Artificial Intelligence Developer

Job Summary

We are seeking a skilled and motivated AI Developer with over 3+ years of hands-on experience in building, deploying, and optimizing AI/ML models. The ideal candidate will have strong proficiency in Python, Scikit-learn, machine learning algorithms, and practical experience of Azure AI services, Azure AI foundry, Copilot Studio, and Dataverse are mandatory. You will play a key role in designing intelligent solutions using modern deep learning and neural network architectures, integrated into scalable cloud-based environments.

Key Responsibilities

• Utilize Azure AI Foundry and Copilot Studio to build AI-driven solutions that can be embedded within enterprise workflows.
• Design, develop, and implement AI/ML models using Python, Scikit-learn, and modern deep learning frameworks.
• Build and optimize predictive models using structured and unstructured data from data lakes and other enterprise sources.
• Collaborate with data engineers to process and transform data pipelines across Azure-based environments.
• Develop and integrate applications with Microsoft Dataverse for intelligent business process automation.
• Apply best practices in data structures and algorithm design to ensure high performance and scalability of AI applications.
• Train, test, and deploy machine learning, deep learning, and neural network models in production environments.
• Ensure model governance, performance monitoring, and continuous learning using Azure MLOps pipelines.
• Collaborate cross-functionally with data scientists, product teams, and cloud architects to drive AI innovation.
  

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
• 3+ years of hands-on experience in AI/ML development.
• Practical experience with Copilot Studio and Microsoft Dataverse integrations is mandatory.
• Expertise in Microsoft Azure is essential, particularly with services such as Azure Machine Learning, Azure Data Lake and Azure AI Foundry.
• A deep understanding of these tools is paramount, as they form the foundation of the AI and data architecture within the organization.
• Proficiency in Azure will be prioritized over other platforms or tools.
• Proficiency in Python and machine learning libraries like Scikit-learn, Pandas, NumPy.
• Solid understanding of data structures, algorithms, and object-oriented programming.
• Experience with data lakes, data pipelines, and large-scale data processing.
• Deep understanding of neural networks, deep learning frameworks (e.g., TensorFlow, PyTorch), and model tuning.
• Familiarity with MLOps practices and lifecycle management on cloud platforms.
• Strong problem-solving abilities, communication skills, and team collaboration.
  

Preferred Qualifications

• Azure AI or Data Engineering certification.
• Experience in deploying AI-powered applications in enterprise or SaaS environments.
• Knowledge of generative AI or large language models (LLMs) is a plus.
• Exposure to REST APIs, CI/CD pipelines, and version control systems like Git.
  

(ref:hirist.tech)