13 Ml.Net Jobs

Responsibilities Seeking a highly skilled and experienced Senior .NET Full Stack Developer with a passion for leveraging AI and machine learning to drive innovation and efficiency in software development to work out of Kozhikode. As a key contributor, you will be responsible for designing, developing, and maintaining robust and scalable web applications, leveraging your expertise in both .NET backend and React frontend technologies. If you are a passionate and skilled .NET Full Stack Developer with a passion for AI-driven development and a desire to deliver innovative solutions, we encourage you to read further and apply to Responsibilities : Participate in requirements analysis Collaborate with internal teams to produce software design and architecture Backend Development Design and develop robust and scalable .NET backend services using .NET Core and Entity Framework Core. Implement RESTful APIs to expose data and functionality to frontend applications. Integrate with various data sources, including databases, APIs, and messaging systems. Ensure code quality, maintainability, and performance optimization. Frontend Development Design and develop user-friendly and responsive web interfaces using React, JavaScript, and HTML/CSS. Implement complex UI components and interactions. Optimize frontend performance and user experience. Collaborate with UX/UI designers to create visually appealing and intuitive interfaces. Full Stack Development Work seamlessly between frontend and backend development, ensuring seamless integration and data flow. Troubleshoot and resolve complex technical issues across the full stack. Contribute to the overall architecture and design of the application. AI-Driven Development Research and implement AI and machine learning techniques to enhance software development processes. Utilize AI tools for code generation, testing, and automated debugging. Explore the application of AI for predictive analytics, anomaly detection, and personalized user experiences. Other Responsibility Participate in requirements analysis Collaborate with internal teams to produce software design and architecture Test and deploy applications and systems Revise, update, refactor and debug code Improve existing software Develop documentation throughout the software development life cycle (SDLC) Serve as an expert on applications and provide technical support. Required Skills And Experience 5+ years of hands-on experience in .NET development, with a strong focus on .NET Core , Entity Framework Core, C#, LINQ,CQRS, Clean Architecture, microservices, modular monolithic. Proven experience in developing complex web applications using React, JavaScript, and HTML/CSS. Strong understanding of RESTful API design and development. Proficiency in database technologies like SQL Server ,Postgres or other relational databases. Experience with cloud platforms (Azure, AWS, or GCP) and their services. Solid understanding of software development principles, design patterns, and best practices. Experience with version control systems like Git. Strong problem-solving, troubleshooting, and analytical skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. A keen interest in AI and machine learning, with a desire to explore their application in software development. Experience with AI frameworks and tools like TensorFlow, PyTorch, or ML.NET is a plus. (ref:hirist.tech)

Seeking a highly skilled and experienced Senior .NET Full Stack Developer with a passion for leveraging AI and machine learning to drive innovation and efficiency in software development to work out of Kozhikode. As a key contributor, you will be responsible for designing, developing, and maintaining robust and scalable web applications, leveraging your expertise in both .NET backend and React frontend technologies. If you are a passionate and skilled .NET Full Stack Developer with a passion for AI-driven development and a desire to deliver innovative solutions, we encourage you to read further and apply to hrsal@alhindonline.com Key Responsibilities: · Participate in requirements analysis · Collaborate with internal teams to produce software design and architecture ● BackendDevelopment: ○ Design and develop robust and scalable .NET backend services using .NET Core and Entity Framework Core. ○ Implement RESTful APIs to expose data and functionality to frontend applications. ○ Integrate with various data sources, including databases, APIs, and messaging systems. ○ Ensure code quality, maintainability, and performance optimization. ● Frontend Development: ○ Design and develop user-friendly and responsive web interfaces using React, JavaScript, and HTML/CSS. ○ Implement complex UI components and interactions. ○ Optimize frontend performance and user experience. ○ Collaborate with UX/UI designers to create visually appealing and intuitive interfaces. ● Full Stack Development: ○ Workseamlessly between frontend and backend development, ensuring seamless integration and data flow. ○ Troubleshoot and resolve complex technical issues across the full stack. ○ Contribute to the overall architecture and design of the application. ● AI-Driven Development: ○ Research and implement AI and machine learning techniques to enhance software development processes. ○ Utilize AI tools for code generation, testing, and automated debugging. ○ Explore the application of AI for predictive analytics, anomaly detection, and personalized user experiences. ● DevOpsandCI/CD: ○ Collaborate with DevOps teams to implement CI/CD pipelines and automate deployment processes. ○ Utilize tools like Jenkins, Azure DevOps, or GitLab CI/CD to streamline development and deployment workflows. ○ Contribute to infrastructure as code initiatives to manage and provision infrastructure resources. ● OtherResponsibility ○ Participate in requirements analysis ○ Collaborate with internal teams to produce software design and architecture ○ Test and deploy applications and systems ○ Revise, update, refactor and debug code ○ Improve existing software ○ Develop documentation throughout the software development life cycle (SDLC) ○ Serveasanexpert on applications and provide technical support. Required Skills and Experience: ● 5+years of hands-on experience in .NET development, with a strong focus on .NET Core , Entity Framework Core, C#, LINQ,CQRS, Clean Architecture,microservices,modular monolithic ● Proven experience in developing complex web applications using React, JavaScript, and HTML/CSS. ● Strong understanding of RESTful API design and development. ● Proficiency in database technologies like SQL Server ,Postgres or other relational databases. ● Experience with cloud platforms (Azure, AWS, or GCP) and their services. ● Solid understanding of software development principles, design patterns, and best practices. ● Experience with version control systems like Git. ● Strong problem-solving, troubleshooting, and analytical skills. ● Excellent communication and interpersonal skills. ● Ability to work independently and as part of a team. ● A keen interest in AI and machine learning, with a desire to explore their application in software development. ● Experience with AI frameworks and tools like TensorFlow, PyTorch, or ML.NET is a plus.

