Princeton America

Hiring: Senior Consultant – MS-Dynamics & Power Platform Whitefield, Bengaluru | Experience: 7+ Years | Full-time’re looking for an experienced Senior Consultant to lead development and support for MS-Dynamics 365 and Power Platform solutions. Key Responsibilities: Customize & maintain MS-DynamicsCRM, Build apps with Power App, Power Automate, Integrate APIs &manage backend services, Translate business needs into technical solutions, Handle incidents & support requests. Requirements: Strong hands-on with .NET (mandatory), Experience with Dynamics CRM (workflows, UI, security, SDK), Familiar with Power Platform tools and VSTS. Excellent communication & problem-solving skills Interested? DM me or apply now! Tag someone who might be a great fit. Job Type: Full-time Pay: From ₹1,000,000.00 per year Schedule: Day shift Ability to commute/relocate: Whitefield, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Education: Master's (Required) Experience: Senior Consultant – MS-Dynamics & Power Platform: 7 years (Required) Location: Whitefield, Bengaluru, Karnataka (Preferred) Shift availability: Day Shift (Preferred) Work Location: In person Application Deadline: 09/07/2025

We are hiring Java Full Stack Developer ( React Js.) Location : Chennai Experience : 3+ Years We are looking for immediate joiners only Any Graduate BE / B.Tech /BSc. /MCA Key skills: Java, Spring, Spring Boot, SQL, Microservices, Rest API, React JS, DOM •Strong proven hands on working experience in Java development. •Hands on experience in designing and developing applications using Java EE platforms. •Object Oriented analysis and design using common design patterns. •Profound insight of Java and JEE internals (Class loading, Memory Management, Transaction management etc) •Hands on in Spring boot, microservices, Rest API, collections, multithreading, algorithms, design patterns, ReactJS, JavaScript, html,css •Good in Troubleshooting and problem solving. •Excellent knowledge of Relational Databases, SQ

As an ML Ops Engineer at Emerson, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, from deployment to monitoring and maintenance. You will work closely with data scientists, machine learning engineers, and development teams to ensure that ML models are effectively integrated into production systems and deliver high performance. In this Role, Your Responsibilities Will Be: Deploy and manage machine learning models in production environments, ensuring they are scalable, reliable, and performant. Design and implement CI/CD (Continuous Integration/Continuous Deployment) pipelines for ML models to streamline development and deployment processes. Develop and maintain the infrastructure required for model deployment, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud services (e.g., AWS, Google Cloud, Azure). Monitor the performance of deployed models, troubleshoot issues, and perform regular maintenance to ensure models remain accurate and effective. Ensure that model deployment and data handling comply with security and regulatory requirements. Implement best practices for data privacy and protection. Create and maintain documentation for deployment processes, model performance, and system configurations. Provide clear and comprehensive reports to stakeholders. Identify and implement improvements to model performance, deployment processes, and infrastructure efficiency. Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective Who You Are: You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach. For This Role, You Will Need: Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. Total 7+ years of industry experience More than 3 years of experience in ML Ops, DevOps, or a related role, with a solid understanding of deploying and managing machine learning models in production environments. Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes). Familiarity with cloud services Azure and AWS and their ML offerings Experience with CI/CD tools and practices for automating deployment pipelines (e.g., Azure Pipeline, Azure DevOps). Experience with monitoring and logging tools to track model performance and system health.

