AI/ML Engineer-(Azure AI Services)- Remote Job description We are hiring for a AI/ML Engineer with expertise in LLM Architecture , Azure Open AI services The ideal candidate will have experience leveraging pre-trained OpenAI models, applying prompt engineering, and deploying AI solutions in production environments. You will be responsible for Architecture, building, managing, and deploying scalable AI services using Python (FastAPI/Flask) and Azure technologies, with a focus on document processing, AI workflows, and operational excellence. Location- Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

Develop and deploy AI services using Azure OpenAI model, optimizing them for various use cases. Implement prompt engineering to maximize the effectiveness of generative models for business applications. Build, deploy, and manage AI/ML models using Azure ML Studio, ensuring seamless integration into production environments. Design and maintain scalable APIs using FastAPI or Flask for integrating AI services into applications. Leverage Azure Document Intelligence to create solutions for automated document processing and data extraction. Ensure efficient deployment, scaling, and management of AI services in Azure, focusing on performance and cost optimization.

AI/ML Engineer Primary Skill LLM Architecture , Azure Open AI Secondary Skill Python Programming AI/ML Engineer-(Azure AI Services)- Remote Job description We are hiring for a AI/ML Engineer with expertise in LLM Architecture , Azure Open AI services, The ideal candidate will have experience leveraging pre-trained OpenAI models, applying prompt engineering, and deploying AI solutions in production environments. You will be responsible for Architecture, building, managing, and deploying scalable AI services using Python (FastAPI/Flask) and Azure technologies, with a focus on document processing, AI workflows, and operational excellence. Key Responsibilities: Develop and deploy AI services using Azure OpenAI model, optimizing them for various use cases. Implement prompt engineering to maximize the effectiveness of generative models for business applications. Build, deploy, and manage AI/ML models using Azure ML Studio, ensuring seamless integration into production environments. Design and maintain scalable APIs using FastAPI or Flask for integrating AI services into applications. Leverage Azure Document Intelligence to create solutions for automated document processing and data extraction. Ensure efficient deployment, scaling, and management of AI services in Azure, focusing on performance and cost optimization. Collaborate with teams to deliver AI solutions that meet business needs and improve automation workflows. Utilize Azure tools, including ML Studio, for monitoring, managing, and continuously optimizing AI models and services. Stay up-to-date with advancements in Generative AI, cloud-based AI deployment, and best practices for AI service management. Qualifications 8+ years working experience as a technical engineer and architect. 5+ years hands on experience with Azure Proficiency in Python and API development using FastAPI or Flask, with experience in scalable AI service deployment Strong knowledge of different machine learning algorithms. Deep Learning: Proficiency in deep learning techniques and frameworks Machine Learning: Strong understanding of traditional machine learning algorithms and their applications. Hands on experience with AI Studio, Open AI, Copilot studio etc. Strong communication skills must be able to describe and explain complex AI/ML concepts and models to business leaders. Strong understanding of Generative AI concepts and LLM Models tailored to a wide variety of automotive applications. Strong documentation skills for model architecture, code, and processes.

Key Responsibilities: Good knowledge Azure and Azure Services like Azure traffic manager, cloudservice , VMSS, Keyvault ARM template Deployments Powershell scripting / other scripting knowledge GIT / GIT Bash AzureDevops CI/CD pipelines Experience on Json, XML files Good knowledge on Windows / Networking Experience with Docker and Kubernetes Mandatory Skills : Azure ARM templates, Docker, Kubernetes and CI/CD pipelines along with python or power shell. C#(Optional) Strong problem-solving and communication skills. Bachelors or masters degree in computer science or related field.

