制

Job description Description:- • Operation of machinery to produce food products as assigned. • Produce, pack, and consolidation of food items as required by orders from clients. • Ensure the overall cleanliness of the factory and operating areas. • Follow instruction and produce products according to target given and quality. • Maintain good manufacturing practices and ensure the factory cleanliness. • Ensure the overall cleanliness of the factory and operating areas • Be responsible for simple maintenance tasks • Any other job duties as assigned by your immediate superior. Job Requirements:- • Interest in the food industry • Poses good team spirit • Good team player with adequate communication and people skills, and able to interact effectively • Self-motivated and able to work independently • Punctual with a positive attitude towards work • Working location is at Woodlands

1.Line Management: Assign daily tasks to machine operators, balance workflow across stations, and track output against daily goals. 2.Quality Control: Check stitches and garment cuts at each stage, coordinate with quality inspectors, and reduce defect rates. 3.Team Leadership: Train new or low-skill operators, monitor worker attendance, and enforce factory discipline.

Production Engineer is responsible for executing and optimizing production processes while ensuring quality, safety, and cost efficiency. The role supports daily operations, resource planning, and reporting to ensure seamless and effective precast production. Source: Adani Group | Job ID: 55790

The job purpose of a Cluster Manager - PECVD in cell process is to optimize and innovate Plasma-Enhanced Chemical Vapor Deposition (PECVD) processes. This includes improving thin film deposition techniques, implementing advanced technologies, ensuring high-quality standards, managing resources efficiently, and enhancing competitiveness in the solar energy sector. Design DOEs for Layer thickness & RI, BOM. Circulate within team and complete task within specific time interval. Source: Adani Group | Job ID: 53054

Production Engineer is responsible for executing and optimizing production processes while ensuring quality, safety, and cost efficiency. The role supports daily operations, resource planning, and reporting to ensure seamless and effective precast production. Source: Adani Group | Job ID: 53409