AI Software Engineers (Senior Level)

AI Software Engineers (Senior Level)

Posted On: February 21, 2025   Apply before: Vacancy expired ! from now
Openings: 2

Basic Job Information

Job Specification

• At least 4+ years of experience in AI/ML development, with hands-on exposure to .NET technologies.
• Strong expertise in machine learning, deep learning, and data analytics.
• Experience in building and integrating AI-powered solutions within software applications.
• Proficiency in .NET (C#) or Python, and AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Knowledge of Azure AI Services, Cognitive Services, and Azure Machine Learning.
• Hands-on experience with data processing, feature engineering, and model deployment.
• Familiarity with SQL and NoSQL databases for AI-driven applications.
• Understanding of REST APIs, microservices architecture, and cloud-based AI solutions.

Technical Requirements

• Develop and implement AI and machine learning models into .NET applications.
• Design and train predictive models, recommendation systems, and NLP solutions.
• Work with Azure AI Services to enhance application intelligence.
• Implement computer vision, speech recognition, and natural language processing (NLP) solutions where required.
• Build and optimize AI-driven features within .NET applications.
• Develop microservices-based AI solutions using C# and .NET Core.
• Ensure seamless integration of AI models with SQL Server, Redis, and other databases.
• Optimize AI workflows for performance, scalability, and reliability.
• Preprocess and analyze structured and unstructured data for AI training.
• Deploy, monitor, and maintain AI models in production environments.
• Utilize Azure Machine Learning, Kubernetes, and CI/CD pipelines for model deployment and scaling.
• Work with Azure AI, Azure ML, and cloud-based AI solutions for scalable deployments.
• Implement CI/CD pipelines for automating AI model updates and software releases.
• Optimize AI applications for cloud-native environments.
• Ensure AI models follow ethical AI principles, data privacy, and security best practices.
• Implement data governance and secure AI deployment strategies.

We Offer

• Attractive salary based on experience and qualifications (We Pay in USD)
• Gratuity Bonus
• Provident Fund
• Festival Expense Allowance
• Quarterly Bonus
• Incentive Bonus
• Medical and Accidental insurance
• Open International Work Environment
• Regular Salary Revision Based on Performance
• 5 Working Days per Week
• Breakfast, Lunch and Snacks
• Paid Paternity, Maternity, Marriage, Sick and Casual Leave
• Regular Team Building Activities
• Flexible Timing
• Chance to be part of new international company

*Only shortlisted candidates will be called for interviews

Dolphin Dive Technology is an equal opportunity employer

• Develop and implement AI and machine learning models into .NET applications.
• Design and train predictive models, recommendation systems, and NLP solutions.
• Work with Azure AI Services to enhance application intelligence.
• Implement computer vision, speech recognition, and natural language processing (NLP) solutions where required.
• Build and optimize AI-driven features within .NET applications.
• Develop microservices-based AI solutions using C# and .NET Core.
• Ensure seamless integration of AI models with SQL Server, Redis, and other databases.
• Optimize AI workflows for performance, scalability, and reliability.
• Preprocess and analyze structured and unstructured data for AI training.
• Deploy, monitor, and maintain AI models in production environments.
• Utilize Azure Machine Learning, Kubernetes, and CI/CD pipelines for model deployment and scaling.
• Work with Azure AI, Azure ML, and cloud-based AI solutions for scalable deployments.
• Implement CI/CD pipelines for automating AI model updates and software releases.
• Optimize AI applications for cloud-native environments.
• Ensure AI models follow ethical AI principles, data privacy, and security best practices.
• Implement data governance and secure AI deployment strategies.