4.0 - 9.0 years

4 - 9 Lacs

Noida, Uttar Pradesh, India

On-site

Model Deployment and Management: Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. Monitor real-time performance of deployed models, analyze data, and proactively address performance issues. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability. Collaboration and Integration: Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated deployment. Innovation and Continuous Improvement: Stay updated with the latest advancements in MLOps technologies and recommend new tools and techniques. Contribute to the continuous improvement of team processes and workflows. Share knowledge and expertise to promote a collaborative learning environment. Development and Documentation: Build software to run and support machine-learning models. Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes. Participate in fast iteration cycles and adapt to evolving project requirements. Business Solutions and Strategy: Propose solutions and strategies to business challenges. Collaborate with Data Science team, Front End Developers, DBA, and DevOps teams to shape architecture and detailed designs. Mentorship: Conduct code reviews and mentor junior team members. Foster strong interpersonal skills, excellent communication skills, and collaboration skills within the team. Mandatory Skills: Programming Languages: Proficiency in Python (3.x) and SQL. ML Frameworks and Libraries: Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Databases: Proficiency in SQL and NoSQL databases. Mathematics and Algorithms: In-depth knowledge of mathematics, statistics, and algorithms. ML Modules and REST API: Proficient with ML modules and REST API. Version Control: Hands-on experience with version control applications (GIT). Model Deployment and Monitoring: Experience with model deployment and monitoring. Data Processing: Ability to turn unstructured data into useful information (e.g., auto-tagging images, text-to-speech conversions). Problem-Solving: Analytically agile with strong problem-solving capabilities.

Posted 2 days ago

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SharePoint Online, SPFX, Power Apps, Power Automate Fusion Plus Solutions

3.0 - 6.0 years

3 - 12 Lacs

Hyderabad, Telangana, India

On-site

Key Responsibilities: Design, develop, and maintain custom solutions using SharePoint Framework (SPFx). Create and customize responsive Power Apps (Canvas & Model-Driven) to support business processes. Automate workflows using Power Automate (Flow) to streamline business operations. Develop and manage custom SharePoint Online sites, libraries, lists, and web parts. Integrate Microsoft 365 tools and third-party APIs/services into Power Platform solutions. Work closely with business analysts and stakeholders to understand requirements and translate them into technical solutions. Ensure solutions are scalable, secure, and aligned with Microsoft best practices. Provide support, troubleshooting, and performance tuning for deployed apps and flows. Create and maintain technical documentation. Required Skills: Strong experience with SharePoint Online development and configuration. Proficiency in SPFx (SharePoint Framework), React JS, TypeScript, and REST APIs. Hands-on experience with Power Apps (Canvas & Model-Driven) and Power Automate. Knowledge of Dataverse, Microsoft Lists, and Teams integration. Familiarity with PnP PowerShell, PowerShell scripting, and SharePoint REST API. Understanding of Microsoft security model, permissions, and governance. Experience in responsive UI/UX design for Microsoft 365 apps.

Posted 3 weeks ago

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