Senior Data Scientist About the Role: We are seeking a highly skilled Senior Data Scientist with expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services . The ideal candidate will be responsible for designing, developing, and deploying advanced AI/ML models to drive data-driven decision-making. This role requires strong analytical skills, proficiency in AI/ML technologies, and experience with cloud-based solutions. Key Responsibilities: · Design and develop ML, NLP, and GenAI models to solve complex business problems. · Build, train, and optimize AI models using Python and relevant ML frameworks. · Implement Azure AI/ML services for scalable deployment of models. · Develop and integrate APIs for real-time model inference and decision-making. · Work with large-scale data to extract insights and drive strategic initiatives. · Collaborate with cross-functional teams, including Data Engineers, Software Engineers, and Product Teams , to integrate AI/ML solutions into applications. · Implement CI/CD pipelines to automate model training, deployment, and monitoring. · Ensure adherence to software engineering best practices and Agile methodologies in AI/ML projects. · Stay updated on cutting-edge AI/ML advancements and continuously enhance models and algorithms. · Conduct research on emerging AI/ML trends and contribute to the development of innovative solutions. · Provide technical mentorship and guidance to junior data scientists. · Optimize model performance and scalability in a production environment . Required Skills & Qualifications: · Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. · Hands-on experience in NLP techniques , including transformers, embeddings, and text processing. · Expertise in Generative AI models (GPT, BERT, LLMs, etc.). · Strong knowledge of Azure AI/ML services , including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. · Experience in developing APIs for model deployment and integration. · Familiarity with CI/CD pipelines for AI/ML models. · Strong understanding of software engineering principles and best practices. · Experience working in an Agile development environment . · Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. · Strong background in statistical analysis, data mining, and data visualization . Preferred Qualifications: · Experience in MLOps and automation of model lifecycle management. · Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. · Exposure to big data processing frameworks (Spark, Hadoop). · Strong ability to communicate complex ideas to technical and non-technical stakeholders. · Experience with Graph Neural Networks (GNNs) and recommendation systems . · Familiarity with AutoML frameworks and hyperparameter tuning strategies. Job Type: Part-time Pay: ₹400.00 - ₹450.00 per hour Expected hours: 48 per week Schedule: Day shift Experience: Senior Data Scientist: 8 years (Required) ML, NLP, and GenAI models: 8 years (Required) Python: 8 years (Required) Azure AI/ML services: 8 years (Required) Work Location: In person

Senior Data Scientist About the Role: We are seeking a highly skilled Senior Data Scientist with expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services . The ideal candidate will be responsible for designing, developing, and deploying advanced AI/ML models to drive data-driven decision-making. This role requires strong analytical skills, proficiency in AI/ML technologies, and experience with cloud-based solutions. Key Responsibilities: · Design and develop ML, NLP, and GenAI models to solve complex business problems. · Build, train, and optimize AI models using Python and relevant ML frameworks. · Implement Azure AI/ML services for scalable deployment of models. · Develop and integrate APIs for real-time model inference and decision-making. · Work with large-scale data to extract insights and drive strategic initiatives. · Collaborate with cross-functional teams, including Data Engineers, Software Engineers, and Product Teams , to integrate AI/ML solutions into applications. · Implement CI/CD pipelines to automate model training, deployment, and monitoring. · Ensure adherence to software engineering best practices and Agile methodologies in AI/ML projects. · Stay updated on cutting-edge AI/ML advancements and continuously enhance models and algorithms. · Conduct research on emerging AI/ML trends and contribute to the development of innovative solutions. · Provide technical mentorship and guidance to junior data scientists. · Optimize model performance and scalability in a production environment . Required Skills & Qualifications: · Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. · Hands-on experience in NLP techniques , including transformers, embeddings, and text processing. · Expertise in Generative AI models (GPT, BERT, LLMs, etc.). · Strong knowledge of Azure AI/ML services , including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. · Experience in developing APIs for model deployment and integration. · Familiarity with CI/CD pipelines for AI/ML models. · Strong understanding of software engineering principles and best practices. · Experience working in an Agile development environment . · Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. · Strong background in statistical analysis, data mining, and data visualization . Preferred Qualifications: · Experience in MLOps and automation of model lifecycle management. · Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. · Exposure to big data processing frameworks (Spark, Hadoop). · Strong ability to communicate complex ideas to technical and non-technical stakeholders. · Experience with Graph Neural Networks (GNNs) and recommendation systems . · Familiarity with AutoML frameworks and hyperparameter tuning strategies. Job Types: Full-time, Part-time, Permanent, Contractual / Temporary Pay: ₹400.00 - ₹450.00 per hour Schedule: Day shift Experience: Senior Data Scientist: 8 years (Required) ML, NLP, and GenAI models: 8 years (Required) Python: 8 years (Required) Azure AI/ML services: 8 years (Required) Work Location: In person