Job title Senior Software Engineer - AI ML , Ahmedabad, India Ref # 223912 Location India - Ahmedabad Job family Corporate & Commercial Closing date: 07-Aug-2025 We are looking for a Senior Software Engineer with exceptional expertise in the latest .NET technologies and strong exposure to AI. You will develop, and deploy AI-driven solutions, build intelligent applications, and accelerate our GenAI roadmap Key Responsibilities: Develop, and optimize AI and GenAI solutions. Integrate and utilize frameworks such as Semantic Kernel, Autogen, ML.NET for GenAI workflows. Work with product and data teams to translate requirements into robust, scalable .NET applications with advanced AI capabilities. Implement and consume GenAI APIs and LLMs for tasks like language modeling, chatbots, and intelligent document processing. Develop the end-to-end lifecycle: data ingestion, preprocessing, model selection, deployment, and monitoring. Ensure solutions meet standards for performance, security, and maintainability. Be part of an extraordinary story: Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. Qualifications Proven hands-on experience in developing enterprise-scale applications using .NET (C#), including ASP.NET Core, Web API, and RDBMS-driven solutions. Advanced proficiency in designing and implementing modern software architecture, with strong knowledge of RESTful APIs and microservices patterns within the .NET ecosystem. Deep understanding of Entity Framework Core, LINQ, advanced C# features (async/await, generics, dependency injection), and integration with middleware. Experience with .NET-specific DevOps tools, including Azure DevOps (CI/CD pipelines), version control (e.g., Git) Experience designing and consuming APIs with OpenAPI/Swagger standards. Experience with containerization of .NET applications using Docker and orchestration via Kubernetes (AKS). Familiarity with agentic and orchestration frameworks such as Microsoft Semantic Kernel and Autogen in .NET workflows. Exposure to full-stack development, including front-end technologies like Angular (with ASP.NET Core backends). Experience integrating or migrating to cloud-native services in Azure (App Service, Functions, Cosmos DB, Azure SQL) and GCP (Cloud SQL, GKE, Cloud Functions). Working knowledge of NoSQL technologies (Cosmos DB, MongoDB) as part of hybrid .NET architectures. Understanding of identity and access management in .NET, including Azure AD, RBAC, and security best practices. Exposure to cross-platform UI development using web components About Qatar Airways Group: Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. How to apply: If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form. About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&job=223912

