5 Manufacturing Kpis Jobs

Fluence, a Siemens and AES company, is the leading global energy storage technology solutions and services company that combines the agility of a fast-growing technology company with the expertise, vision, and financial backing of two industry powerhouses. Building on the pioneering work of AES Energy Storage and Siemens energy storage, Fluences goal is to create a more sustainable future by transforming the way we power our world. The company offers proven energy storage technology solutions designed to address the diverse needs and challenges of customers in a rapidly transforming energy landscape, providing design, delivery and integration in over 160 countries. Fluence works closely with customers throughout their journey and provides advisory, financing, and project lifecycle services. Assist {AME Project Manager} with NPI (new product introduction) tasks related to the design and launch of new manufacturing production lines. Coordinate prototype manufacturing activities including prototyping, purchasing/logistics, schedule, budget, etc. Create and maintain AME deliverables related to new production such as PFD, PFMEA, QCP, manufacturing BOMs, etc. Participate in design reviews and DFA/DFM reviews to influence design regarding manufacturability. Serve as liaison between contract manufacturer (CM), engineering, and procurement when developing component packaging requirements. Develop and track manufacturing KPIs in support of company goals/initiatives. Support company initiatives including, but not limited to, cost reduction and quality targets. Travel 25-50% time depending on stage of production maturity; to include possible international travel. Other tasks as necessary at the discretion of {AME Project Manager} or AME Management. The successful candidate will have broad and deep experience within product development and manufacturing within an OEM and/or Tier I supplier community. Experience in a manufacturing or process engineering role. Hands-on experience in a manufacturing environment, particularly with high volume, low-mix production. Preferred qualifications include experience in a manufacturing NPI role, knowledge of manufacturing metrics such as OEE and yield, and experience establishing or tracking KPIs. Knowledge of quality methods and requirements including APQP or stage gate release processes, ISO9001, TS16949, and global OEM development systems. Bachelor's Degree in Mechanical, Electrical, or Industrial Engineering or equivalent education. Ability to travel to CM locations with little advanced notice.,

Req ID: 328025 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Specialist to join our team in Bangalore, Karntaka (IN-KA), India (IN). Experience: 4-6 years Key Responsibilities: . Build machine learning models to predict asset health, process anomalies, and optimize operations. . Work on sensor data pre-processing, model training, and inference deployment. . Collaborate with simulation engineers for closed-loop systems. Skills Required: . Experience in time-series modeling, regression/classification, and anomaly detection. . Familiarity with Python, scikit-learn, TensorFlow/PyTorch. . Experience with ML Ops on Azure ML, Databricks, or similar. . Understanding of manufacturing KPIs (e.g., OEE, MTBF, cycle time). About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Role Overview ? We are looking for a proactive and detail-oriented Shift Incharge to lead production operations in a fast-paced manufacturing environment. The ideal candidate will be from a mechanical, electrical, or food technology background and will have 25 years of hands-on experience in production or plant operations. This role requires the ability to manage people, processes, and ensure adherence to quality and safety standards during shifts. Responsibilities We are looking for a proactive and detail-oriented Shift Incharge to lead production operations in a fast-paced manufacturing environment. The ideal candidate will be from a mechanical, electrical, or food technology background and will have 25 years of hands-on experience in production or plant operations. This role requires the ability to manage people, processes, and ensure adherence to quality and safety standards during shifts. What Youll Do Supervise and manage all production activities during the assigned shift Ensure smooth functioning of manufacturing processes with minimum downtime Coordinate with maintenance, quality, and stores teams to maintain productivity targets Monitor production KPIs and implement improvements to increase efficiency Maintain documentation for shift-wise production, manpower allocation, and incidents Train and guide operators and technicians on SOPs, safety protocols, and quality standards Conduct shift handovers and ensure continuity between shifts Ensure compliance with safety, hygiene, and regulatory norms in the plant Qualifications B.Tech or BE in Mechanical / Electrical Engineering, Food Technology 25 years of experience in a production or manufacturing setup Good understanding of production processes, machine operations, and shift planning Strong leadership and communication skills to manage floor teams effectively Working knowledge of manufacturing KPIs and lean practices Ability to troubleshoot production issues and take timely corrective actions Familiarity with ERP systems and MS Office tools is a plus Show more Show less

NTT DATA is looking for a Systems Integration Specialist to join their team in Bangalore, Karntaka (IN-KA), India. As a Systems Integration Specialist, your main responsibility will be to build machine learning models for predicting asset health, process anomalies, and optimizing operations. You will also work on sensor data pre-processing, model training, and inference deployment. Collaboration with simulation engineers for closed-loop systems will also be a part of your role. The ideal candidate should have 4-6 years of experience and possess the following skills: - Experience in time-series modeling, regression/classification, and anomaly detection. - Familiarity with Python, scikit-learn, TensorFlow/PyTorch. - Experience with ML Ops on Azure ML, Databricks, or similar. - Understanding of manufacturing KPIs such as OEE, MTBF, and cycle time. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in more than 50 countries and a strong partner ecosystem, NTT DATA offers services including business and technology consulting, data and artificial intelligence solutions, industry-specific offerings, as well as development, implementation, and management of applications, infrastructure, and connectivity. As a part of the NTT Group, which invests significantly in R&D, NTT DATA is at the forefront of digital and AI infrastructure globally. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive and forward-thinking organization, consider applying to NTT DATA for the Systems Integration Specialist role.,

As an AI/ML Specialist, you will be responsible for building intelligent systems utilizing OT sensor data and Azure ML tools. Your primary focus will be collaborating with data scientists, engineers, and operations teams to develop scalable AI solutions addressing critical manufacturing issues such as predictive maintenance, process optimization, and anomaly detection. This role involves bridging the edge and cloud environments by deploying AI solutions to run effectively on either cloud platforms or industrial edge devices. Your key functions will include designing and developing ML models using time-series sensor data from OT systems, working closely with engineering and data science teams to translate manufacturing challenges into AI use cases, implementing MLOps pipelines on Azure ML, and integrating with Databricks/Delta Lake. Additionally, you will be responsible for deploying and monitoring models at the edge using Azure IoT Edge, conducting model validation, retraining, and performance monitoring, as well as collaborating with plant operations to contextualize insights and integrate them into workflows. To qualify for this role, you should have a minimum of 5 years of experience in machine learning and AI. Hands-on experience with Azure ML, ML flow, Databricks, and PyTorch/TensorFlow is essential. You should also possess a proven ability to work with OT sensor data such as temperature, vibration, flow, etc. A strong background in time-series modeling, edge inferencing, and MLOps is required, along with familiarity with manufacturing KPIs and predictive modeling use cases.,