Job Description

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.
Requirements

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.
Job Type: Full-time

Pay: ?100,000.00 - ?300,000.00 per month

Work Location: Remote