In this highly visible role you will be: - You will excel as you optimize designs to reach ground breaking power, area, timing goals. - Delivery of timing clean, logically equivalent netlists to physical design team. - We will empower you to collaborate with a variety of functional teams to continually question the limitations of technology. Position Description: STA (static timing analysis), Verilog/VHDL, and Synthesis will serve you well on our team. Showcase your deep understanding of the following physical design concepts/constraints: floor-planning, placement, congestion, and setup/hold timing closure. Embrace technical challenges with your natural passion to innovate. Ability to collaborate effectively with different functional teams and strong written/verbal communication. Ability to optimize designs for best in class in low power and high performance with logically equivalent RTL transforms. Professional experience with ECO implementation, both functional and timing closure. Familiarity with simulation, debugging tools, and working closely with DV team. Experience with multi-clock and multi-power domain designs. Familiarity with DFT insertion, and multi-mode timing constraints. Position Requirements: Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science or equivalent Experience with full-chip static timing analysis through tapeout, gate level simulations, and Functional ECO implementation with Automated flows

Multi-platform, end-to-end experience across a wide spectrum of cloud technologies in Azure, with knowledge of building solutions with Dynamics 365 and Dataverse. Proficiency in .NET and C#. Experience with Azure Functions, Logic Apps, App Insights logging, and Geneva logging. Extensive experience delivering Power Platform solutions (Power Apps, Power Automate, Power BI). In-depth knowledge of Dynamics 365 CE customization, configuration, and development. Expertise in building Model-Driven Apps, Canvas Apps, and leveraging Low-Code Development capabilities in Power Platform. Strong understanding of Dataverse architecture, security roles, and relationships to design scalable solutions. Experience integrating Power Platform applications with external systems and APIs using custom connectors and Azure services. Proficiency in implementing Power Automate flows for business process automation and workflow optimization. Knowledge of PCF (PowerApps Component Framework) controls for extending app functionality. Experience in ALM (Application Lifecycle Management) for Power Platform, including solution management and environment strategies. Experience with CI/CD pipelines (e.g. Azure Pipelines).

Multi-platform, end-to-end experience across a wide spectrum of cloud technologies in Azure, with knowledge of building solutions with Dynamics 365 and Dataverse. Experience delivering Power Platform solutions (Power Apps, Power Automate, Power BI) with both technical and functional expertise. Strong understanding of Model-Driven Apps, Canvas Apps, and leveraging Low-Code Development capabilities in Power Platform. Deep functional and technical knowledge of Dataverse architecture, including tables, relationships, business rules, security roles, and data modeling. Experience working with Solutions & Solution Packaging for Application Lifecycle Management (ALM) in Power Platform. Candidate should have knowledge on PPAC (Power Platform Admin Center), Package and Solution Creation , Deployments, Canonical Pipelines, Manual Deployments Expertise in Power Automate for business process automation, approvals, and system integrations. Experience integrating Power Platform applications with external systems and APIs using custom connectors, Azure services, and Dataverse Web APIs. Strong experience in PCF (PowerApps Component Framework) controls development to enhance UI/UX in Model-Driven Apps. Knowledge of Microsoft Copilot Studio for copilot solutions and Power Pages for external-facing applications. Ability to gather business requirements, translate them into functional designs, and implement end-to-end solutions in Power Platform and Dynamics 365 CE. Strong troubleshooting skills in Power Platform, Dataverse, and Dynamics 365 CE, including debugging, monitoring, and optimizing performance. Experience with role-based access control (RBAC), data governance, and compliance in Power Platform environments. Excellent communication skills for interacting with stakeholders, gathering business needs, and providing user training.

Multi-platform, end-to-end experience across a wide spectrum of cloud technologies in Azure, with knowledge of building solutions with Dynamics 365 and Dataverse. Proficiency in .NET and C#. Experience with Azure Functions, Logic Apps, App Insights logging, and Geneva logging. Extensive experience delivering Power Platform solutions (Power Apps, Power Automate, Power BI). In-depth knowledge of Dynamics 365 CE customization, configuration, and development. Expertise in building Model-Driven Apps, Canvas Apps, and leveraging Low-Code Development capabilities in Power Platform. Strong understanding of Dataverse architecture, security roles, and relationships to design scalable solutions. Experience integrating Power Platform applications with external systems and APIs using custom connectors and Azure services. Proficiency in implementing Power Automate flows for business process automation and workflow optimization. Knowledge of PCF (PowerApps Component Framework) controls for extending app functionality. Experience in ALM (Application Lifecycle Management) for Power Platform, including solution management and environment strategies. Experience with CI/CD pipelines (e.g. Azure Pipelines).

