Experience: 8+ Years Location: Remote Work Timing: 11 AM – 8 PM IST We are seeking a highly skilled and experienced Solution Architect with deep expertise in Microsoft Technologies to lead technical design, development, and implementation of enterprise-grade solutions. The ideal candidate will serve as a key liaison between business needs and technology delivery, ensuring scalable, secure, and maintainable systems. Key Responsibilities: Design end-to-end architecture using Microsoft tech stack (.NET, Azure, SQL Server, etc.) Define technical standards, patterns, and best practices Translate business requirements into robust, scalable architecture solutions Provide hands-on technical leadership to development teams Review and ensure code quality, security, and performance standards Evaluate new tools, frameworks, and technologies for continuous improvement Collaborate with stakeholders (Product, QA, DevOps) to ensure seamless delivery Guide and mentor developers on architecture principles and implementation strategies Ensure systems are compliant with enterprise and industry standards Required Skills and Qualifications: Proven experience as a Solution Architect or Senior Technical Lead Expertise in Microsoft .NET/.NET Core , C# , ASP.NET , Web APIs , Entity Framework Strong understanding of Azure cloud services : App Services, Functions, Azure DevOps, Storage, etc. Proficient in SQL Server or other relational databases Good grasp of design patterns , architecture models (SOA, Microservices), and best practices Hands-on experience in Agile methodologies Strong communication and stakeholder management skills
We are looking for a skilled and detail-oriented UI Developer with strong experience in Razor, HTML, CSS, JavaScript , and a working knowledge of React.js . The ideal candidate should have hands-on experience implementing designs from Figma or Adobe XD and should be adept at building responsive, user-friendly web interfaces Key Responsibilities: Develop and maintain high-quality UI components using Razor views and modern front-end technologies. Convert UI/UX designs from tools like Figma/Adobe into clean, responsive, and interactive user interfaces. Ensure cross-browser compatibility and consistent performance across various devices. Collaborate with back-end developers, designers, and product teams to deliver seamless UI/UX experiences. Optimize code for performance, scalability, and maintainability. Conduct thorough testing and debugging to ensure application stability. Required Skills: Strong proficiency in Razor , HTML5 , CSS3 , and JavaScript . Experience with React.js is preferred. Familiarity with UI design tools like Figma , Adobe XD , or Sketch .
Experience: 4+ yrs Timing : 1 - 10 PM IST Qualifications: Education: Bachelor s or Master s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline; PhD s preferred Specialization or research in applied machine learning, MLOps, or ML systems preferred Experience: 4+ years of experience designing, developing, and deploying ML models in production environments 1+ year of experience in areas such as recommendation systems, pattern recognition, NLP, or time series modeling Experience with production-grade Python (preferred), as well as Java or C/C++ Hands-on experience with large-scale software architecture, APIs, and model versioning systems Technical Skills: Expertise in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn Proficient in cloud-based ML platforms (e.g., Azure ML, Google Cloud Platform, AWS SageMaker) Solid understanding of machine learning algorithms (e.g., classification, regression, SVMs, ARIMA, ensemble methods, deep learning, neural network) Strong foundation in probability theory and statistical modeling (generative and discriminative) Familiarity with DevOps/MLOps practices, CI/CD pipelines, GitHub Actions, Terraform, Docker, and Kubernetes Ability to communicate technical concepts clearly to both technical and non-technical stakeholders Strong collaboration skills with cross-functional teams (engineering, analytics, product) Ability to independently manage tasks and thrive in a remote-first or hybrid environment Preferred Skills : Experience in regulated industries (e.g., finance, healthcare, insurance) Excellent communication and stakeholder engagement skills Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs) Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.) Proficiency in model evaluation, distributed training, and hyperparameter optimization Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search) Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes) Proficient in API and Microservices technologies Track records in large-scale, real-time AI/GenAI/ML database and solution technologies Background in responsible AI/ML, model interpretability, and fairness auditing
Preferred candidate profile Machine Learning Engineer Experience: 7+ yrs Timing : 2:30 pm - 11:30 pm Qualifications: Education: Bachelors or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline; PhD’s preferred Specialization or research in applied machine learning, MLOps, or ML systems preferred Experience: 4+ years of experience designing, developing, and deploying ML models in production environments 1+ year of experience in areas such as recommendation systems, pattern recognition, NLP, or time series modeling Experience with production-grade Python (preferred), as well as Java or C/C++ Hands-on experience with large-scale software architecture, APIs, and model versioning systems Technical Skills: Expertise in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn Proficient in cloud-based ML platforms (e.g., Azure ML, Google Cloud Platform, AWS SageMaker) Solid understanding of machine learning algorithms (e.g., classification, regression, SVMs, ARIMA, ensemble methods, deep learning, neural network) Strong foundation in probability theory and statistical modeling (generative and discriminative) Familiarity with DevOps/MLOps practices, CI/CD pipelines, GitHub Actions, Terraform, Docker, and Kubernetes Ability to communicate technical concepts clearly to both technical and non-technical stakeholders Strong collaboration skills with cross-functional teams (engineering, analytics, product) Ability to independently manage tasks and thrive in a remote-first or hybrid environment Preferred Skills: Experience in regulated industries (e.g., finance, healthcare, insurance) Excellent communication and stakeholder engagement skills Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs) Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.) Proficiency in model evaluation, distributed training, and hyperparameter optimization Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search) Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes) Proficient in API and Microservices technologies Track records in large-scale, real-time AI/GenAI/ML database and solution technologies Background in responsible AI/ML, model interpretability, and fairness auditing
Preferred candidate profile Follow us for regular updates: https://www.linkedin.com/company/rdalabs-inc We are looking for people with expertise in .NET Core and Angular 12+. Responsibilities include solving problems, experimenting, and building features that we measure for value to our users. Candidates must have strong communication skills, the ability to manage multiple tasks efficiently, sound judgment, and the ability to be productive in a fast-paced, team-oriented environment. Responsibilities: Build scalable, highly reliable product features. •Design, implement, and maintain applications used by both mobile and desktop clients. •Work closely with client developers to architect high-throughput systems. •Create and maintain documentation pertaining to code and engineering processes. •Work in a collaborative environment by occasional pair and/or mob programming. •Evaluate technical capabilities, options, and strategies. • Communicating with Engineering Managers and Product Owners to plan and prioritize work and design technical solutions. •Work in a cadence of two-week sprints with daily stand-ups and bi-weekly retrospectives. • Conduct design and code reviews. •Grow subject matter expertise in programming, product, and platform. Required Knowledge: 4 years of .net core experience & C# •3 years of Angular Version 10+ experience. •Experience in Web API. •Hands-on knowledge of version control systems such as Git. •Experience with SQL Server, other relational database engines and relational database design. •Knowledge of RESTful API design. •Ability to demonstrate technical know-how through individual contributions, pair programming exercises, and architectural designs. •Strong oral and written communication skills to create. •Basics of Azure