We are seeking a highly skilled Technical Lead (AI) who excels in designing, developing, and delivering AI-powered solutions using the latest .NET technologies and GenAI frameworks. You will act as the technical anchor of an agile AI engineering team, guiding solution architecture, enforcing best coding practices, and ensuring robust, scalable, and maintainable delivery across the .NET and GenAI landscape. You will collaborate closely with architects, product owners, and cross-functional teams to shape technical vision, solve complex problems, and accelerate our journey in AI innovation. Key Responsibilities Lead the design and development of advanced AI/GenAI features using .NET technologies (C#, ASP.NET Core, Web API). Own the technical delivery of GenAI projects by hands-on development, code reviews, and troubleshooting. Architect and integrate solutions with Microsoft-deployed AI frameworks (Semantic Kernel, Autogen, ML.NET). Guide end-to-end implementation: data acquisition, preprocessing, modeling, deployment, and monitoring—all within .NET. Collaborate with product and engineering managers to ensure technical feasibility and high-quality business solutions. Drive adoption of DevOps/MLOps best practices (Azure DevOps CI/CD, Git, automated testing). Mentor engineers, conduct knowledge-sharing sessions, and champion continuous learning in AI and .NET advancements. Champion code quality, security, performance optimizations, and documentation across the delivery lifecycle. Participate in architecture discussions, technical evaluation of tools/frameworks, and risk assessments. Ensure cloud-native, secure, and scalable deployments—primarily in Azure/GCP environments. Be part of an extraordinary story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible Job Posting Jul 24, 2025, 1:54:52 PM 7+ years of software engineering experience, with significant exposure to enterprise .NET (C#) development. Deep hands-on expertise in ASP.NET Core, Web API, and RDBMS technologies (SQL Server, Azure SQL). Advanced proficiency in software architecture, REST APIs, microservices, and cloud-native design. Excellent command of Entity Framework Core, LINQ, async/await, dependency injection, and middleware. Experience with DevOps workflows (Azure DevOps CI/CD, Git), and automated testing practices. Exposure to containerization (Docker) and orchestration (Kubernetes/AKS). Experience leading small- to mid-size technical teams, including mentoring and code reviews. Strong problem-solving skills and ability to translate business goals into scalable technical solutions. Good communication and stakeholder management skills. Desired Skills Hands-on with Azure Cognitive Services, OpenAI’s .NET SDK, and productionizing GenAI/LLM workflows. Familiarity with agent orchestration and pipeline frameworks in .NET (Semantic Kernel, Autogen, etc.). Cloud services integration: Azure App Service, Functions, Cosmos DB, GCP Cloud Functions/SQL. Working knowledge of NoSQL databases (Cosmos DB, MongoDB). Front-end collaboration with Angular (paired with ASP.NET Core backends). Security expertise: Azure AD, RBAC, API security and compliance. About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community

We are looking for a Senior Software Engineer with exceptional expertise in the latest .NET technologies and strong exposure to AI. You will develop, and deploy AI-driven solutions, build intelligent applications, and accelerate our GenAI roadmap Key Responsibilities Develop, and optimize AI and GenAI solutions. Integrate and utilize frameworks such as Semantic Kernel, Autogen, ML.NET for GenAI workflows. Work with product and data teams to translate requirements into robust, scalable .NET applications with advanced AI capabilities. Implement and consume GenAI APIs and LLMs for tasks like language modeling, chatbots, and intelligent document processing. Develop the end-to-end lifecycle: data ingestion, preprocessing, model selection, deployment, and monitoring. Ensure solutions meet standards for performance, security, and maintainability. Be Part Of An Extraordinary Story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. Job Posting Jul 24, 2025, 8:25:21 AM Proven hands-on experience in developing enterprise-scale applications using .NET (C#), including ASP.NET Core, Web API, and RDBMS-driven solutions. Advanced proficiency in designing and implementing modern software architecture, with strong knowledge of RESTful APIs and microservices patterns within the .NET ecosystem. Deep understanding of Entity Framework Core, LINQ, advanced C# features (async/await, generics, dependency injection), and integration with middleware. Experience with .NET-specific DevOps tools, including Azure DevOps (CI/CD pipelines), version control (e.g., Git) Experience designing and consuming APIs with OpenAPI/Swagger standards. Experience with containerization of .NET applications using Docker and orchestration via Kubernetes (AKS). Familiarity with agentic and orchestration frameworks such as Microsoft Semantic Kernel and Autogen in .NET workflows. Exposure to full-stack development, including front-end technologies like Angular (with ASP.NET Core backends). Experience integrating or migrating to cloud-native services in Azure (App Service, Functions, Cosmos DB, Azure SQL) and GCP (Cloud SQL, GKE, Cloud Functions). Working knowledge of NoSQL technologies (Cosmos DB, MongoDB) as part of hybrid .NET architectures. Understanding of identity and access management in .NET, including Azure AD, RBAC, and security best practices. Exposure to cross-platform UI development using web components About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. How To Apply If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.