Job Title: .NET Full Stack Developer Location: Bangalore, India (Hybrid/On-site/Remote as applicable) Experience Required: 4–7 years Employment Type: Full-time,part-time,contract Job Summary: We are looking for a skilled and detail-oriented .NET Full Stack Developer to join our engineering team. You will be responsible for developing scalable web applications using ASP.NET Core, C#, Angular (or React), and SQL Server . The ideal candidate has hands-on experience with front-end and back-end technologies, RESTful APIs, and is passionate about clean architecture, performance optimization, and best coding practices. Key Responsibilities: Design, develop, and maintain web applications using .NET Core (preferably ASP.NET Core 8) , C#, and front-end frameworks like Angular 12+ or React . Collaborate with cross-functional teams to define, design, and deliver new features. Write clean, scalable, and maintainable code following SOLID principles and design patterns (e.g., Repository, Factory, CQRS, Mediator) . Develop RESTful APIs with proper authentication (JWT), caching (e.g., Redis), and performance tracking. Implement CI/CD pipelines, code reviews, unit/integration testing. Work with SQL Server for database design, writing stored procedures, dynamic queries, and optimizing query performance. Integrate third-party APIs and services, including microservices, identity providers, or cloud services. Handle asynchronous programming , middleware , and dependency injection effectively. Maintain version control using Git and participate in Agile development practices (Scrum or Kanban). Troubleshoot, debug, and upgrade existing applications as needed. Required Skills: Proficient in C#, ASP.NET Core (Web API + MVC), Entity Framework Core Strong knowledge of JavaScript/TypeScript , Angular 12+ (or React), HTML5 , CSS3 , Bootstrap , and jQuery Experience with SQL Server including stored procedures, views, and indexes (clustered/non-clustered) Good understanding of JWT Authentication , Authorization, and middleware pipelines Familiarity with microservices architecture , Redis caching , and asynchronous programming Experience with Git , DevOps (CI/CD pipelines) , and tools like Azure DevOps or GitHub Actions Understanding of software architecture patterns : layered, clean architecture, and domain-driven design Knowledge of WPF , Windows Services , or background jobs is a plus Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field Experience with Cloud platforms (Azure/AWS/GCP) is a plus Exposure to Agile/Scrum methodologies Strong problem-solving and debugging skills Soft Skills: Strong communication and interpersonal skills Ability to work independently and as part of a team Attention to detail and a strong commitment to quality Job Types: Full-time, Part-time, Permanent, Contractual / Temporary Pay: ₹400.00 - ₹450.00 per hour Schedule: Day shift Work Location: In person

Senior Data Scientist About the Role: We are seeking a highly skilled Senior Data Scientist with expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services . The ideal candidate will be responsible for designing, developing, and deploying advanced AI/ML models to drive data-driven decision-making. This role requires strong analytical skills, proficiency in AI/ML technologies, and experience with cloud-based solutions. Key Responsibilities: · Design and develop ML, NLP, and GenAI models to solve complex business problems. · Build, train, and optimize AI models using Python and relevant ML frameworks. · Implement Azure AI/ML services for scalable deployment of models. · Develop and integrate APIs for real-time model inference and decision-making. · Work with large-scale data to extract insights and drive strategic initiatives. · Collaborate with cross-functional teams, including Data Engineers, Software Engineers, and Product Teams , to integrate AI/ML solutions into applications. · Implement CI/CD pipelines to automate model training, deployment, and monitoring. · Ensure adherence to software engineering best practices and Agile methodologies in AI/ML projects. · Stay updated on cutting-edge AI/ML advancements and continuously enhance models and algorithms. · Conduct research on emerging AI/ML trends and contribute to the development of innovative solutions. · Provide technical mentorship and guidance to junior data scientists. · Optimize model performance and scalability in a production environment . Required Skills & Qualifications: · Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. · Hands-on experience in NLP techniques , including transformers, embeddings, and text processing. · Expertise in Generative AI models (GPT, BERT, LLMs, etc.). · Strong knowledge of Azure AI/ML services , including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. · Experience in developing APIs for model deployment and integration. · Familiarity with CI/CD pipelines for AI/ML models. · Strong understanding of software engineering principles and best practices. · Experience working in an Agile development environment . · Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. · Strong background in statistical analysis, data mining, and data visualization . Preferred Qualifications: · Experience in MLOps and automation of model lifecycle management. · Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. · Exposure to big data processing frameworks (Spark, Hadoop). · Strong ability to communicate complex ideas to technical and non-technical stakeholders. · Experience with Graph Neural Networks (GNNs) and recommendation systems . · Familiarity with AutoML frameworks and hyperparameter tuning strategies. Job Types: Full-time, Part-time, Permanent, Contractual / Temporary Pay: ₹400.00 - ₹450.00 per hour Schedule: Day shift Experience: Senior Data Scientist: 8 years (Required) ML, NLP, and GenAI models: 8 years (Required) Python: 8 years (Required) Azure AI/ML services: 8 years (Required) Work Location: In person