Key Responsibilities: Develop solutions to complex problems that require the regular use of ingenuity and innovation. Must have completed at least 6 end-to-end Migrations as a technical architect at client locations (Preferably in Europe) Design, build and deploy ETL using BODS. Performance optimization and understanding CDS view as a sources for the data extraction. Extract data from legacy systems to SAP or any Databases like Oracle, SQL Server, MySQL, Sybase, Teradata, and others. Lead team(s) in data migration and conversion activities. Identify SAP Data Migration as-is processes and to-be processes. Write and implement Technical Specification / Configuration / Testing documents. Coordinate with business or functional team on ERP business processes and data used for loading. Must have exposure to modern SAP tools like BDC, SAP DMC and updated on latest development in SAP space EXPERIENCE: Minimum of 15 years of experience in SAP Data Conversion and S/4 Hana Migration projects. Experience working in the ETL/Reporting/Business Intelligence applications. SAP BODS skill is a must have. Experience in Data profiling, Data Cleansing, Data Remediation. Functional knowledge in multiple modules FICO, SD, MM, PP, PM, QM, HCM, VC, EWM modules. Client internal external, Stakeholder management Strong working with SQL query tools, understand entity relationship models, SAP Data Model, database relationships, primary, foreign key relationships. Worked on min 15 SAP data migration projects. Completed a minimum of 5 data migration projects (end-to-end) Knowledge in any hyperscalers SAP, Ariba (mandatory) Knowledge in any cloud-based products - SAP(mandatory) Strong Experience and expertise in data validation, verification, and cleansing using any tools. Strong Experience and expertise with SQL performance tuning and monitoring. Ability to read and write complex SQL statements, including multi-table joins, nested queries, and correlated subqueries. Knowledge in any hyperscalers Azure, AWS, Google, Alibaba (preferred not mandatory ) Knowledge in any cloud-based products - Salesforce, others. (preferred) Knowledge in Data Science, python, AI/ML will be an added advantage. (preferred) Ability to collaborate effectively with multiple project teams (Onsite and Offshore) Should have good communication skills and the ability to independently interact with client teams. Strong interpersonal, team building, organizational, and motivational skills. Certification in any of the Data Migration/ETL tools is preferred.

Total Experience : 8 to 10 Years Role : Full Stack - DevOps with AKS + Container App & Cosmos DB Skill set: Full stack C#.net Dev with Azure services, Micro services, CI/CD, Azure DevOps, AKS, Container Apps, Cosmo DB Job Description : Strong experience in C# .Net coding , API Development Experience with Micro services Architecture, CI/CD Pipelines Experience in Azure storage services [Blobs, container, Key vault],Entra ID authentication Experience in Security and Compliance, Infrastructure Management Experience in AKS Container Deployment , Cosmos DB APIs Experience in Troubleshooting Regional Issues, Monitoring Capacity , Automating Scaling and Operational Efficiency Good communication skills

1. Strong experience in C# .Net coding , API Development 2. Experience with Micro services Architecture, CI/CD Pipelines 3. Experience in Azure storage services [Blobs, container, Key vault],Entra ID authentication 4. Experience in Security and Compliance, Infrastructure Management 5. Experience in AKS Container Deployment , Cosmos DB APIs 6. Experience in Troubleshooting Regional Issues, Monitoring Capacity , Automating Scaling and Operational Efficiency 7. Good communication skills. Location - REMOTE.