You will be joining a contract on-site position as a .NET Full Stack Developer with Angular in Fremont, CA. Your responsibilities will include designing and developing front-end and back-end components, integrating APIs, and ensuring the performance, quality, and responsiveness of applications. You will play a key role in building user interfaces with Angular, managing server-side logic with .NET, and collaborating with cross-functional teams to define, design, and implement new features. To excel in this role, you should have proficiency in Back-End Web Development and .NET, along with experience in Front-End Development using Angular and CSS. Strong skills in Software Development and Full-Stack Development are essential, as well as excellent problem-solving and debugging abilities. A solid understanding of RESTful APIs and web services will be beneficial for this position. Furthermore, you should be comfortable working collaboratively in an on-site team environment. A Bachelor's degree in Computer Science, Engineering, or a related field is required. Any prior experience in the relevant industry or sector will be considered a plus.,

Company Description Princeton America helps IT organizations operate more productively and profitably through specialized staffing and project implementation services. We specialize in Systems Integration/EAI, ERP Functionality Extension, Business/Data Warehousing, Sales Force Automation/CRM, Middleware Functionality Templates, and Custom Application Development. Our services cater to vertical markets including telecommunications, healthcare, financial services, insurance, and energy by delivering qualified consultants and project managers for contract and ongoing requirements across all science and technology disciplines. Role Description This is a full-time, on-site role located in Bengaluru for an MLOps Engineer. The MLOps Engineer will be responsible for managing machine learning models, developing and maintaining infrastructure, supporting deployment and operations for ML models, and collaborating with data scientists and IT teams. Additional tasks include automating workflows, monitoring performance, and ensuring system availability and scalability. Qualifications Experience in Mechanical Engineering and Machine Design Proficiency in Computer-Aided Design (CAD) tools Skills in Project Management and Research and Development (R&D) Familiarity with deploying, monitoring, and maintaining machine learning models Excellent problem-solving skills and the ability to work collaboratively Bachelor&aposs degree in Engineering, Computer Science, or related field Experience in IT or a similar role is advantageous Show more Show less

Company Description Princeton America assists IT organizations in enhancing productivity and profitability through a wide range of specialized staffing and project implementation services. We specialize in Systems Integration/EAI, ERP Functionality Extension, Business/Data Warehousing, Sales Force Automation/CRM, Middleware Functionality Templates, and Custom Application Development. Serving vertical markets such as telecommunications, healthcare, financial services, insurance, and energy, we provide highly qualified consultants and project managers for both contract and ongoing requirements across all science and technology disciplines. Role Description This is a full-time on-site role for an AI Tester located in Pune. The AI Tester will be responsible for developing and executing test plans and test cases for AI systems, identifying issues and debugging errors, collaborating with development teams to improve product quality, and ensuring compliance with established processes and standards. Qualifications Experience in developing test plans, test cases, and test strategies Proficiency in debugging and troubleshooting issues Strong understanding of AI systems and machine learning models Ability to collaborate effectively with development teams Knowledge of software development methodologies and best practices Excellent analytical, problem-solving, and communication skills Prior experience in working on AI-related projects is a plus Bachelor's degree in Computer Science, Information Technology, or a related field

Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! Job Summary: As an AI/ML Architect at Emerson, you will be responsible for designing and guiding the implementation of scalable, high-performance AI/ML architectures. You will work closely with developers, data scientists, engineers, and other stakeholders to ensure that our AI/ML solutions meet business needs and technological standards. In This Role, Your Responsibilities Will Be: Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions. Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration. Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance. Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance. Work with cross-functional teams, including developers, data scientists, machine learning engineers, and business stakeholders, to understand requirements and design solutions that align with business objectives. Create and maintain comprehensive documentation for AI/ML architectures, including design specifications, deployment procedures, and best practices. Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective Ensure that AI/ML systems comply with security standards and regulatory requirements. Implement best practices for data privacy and protection. For This Role, You Will Need: Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. Total 10-15 years of industry experience More than 3 years of experience in designing and implementing AI/ML architectures, with a proven track record of successful projects. Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools. Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing. Experience with Microsoft Azure cloud services and their AI/ML offerings Experience with event-handling systems such as Kafka Experience with big data technologies and data engineering practices. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications that Set You Apart: Prior experience in development of products is essential. Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have Experience with AI/ML model versioning and life cycle management. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Knowledge of AI ethics and responsible AI practices.