Proficient with the .NET framework & .NET Core Strong understanding of object-oriented programming Familiar with various design and architectural patterns Understanding fundamental design principles behind a scalable application Proficient with WPF Proficient in C#, with a good knowledge of its ecosystems Skill for writing reusable C# libraries Knowledge of concurrency patterns in C# Proficient with Microsoft SQL Server or Oracle Creating database schemas that represent and support business processes Proficient understanding of code versioning tool Git. Proficient with continuous integration and Deployment Familiarity with ASP.NET/BLAZOR/MAUI are added advantage Familiarity with Azure Repo & Azure Pipeline are added advantage Familiarity with ML.NET is added advantage

Company Overview We are an innovative company developing license-based AI vision software for industrial automation and robotics, deployed on edge devices like the ARM64 boards. Our solutions leverage state-of-the-art object detection models (e.g., YOLOv8) to deliver cutting-edge vision capabilities for industries such as manufacturing, logistics, and robotics. Job Summary We are seeking a motivated .NET Developer Intern with full-stack development skills and an interest in AI vision software for industrial applications. The intern will contribute to the development, deployment, and licensing of AI vision software running on ARM64 boards, focusing on object detection using models like YOLOv8. The role involves building secure, license-protected applications using C#/.NET, integrating with Python-based AI models, and ensuring compatibility with Linux and ARM64 architectures. Responsibilities Develop full-stack applications using C#/.NET (ASP.NET Core, Blazor, or WPF) for AI vision software, including web-based dashboards and APIs for industrial use cases. Implement and integrate license-based software locking mechanisms (e.g., hardware-tied, time-based, or feature-based licenses) using .NET libraries like Portable.Licensing or similar tools. Collaborate with the AI team to integrate YOLOv8 object detection models (developed in Python) into .NET applications using ONNX Runtime or ML.NET for inference on ARM64. Optimize software for deployment on Linux-based ARM64 platforms, ensuring compatibility with ARM64. Assist in developing user interfaces for industrial vision applications, ensuring seamless interaction with object detection outputs. Write clean, maintainable, and well-documented code following best practices. Participate in testing, debugging, and performance optimization of AI vision software. Stay updated on industry trends in industrial vision and robotics, including advancements from companies like SICK AG, Cognex, and AI vision startups. Required Qualifications Education : Pursuing a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field. Programming Skills : Proficiency in C# and .NET (preferably .NET Core/.NET 5/6/7) for full-stack development. Experience with Python for AI model integration (e.g., PyTorch, YOLOv8). Familiarity with web development technologies (HTML, CSS, JavaScript, Blazor, or ASP.NET Core). AI Vision Knowledge : Basic understanding of computer vision concepts (e.g., object detection, image processing) and familiarity with models like YOLOv8. Licensing Knowledge : Understanding of software licensing mechanisms (e.g., hardware-based, time-based) and experience with cryptographic libraries (e.g., System.Security.Cryptography in .NET or Python’s cryptography). Linux and ARM64 : Basic knowledge of Linux environments and ARM64 architecture, particularly for deploying software on NVIDIA ecosystem. Problem-Solving : Strong analytical and problem-solving skills with a keen attention to detail. Teamwork : Ability to work collaboratively in a fast-paced, cross-functional team environment. Good-to-Have Qualifications Experience with C++ for performance-critical tasks, such as optimizing YOLOv8 inference with NVIDIA TensorRT or OpenCV. Familiarity with NVIDIA’s ecosystem (e.g., JetPack SDK, DeepStream, TensorRT) for AI vision deployment. Knowledge of computer vision libraries like OpenCV or EmguCV. Experience with cloud platforms (e.g., Azure, AWS) for license management or data integration. Understanding of industrial vision and robotics applications. Exposure to software obfuscation tools (e.g., Dotfuscator, Pyarmor) for protecting license-based software. Why Join Us? Gain hands-on experience in developing cutting-edge AI vision software for industrial applications. Work on real-world projects involving YOLOv8, ARM64, and license-based software solutions. Collaborate with a team of experts in AI, computer vision, and industrial automation. Opportunity to learn from industry trends, including those set by leaders like SICK AG, Cognex, and innovative startups. Flexible work environment with opportunities for growth and learning. Job Types: Full-time, Part-time, Permanent, Fresher, Internship, Volunteer Pay: ₹8,393.49 - ₹25,634.39 per month Benefits: Paid sick time Work from home Location Type: In-person Schedule: Day shift Evening shift Monday to Friday Rotational shift Work Location: In person Speak with the employer +91 8448116056

