Description

What we're looking for:

• Python development
• Machine Learning
• Generative AI / LLM experience
• AI application development
• Azure AI
• Product-minded candidates who can work directly with business stakeholders
• Strong communication skills and business acumen

• Develop Advanced AI Solutions: Design and implement AI agents and applications that empower employees to grow and evolve how work gets done.
• Champion Inclusivity: Ensure all AI solutions are accessible, equitable, and reflective of diverse perspectives.
• Drive Innovation and Transformation: Apply AI technologies to reimagine customer interactions and enhance operational efficiency while maintaining a human-centric approach.
• Optimize and Evolve: Utilize AI for continuous process improvement, predictive analytics, and operational resilience.
• Architect for Scale and Reusability: Build scalable, reusable AI frameworks and patterns to support long-term business growth.
• Hands-On Development: Engage in coding, data preparation, and model training using tools such as Python, Azure, TensorFlow, and PyTorch—while exploring new technologies.
• Solve Complex Business Challenges: Collaborate across departments to identify pain points, envision future solutions, and deliver AI-driven enhancements whether through new models or iterative improvements.
• Deploy and Maintain: Rapidly test, deploy, and monitor AI models in production environments, ensuring reliability and responsiveness to issues.
• Integrate Across Systems: Seamlessly connect AI solutions with core business platforms, including ERP, CRM, and TMS systems.
• Ensure Security and Ethics: Uphold best practices for secure, fair, and responsible AI development through rigorous code reviews and risk assessments.
• Foster Knowledge Sharing: Promote team learning through documentation, standards, and collaborative sessions such as lunch-and-learns.
• Stay Ahead of the Curve: Continuously explore emerging tools, techniques, and opportunities to enhance AI capabilities and business impact.

Required Skills and Experiences:

• Solid Python skills and hands-on experience with ML frameworks like TensorFlow or PyTorch.
• Experience with building and deploying machine learning models and integrating them into real-world applications.
• Practical know-how with generative AI techniques.
• Problem-solving skills and the ability to troubleshoot and optimize ML and GenAI models in production.
• Familiarity with Azure AI, cloud services and data pipeline tools. 
• Knowledge of DevOps/MLOps practices, CI/CD pipelines, and version control.
• Ability to understand and model complex business processes.
• Excellent communication and collaboration skills.
• Open to candidates with 2–3 years of relevant experience, including recent grads who’ve worked on real-world AI projects (internships, research, or school projects).

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI, or related field.
• Experience with enterprise systems integration.
• Prior work in ML, GenAI, agentic AI, autonomous workflows, or business automation.
• Exposure to prompt engineering and AI evaluation frameworks.

Key Skills

Education

Bachelor's or Master's degrees