Position Overview We are seeking an experienced QA Automation Engineer with 4 to 6years of hands-on experience in automated testing of .NET applications. The ideal candidate will have a strong background in developing robust test automation frameworks and implementing comprehensive test strategies for complex enterprise applications. Key Responsibilities Design and develop advanced test automation frameworks using C# and .NET Create and maintain automated test suites for web, desktop, and API testing Lead test strategy development and implementation for complex projects Perform thorough regression testing and analyze test results Identify and document software defects with detailed reproduction steps Collaborate with developers to improve application testability Mentor junior QA engineers on automation best practices Participate in code reviews of test automation scripts Drive continuous improvement in testing processes and tools Required Technical Skills 4-6 years of QA automation experience with .NET applications Strong proficiency in C# and .NET testing frameworks Expert knowledge of Selenium WebDriver with C# Experience with API testing tools (Postman, RestSharp) Proficiency in test automation frameworks: o MSTest/NUnit/xUnit o SpecFlow for BDD o Selenium WebDriver o Playwright for modern web testing Strong experience with CI/CD tools (Azure DevOps, Jenkins) Expertise in API testing and web services (REST, SOAP) Proficiency in SQL for test data management Experience with version control systems (Git) Additional Technical Requirements Understanding of test automation design patterns Experience with performance testing tools (JMeter/K6) Knowledge of mobile testing frameworks Familiarity with containerization (Docker) Experience with cloud testing (Azure/AWS) Understanding of security testing principles Required Professional Skills Strong analytical and problem-solving abilities Excellence in test case design and test planning Experience with Agile/Scrum methodologies Strong documentation and reporting skills Ability to manage multiple testing projects Excellent communication skills with stakeholders Technical Expertise Areas End-to-end test automation Database testing Performance testing API automation Cross-browser testing Mobile application testing Continuous integration testing Test data management Defect lifecycle management Preferred Qualifications ISTQB certification Experience with test management tools Knowledge of DevOps practices Experience with accessibility testing Bachelor's degree in Computer Science or related field Experience with microservices testing What We're Looking For A hands-on QA engineer who enjoys automation Detail-oriented professional with strong debugging skills Self-motivated individual who drives quality improvements Team player who can mentor junior QA engineers Professional who can bridge development and testing effectively

Position Overview We are seeking an experienced .NET Developer with 4-6 years of hands-on development experience to join our team. The ideal candidate will have a proven track record of delivering complex enterprise applications and maintaining high-performance systems. Key Responsibilities Design and implement scalable applications using .NET Framework Lead technical design discussions and architect solutions for complex business problems Write clean, maintainable, and well-tested code Review code and mentor junior developers Troubleshoot and resolve complex technical issues in production environments Collaborate with cross-functional teams to deliver high-quality solutions Participate in Agile ceremonies and contribute to sprint planning Optimize application performance and improve existing codebases Required Technical Skills 4-6 years of hands-on experience in .NET development (.NET Core, C#) Strong expertise in ASP.NET Core MVC/Web API development Proficient in SQL Server and writing complex SQL queries Deep understanding of object-oriented programming principles Experience with Entity Framework Core and LINQ Strong knowledge of design patterns and software architecture principles Expertise in JavaScript/TypeScript and modern frontend frameworks (Angular/React) Experience with microservices architecture and containerization (Docker) Proficient in version control systems (Git) Strong understanding of CI/CD pipelines Additional Required Skills Advanced problem-solving and analytical abilities Experience with Agile/Scrum methodologies Strong communication and team collaboration skills Proven ability to mentor junior developers Experience in performance tuning and optimization Track record of delivering complex projects on time Preferred Qualifications Experience with cloud platforms (Azure/AWS) Knowledge of message queuing systems (RabbitMQ/Azure Service Bus) Understanding of DevOps practices Experience with test-driven development (TDD) Contributions to open-source projects Bachelor's degree in Computer Science or related field What We're Looking For A hands-on developer who enjoys coding and solving complex problems Self-motivated individual with a passion for technology Team player with excellent collaboration skills Someone who stays current with the latest .NET ecosystem developments Problem solver who can think critically and make sound technical decisions Professional who can communicate effectively with both technical and non-technical stakeholders