About Motadata Motadata is a renowned IT monitoring and management software company that has been transforming how businesses manage their ITOps since its inception. Our vision is to revolutionize the way organizations extract valuable insights from their IT networks. Bootstrapped since inception, Motadata has built up a formidable product suite comprising cutting-edge solutions, empowering enterprises to make informed decisions and optimize their IT infrastructure. As a market leader, we take pride in our ability to collect and analyze data from various sources, in any format, providing a unified view of IT monitoring data. Position Overview We are seeking a Senior Machine Learning Engineer to join our team, focused on enhancing our AIOps and IT Service Management (ITSM) product through the integration of cutting-edge AI/ML features and functionality. As part of our innovative approach to revolutionizing the IT industry, you will play a pivotal role in leveraging data analysis techniques and advanced machine learning algorithms to drive meaningful insights and optimize our product's performance. With a particular emphasis on end-to-end machine learning lifecycle management and MLOps, you will collaborate with cross-functional teams to develop, deploy, and continuously improve AI-driven solutions tailored to our customers' needs. From semantic search and AI chatbots to root cause analysis based on metrics, logs, and traces, you will have the opportunity to tackle diverse challenges and shape the future of intelligent IT operations. Role & Responsibility Lead the end-to-end machine learning lifecycle, understand the business problem statement, convert into ML problem statement, data acquisition, exploration, feature engineering, model selection, training, evaluation, deployment, and monitoring (MLOps). Should be able to lead the team of ML Engineers to solve the business problem and get it implemented in the product, QA validated and improvise based on the feedback from the customer. Collaborate with product managers to understand business needs and translate them into technical requirements for AI/ML solutions. Design, develop, and implement machine learning algorithms and models, including but not limited to statistics, regression, classification, clustering, and transformer-based architectures. Preprocess and analyze large datasets to extract meaningful insights and prepare data for model training. Build and optimize machine learning pipelines for model training and inference using relevant frameworks. Fine-tune existing models and/or train custom models to address specific use cases. Enhance the accuracy and performance of existing AI/ML models through monitoring, iterative refinement and optimization techniques. Collaborate closely with cross-functional teams to integrate AI/ML features seamlessly into our product, ensuring scalability, reliability, and maintainability. Document your work clearly and concisely for future reference and knowledge sharing within the team. Stay ahead of latest developments in machine learning research and technology and evaluate their potential applicability to our product roadmap. Skills And Qualifications Bachelor's or higher degree in Computer Science, Engineering, Mathematics, or related field. Minimum 5+ years of experience as a Machine Learning Engineer or similar role. Proficiency in data analysis techniques and tools to derive actionable insights from complex datasets. Solid understanding and practical experience with machine learning algorithms and techniques, including statistics, regression, classification, clustering, and transformer-based models. Hands-on experience with end-to-end machine learning lifecycle management and MLOps practices. Proficiency in programming languages such as Python and familiarity with at least one of the following : Java,Golang, .NET, Rust. Experience with machine learning frameworks/libraries (e.g. , TensorFlow, PyTorch, scikit-learn) and MLOps tools (e.g. , MLflow, Kubeflow). Experience with ML.NET and other machine learning frameworks. Familiarity with natural language processing (NLP) techniques and tools. Excellent communication and teamwork skills, with the ability to effectively convey complex technical concepts to diverse audiences. Proven track record of delivering high-quality, scalable machine learning solutions in a production environment. (ref:hirist.tech)

