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

Key Responsibilities: Design and develop ML, NLP, and GenAI models to solve real-world business problems. Build, train, and fine-tune AI models using Python and leading ML frameworks . Leverage Azure and GCP AI/ML services for scalable and production-ready deployment. Develop and integrate APIs for real-time model inference and intelligent decision-making. Handle large-scale datasets to extract insights and drive data-informed strategies. Work collaboratively with Data Engineers, Software Developers, and Product Teams to integrate AI solutions into existing products and platforms. Implement and maintain CI/CD pipelines for model development and deployment automation. Follow Agile methodologies and adhere to software engineering best practices . Stay current with AI/ML innovations , including LLMs and GenAI advancements, and incorporate them into ongoing projects. Lead research initiatives and contribute to innovative solution development. Provide mentorship to junior team members and ensure knowledge sharing. Continuously monitor and optimize models for performance and scalability in production. Required Skills & Qualifications: Proficiency in Python and experience with TensorFlow, PyTorch , or Scikit-learn . In-depth understanding of NLP techniques , such as transformers, embeddings , and text analytics . Proven expertise in Generative AI models (e.g., GPT, BERT, LLMs ). Strong experience with Azure AI/ML services (Azure ML, Cognitive Services, Databricks). Hands-on experience with GCP AI/ML tools such as Vertex AI , BigQuery ML , and TensorFlow on GCP . Proficient in building and integrating REST APIs for ML model inference. Familiarity with CI/CD practices tailored for ML environments. Strong grasp of software engineering principles (version control, modularity, testing). Experience working in Agile development environments . Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment . Solid background in statistical analysis , data mining , and data visualization . Preferred Qualifications: Experience with MLOps and end-to-end model lifecycle automation . Knowledge of vector databases and Retrieval-Augmented Generation (RAG) . Familiarity with big data processing frameworks such as Apache Spark and Hadoop . Ability to communicate complex technical concepts to non-technical stakeholders . Exposure to Graph Neural Networks (GNNs) and recommendation engines . Understanding of AutoML frameworks and advanced hyperparameter tuning techniques . Job Type: Contractual / Temporary Pay: ₹700.00 - ₹900.00 per hour Schedule: Day shift Experience: Python : 3 years (Required) TensorFlow: 3 years (Required) PyTorch: 3 years (Required) Scikit-learn: 3 years (Required) Work Location: In person

Key Responsibilities: Design and develop ML, NLP, and GenAI models to solve real-world business problems. Build, train, and fine-tune AI models using Python and leading ML frameworks . Leverage Azure and GCP AI/ML services for scalable and production-ready deployment. Develop and integrate APIs for real-time model inference and intelligent decision-making. Handle large-scale datasets to extract insights and drive data-informed strategies. Work collaboratively with Data Engineers, Software Developers, and Product Teams to integrate AI solutions into existing products and platforms. Implement and maintain CI/CD pipelines for model development and deployment automation. Follow Agile methodologies and adhere to software engineering best practices . Stay current with AI/ML innovations , including LLMs and GenAI advancements, and incorporate them into ongoing projects. Lead research initiatives and contribute to innovative solution development. Provide mentorship to junior team members and ensure knowledge sharing. Continuously monitor and optimize models for performance and scalability in production. Required Skills & Qualifications: Proficiency in Python and experience with TensorFlow, PyTorch , or Scikit-learn . In-depth understanding of NLP techniques , such as transformers, embeddings , and text analytics . Proven expertise in Generative AI models (e.g., GPT, BERT, LLMs ). Strong experience with Azure AI/ML services (Azure ML, Cognitive Services, Databricks). Hands-on experience with GCP AI/ML tools such as Vertex AI , BigQuery ML , and TensorFlow on GCP . Proficient in building and integrating REST APIs for ML model inference. Familiarity with CI/CD practices tailored for ML environments. Strong grasp of software engineering principles (version control, modularity, testing). Experience working in Agile development environments . Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment . Solid background in statistical analysis , data mining , and data visualization . Preferred Qualifications: Experience with MLOps and end-to-end model lifecycle automation . Knowledge of vector databases and Retrieval-Augmented Generation (RAG) . Familiarity with big data processing frameworks such as Apache Spark and Hadoop . Ability to communicate complex technical concepts to non-technical stakeholders . Exposure to Graph Neural Networks (GNNs) and recommendation engines . Understanding of AutoML frameworks and advanced hyperparameter tuning techniques . Job Type: Contractual / Temporary Pay: ₹700.00 - ₹900.00 per hour Experience: Python : 3 years (Required) TensorFlow: 3 years (Required) PyTorch: 3 years (Required) Scikit-learn: 3 years (Required) Work Location: In person