Multi-platform, end-to-end experience across a wide spectrum of cloud technologies in Azure, with knowledge of building solutions with Dynamics 365 and Dataverse. Experience delivering Power Platform solutions (Power Apps, Power Automate, Power BI) with both technical and functional expertise. Strong understanding of Model-Driven Apps, Canvas Apps, and leveraging Low-Code Development capabilities in Power Platform. Deep functional and technical knowledge of Dataverse architecture, including tables, relationships, business rules, security roles, and data modeling. Experience working with Solutions & Solution Packaging for Application Lifecycle Management (ALM) in Power Platform. Candidate should have knowledge on PPAC (Power Platform Admin Center), Package and Solution Creation , Deployments, Canonical Pipelines, Manual Deployments. Expertise in Power Automate for business process automation, approvals, and system integrations. Experience integrating Power Platform applications with external systems and APIs using custom connectors, Azure services, and Dataverse Web APIs. Strong experience in PCF (PowerApps Component Framework) controls development to enhance UI/UX in Model-Driven Apps. Knowledge of Microsoft Copilot Studio for copilot solutions and Power Pages for external-facing applications. Ability to gather business requirements, translate them into functional designs, and implement end-to-end solutions in Power Platform and Dynamics 365 CE. Strong troubleshooting skills in Power Platform, Dataverse, and Dynamics 365 CE, including debugging, monitoring, and optimizing performance. Experience with role-based access control (RBAC), data governance, and compliance in Power Platform environments. Excellent communication skills for interacting with stakeholders, gathering business needs.

Multi-platform, end-to-end experience across a wide spectrum of cloud technologies in Azure, with knowledge of building solutions with Dynamics 365 and Dataverse. Experience delivering Power Platform solutions (Power Apps, Power Automate, Power BI) with both technical and functional expertise. Strong understanding of Model-Driven Apps, Canvas Apps, and leveraging Low-Code Development capabilities in Power Platform. Deep functional and technical knowledge of Dataverse architecture, including tables, relationships, business rules, security roles, and data modeling. Experience working with Solutions & Solution Packaging for Application Lifecycle Management (ALM) in Power Platform. Candidate should have knowledge on PPAC (Power Platform Admin Center), Package and Solution Creation , Deployments, Canonical Pipelines, Manual Deployments. Expertise in Power Automate for business process automation, approvals, and system integrations. Experience integrating Power Platform applications with external systems and APIs using custom connectors, Azure services, and Dataverse Web APIs. Strong experience in PCF (PowerApps Component Framework) controls development to enhance UI/UX in Model-Driven Apps. Knowledge of Microsoft Copilot Studio for copilot solutions and Power Pages for external-facing applications. Ability to gather business requirements, translate them into functional designs, and implement end-to-end solutions in Power Platform and Dynamics 365 CE. Strong troubleshooting skills in Power Platform, Dataverse, and Dynamics 365 CE, including debugging, monitoring, and optimizing performance. Experience with role-based access control (RBAC), data governance, and compliance in Power Platform environments. Excellent communication skills for interacting with stakeholders, gathering business needs/.

Position Description: STA (static timing analysis), Verilog/VHDL, and Synthesis will serve you well on our team. Showcase your deep understanding of the following physical design concepts/constraints: floor-planning, placement, congestion, and setup/hold timing closure. Embrace technical challenges with your natural passion to innovate. Ability to collaborate effectively with different functional teams and strong written/verbal communication. Ability to optimize designs for best in class in low power and high performance with logically equivalent RTL transforms. Professional experience with ECO implementation, both functional and timing closure. Familiarity with simulation, debugging tools, and working closely with DV team. Experience with multi-clock and multi-power domain designs. Familiarity with DFT insertion, and multi-mode timing constraints. Position Requirements: Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science or equivalent Experience with full-chip static timing analysis through tapeout, gate level simulations, and Functional ECO implementation with Automated flows

Key Responsibilities: Ownership of Developing Leads / Client Pipelines from the USA Canada Month-on-Month: Meeting targets End-to-end responsibility for prospect development (Cold calling, LinkedIn, Social Media, Video-Discussions, referrals etc.) Must have hands-on experience and proven successes in Lead Generation for USA Specific to IT Services / Digital Solutions and/or Staffing. MUST own up and deliver impressive client addition targets The position will develop into Front-end sales for USA and Canada, as a Business Development Manager with direct Revenue responsibility and international travels, Relationship Management and Account Mining responsibilities over 2 to 4 years of successful Inside sales performance. Desired Candidate Profile: Should have hands-on experience in lead generation for Digital IT services for the USA market. Ability and experience to get connected at senior management levels of Client Organizations (CEO, CTO, CIO, VP Director levels). Must have good IT/Digital market understanding and connections: Ability to get started quickly Ability to line up discussions for senior management / BD managers Maturity, clarity and experience required with senior connects in organizations from USA Canada Ability and experience of having impressive pitching and positioning at CXO / VP level Must have sound knowledge of Digital Technologies / IT solutions Must have worked in the US region extensively on Digital IT services Candidate must come with high energy enthusiasm and ambitious Good communication skills.