Architecture Design & Strategy: Define and implement the overarching AI/ML technology architecture, ensuring alignment with business goals and Agentic AI initiatives. Select and evaluate appropriate AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, ML.NET) and cloud platforms (AWS, Azure, GCP) based on project requirements and computational efficiency. Design scalable data pipelines for efficient data ingestion, processing, feature engineering, and model training. Develop and implement model deployment strategies, including cloud-based deployment and edge computing solutions. Establish architectural standards and best practices for AI/ML development. Location - Pan India Experience - 12 yrs minimum to 18 yrs Show more Show less

Proficient with the .NET framework & .NET Core Strong understanding of object-oriented programming Familiar with various design and architectural patterns Understanding fundamental design principles behind a scalable application Proficient with WPF Proficient in C#, with a good knowledge of its ecosystems Skill for writing reusable C# libraries Knowledge of concurrency patterns in C# Proficient with Microsoft SQL Server or Oracle Creating database schemas that represent and support business processes Proficient understanding of code versioning tool Git. Proficient with continuous integration and Deployment Familiarity with ASP.NET/BLAZOR/MAUI are added advantage Familiarity with Azure Repo & Azure Pipeline are added advantage Familiarity with ML.NET is added advantage Show more Show less

Company Description ShuffleLabs is a trusted partner for integration solutions, delivering excellent products and exceptional customer service. The flagship platform ShuffleExchange connects applications using APIs, simplifies integration development with visual tools, and makes implementation easy. ShuffleExchange provides simplicity and ease of use for complex integration needs. Role Description This is a full-time on-site role in Chennai for a Technical Lead at ShuffleLabs. The Technical Lead will be responsible for leading technical teams, designing and implementing software solutions, providing technical guidance, and ensuring project success through effective leadership and problem-solving. Roles & Responsibilities Architect and deliver iPaaS solutions that enable seamless integration between cloud, on-premise, and hybrid systems using modern technologies and enterprise best practices. Lead end-to-end solution design, ensuring robust data integration patterns (event-driven, pub-sub, messaging queues, ETL, API orchestration). Collaborate with cross-functional teams, product managers, and integration engineers to define technical roadmaps and align architecture with business goals. Incorporate AI/ML components into integration workflows for intelligent automation, data transformation, anomaly detection, and predictive routing. Define and implement scalable cloud integration strategies leveraging Microsoft Azure services (Logic Apps, Azure Functions, Event Grid, API Management). Guide integration architecture design, performance optimization, security protocols (OAuth2, OpenID Connect, API security), and SLA compliance. Evaluate and select iPaaS tools, integration frameworks, and middleware platforms aligned with customer needs and future scalability. Mentor development teams, enforce engineering standards, lead code and design reviews, and promote DevOps and CI/CD best practices. Produce architecture artifacts, technical specifications, white papers, and reusable design patterns for internal and client use. Lead cloud migration initiatives and legacy modernization efforts, especially for enterprise integration systems. Experience with hybrid and multi-cloud integration scenarios Core Technical Skills iPaaS / Integration Expertise: Integration patterns: RESTful/SOAP APIs, file-based transfers, message queues, ETL pipelines, webhooks Experience with iPaaS platforms: Azure Logic Apps , MuleSoft , Dell Boomi , Informatica , SnapLogic , or Workato (experience with Azure preferred) Strong knowledge of Azure Integration Services : Logic Apps, API Management, Service Bus, Event Grid, Azure Functions, Data Factory Microsoft Stack: .NET Core / .NET 6+, ASP.NET MVC, C#, Entity Framework, Web API Azure PaaS services (App Services, Azure SQL, Azure Cosmos DB, Azure Blob Storage) Experience with database design, normalization, and data modeling in SQL Server environments Power Platform (Power Automate, Power BI, Power Apps) knowledge is a plus DevOps & Cloud Infrastructure: Azure DevOps, CI/CD pipelines, ARM/Bicep templates, GitHub Actions, Jenkins Kubernetes (AKS), Docker, Terraform, Ansible Azure Monitoring, App Insights, and Log Analytics for integration health checks and diagnostics AI & Intelligent Integration Skills Integrate AI into iPaaS pipelines using Azure Cognitive Services , OpenAI APIs , or ML.NET for: Data extraction/classification from unstructured sources (OCR, NLP) Smart routing and workflow recommendations Predictive analytics and anomaly detection Intelligent chatbots and virtual assistants for API support Experience with AI-enriched integration use cases: RAG pipelines, auto-mapping schemas, adaptive decision-making, intelligent data validation Familiarity with vector databases (e.g., Pinecone, FAISS) and semantic search to enhance knowledge workflows Understanding of MLOps practices and integration of AI lifecycle into CI/CD pipelines Contribution to open-source integration or AI tools Soft Skills & Leadership Strategic thinker with deep technical expertise and strong business acumen in the iPaaS space Excellent communication skills with the ability to translate complex technical concepts into business terms Collaborative leader experienced in mentoring cross-functional engineering teams Strong problem-solving, prioritization, and project planning abilities in fast-paced, evolving environments Qualifications & Experience M.C.A. / B.E. / B. Tech in Computer Science or related field from a reputed institute Minimum 9+ years of experience in IT, with 3+ years in architectural or lead roles focused on integration technologies Proven experience designing and deploying enterprise-scale integration solutions using Microsoft Azure Experience implementing AI-driven features in cloud or integration platforms is highly desirable Certifications in Microsoft Azure (Architect, DevOps Engineer, AI Engineer) or iPaaS platforms are a strong plus Show more Show less

