Requirements

Expected technologies

Python

REST APIs

Git

TensorFlow

PyTorch

Scikit-learn

Operating system

Linux

Our requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field (PhD preferred).
• 8-10 years of hands-on experience in AI/ML development, including at least 3 years in a leadership or solution architect capacity.
• Demonstrated success in delivering machine learning, deep learning, and generative AI projects in production environments.
• Exceptional programming proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or equivalent.
• In-depth expertise in LLMs, vision models, vector databases, and RAG applications.
• Strong command of Azure AI Studio, SharePoint, and basic Power BI forintegration and reporting purposes.
• Proven experience with Agentic frameworks and tools like LlamaIndex for intelligent system development.
• Outstanding problem-solving abilities, with a knack for translating business needs into technical solutions.
• Superior communication and leadership skills to manage teams, align stakeholders, and drive project success.
• Programming: Python, REST APIs, Git.
• AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn.
• Technologies: Machine Learning, Deep Learning, Generative AI, LLMs, OCR, Vision Models, Vector Databases, RAG Applications, Prompt Engineering.
• Azure Ecosystem: Azure AI Studio, Azure Cloud Architecture, Azure DevOps.
• Collaboration Tools: SharePoint, Power BI (basic proficiency).
• Frameworks: Agentic Frameworks, LlamaIndex.

Optional

• Experience with cloud platforms beyond Azure (e.g., AWS, GCP).
• Knowledge of DevOps practices (e.g., CI/CD pipelines, Kubernetes).
• Familiarity with AI ethics, governance, and compliance standards.
• Exposure to advanced visualization tools or BI platforms.
• Leadership: Team Management, Solution Architecture, Strategic Planning.
• Soft Skills: Problem-Solving, Communication, Innovation, Mentorship.

Your responsibilities

• Architect and implement scalable Generative AI (GenAI) systems leveraging Large Language Models (LLMs), vision models, and vector databases.
• Spearhead the design, development, and deployment of AI-driven solutions, including machine learning models, deep learning frameworks, and generative AI applications.
• Oversee seamless integration of AI solutions with Azure AI Studio, SharePoint, and Power BI for deployment, reporting, and visualization.
• Partner with cross-functional teams to shape AI strategies, and deliver high impact solutions.
• Provide technical leadership in implementing Agentic frameworks and tools like LlamaIndex to advance AI workflows.
• Mentor and empower a team of AI developers, fostering a culture of innovation, collaboration, and technical excellence.
• Stay at the forefront of AI advancements, proposing creative and practical solutions to address complex challenges.
• Enforce best practices in code quality, model optimization, and solution scalability to ensure robust production-ready systems.