As a DFT Engineer, you will be responsible for developing and implementing Design for Test methodologies for complex VLSI designs. You will ensure the testability and manufacturability of our products by working closely with design, verification, and physical design teams, Responsibilities: Develop and implement DFT architectures and strategies for complex SoC designs. Insert and verify DFT features such as scan chains, Built-In Self-Test (BIST) for memory and logic, and boundary scan (IEEE 1149.1/1149.6). Perform ATPG (Automatic Test Pattern Generation) and analyze coverage metrics to ensure high fault coverage. Collaborate with RTL designers to ensure seamless integration of DFT features into the design. Debug and resolve test-related issues in simulation, silicon validation, and production. Work closely with the physical design team to implement scan and clock constraints for timing closure. Optimize test time, power, and cost without compromising coverage and quality. Participate in silicon bring-up and post-silicon validation activities. Generate and maintain DFT documentation, including test plans, methodologies, and results. Requirements: Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or related field. 4 to 10 years of experience in DFT for VLSI designs. Strong knowledge of DFT methodologies, including ATPG / MBIST / Scan Insertion Verilog/ System Verilog and scripting languages (Python, TCL, Perl). Solid understanding of STA concepts and constraints related to DFT. Experience in debugging silicon and ATE test patterns. Excellent problem-solving skills and ability to work in a collaborative environment. Familiarity with fault diagnosis and yield improvement methodologies. Exposure to advanced nodes (7nm, 5nm, or below) and FinFET technologies. Knowledge of machine learning or AI techniques for test optimization.

Responsibilities Keep platform driver and platform specific software up-to-date. Address security vulnerabilities. Partners with appropriate stakeholders to determine user requirements for a set of scenarios. Leads identification of dependencies and the development of design documents for a product, application, service, or platform. Produce extensible and maintainable code used across products. Leverages subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to drive multiple group's project plans, release plans, and work items. Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers. Key skill set Required: Proven experience coding in languages including, but not limited to, C#, Python. Preferred Qualifications: Bachelor's / Masters Degree in Computer Science or related technical discipline Must have 3+ years experience with following areas: C#, Python, Javascrip, Testing Familiarity with test automation tools and scripting languages. Experience with agile methodology. Strong communication skills. Govt clearance required (Past or present ) Hired only on W2 Location: Remote- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

As a DFT Engineer, you will be responsible for developing and implementing Design for Test methodologies for complex VLSI designs. You will ensure the testability and manufacturability of our products by working closely with design, verification, and physical design teams. Responsibilities: Develop and implement DFT architectures and strategies for complex SoC designs. Insert and verify DFT features such as scan chains, Built-In Self-Test (BIST) for memory and logic, and boundary scan (IEEE 1149.1/1149.6). Perform ATPG (Automatic Test Pattern Generation) and analyze coverage metrics to ensure high fault coverage. Collaborate with RTL designers to ensure seamless integration of DFT features into the design. Debug and resolve test-related issues in simulation, silicon validation, and production. Work closely with the physical design team to implement scan and clock constraints for timing closure. Optimize test time, power, and cost without compromising coverage and quality. Participate in silicon bring-up and post-silicon validation activities. Generate and maintain DFT documentation, including test plans, methodologies, and results. Requirements: Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or related field. 4 to 10 years of experience in DFT for VLSI designs. Strong knowledge of DFT methodologies, including ATPG/MBIST/Scan Insertion Verilog/ System Verilog and scripting languages (Python, TCL, Perl). Solid understanding of STA concepts and constraints related to DFT. Experience in debugging silicon and ATE test patterns. Excellent problem-solving skills and ability to work in a collaborative environment. Familiarity with fault diagnosis and yield improvement methodologies. Exposure to advanced nodes (7nm, 5nm, or below) and FinFET technologies. Knowledge of machine learning or AI techniques for test optimization.