Proficient with the .NET framework & .NET Core Strong understanding of object-oriented programming Familiar with various design and architectural patterns Understanding fundamental design principles behind a scalable application Proficient with WPF Proficient in C#, with a good knowledge of its ecosystems Skill for writing reusable C# libraries Knowledge of concurrency patterns in C# Proficient with Microsoft SQL Server or Oracle Creating database schemas that represent and support business processes Proficient understanding of code versioning tool Git. Proficient with continuous integration and Deployment Familiarity with ASP.NET/BLAZOR/MAUI are added advantage Familiarity with Azure Repo & Azure Pipeline are added advantage Familiarity with ML.NET is added advantage Show more Show less

We are looking for a motivated and enthusiastic .NET Developer with 0 to 2 years of experience to join our growing team at Equitec. As a .NET Developer, you will be involved in developing, maintaining, and optimizing software applications using Microsoft technologies. You will have the opportunity to work with AI technologies and contribute to the integration of AI-driven features into our solutions. You will work closely with cross-functional teams to create high-quality, scalable applications while learning and growing in the exciting field of Artificial Intelligence. Key Responsibilities: - Develop and maintain web applications using .NET technologies (C#, ASP.NET Core, MVC, Web API). - Collaborate with senior developers to design, implement, and test features and enhancements. - Integrate AI capabilities into software solutions, such as machine learning models or intelligent automation. - Participate in the full software development lifecycle, including requirement analysis, coding, testing, and deployment. - Write clean, efficient, and maintainable code following best practices. - Troubleshoot, debug, and optimize existing applications. - Stay updated with the latest trends in .NET development and AI technologies. Role & responsibilities Preferred candidate profile - Programming Languages: Proficiency in C#, .NET Core, ASP.NET MVC/Web API. - Web Development: Knowledge of HTML, CSS, JavaScript, and front-end frameworks. - AI/ML Knowledge: Basic understanding of AI concepts and willingness to learn about AI technologies. - Databases: Familiarity with SQL Server or other relational databases. - Version Control: Experience using Git or other version control systems. - Problem-Solving: Strong analytical and problem-solving skills. - Communication: Good communication skills with the ability to work in a collaborative team environment. Preferred Qualifications: - AI/ML Frameworks: Exposure to AI tools like TensorFlow, ML.NET, or Python libraries (optional but beneficial). - Cloud Platforms: Experience with Azure or AWS for deploying AI solutions (a plus). - Software Development Practices: Familiarity with Agile methodologies and CI/CD pipelines. - Education: A degree in Computer Science, Engineering, or a related field (or equivalent experience) Why Join Equitec? - Career Growth: Learn and grow with cutting-edge technologies like AI, cloud computing, and modern .NET frameworks. - Collaborative Environment: Work with experienced professionals in an innovative and supportive environment. - Competitive Salary & Benefits: Competitive pay and benefits package, with performance-based incentives. - Learning & Development: Access to training and development resources to help you grow in your career. - Work-Life Balance: Flexible working hours and a focus on work-life balance.