Support Engineer 2 – Data Scientist, Python, ML

Scope

• Position is focused on building and supporting AI-powered automation workflows for infrastructure and enterprise operations use cases.
• Develop solutions such as chatbots, AI assistants, workflow automations, and task orchestration systems.
• Work closely with DevOps, Infrastructure, Platform Engineering, and Application teams.
• Translate operational requirements (e.g., service requests, provisioning tasks, support workflows) into automated AI-driven solutions.
• Build reusable components for prompt handling, API integrations, and workflow orchestration.
• Contribute to improving operational efficiency through automation and AI enablement.
• Support deployment, monitoring, and continuous improvement of AI-powered solutions.

Our Current Technical Environment

• Cloud Architecture: MS Azure
• Programming: Python
• AI/LLM Platforms: Azure OpenAI / OpenAI APIs (or similar)
• Automation / Workflow Tools: REST APIs, Webhooks, Workflow engines (e.g., Logic Apps, n8n-like systems)
• DevOps / Tools: Git, CI/CD pipelines, Azure DevOps
• Frameworks / Others: Prompt Engineering, API Integration, Microservices, Automation Frameworks

What You’ll Do

• Design and build Python-based automation solutions for infrastructure and operations use cases.
• Develop AI-powered assistants and workflow automation systems using LLM APIs and prompt-based logic.
• Integrate with enterprise systems using REST APIs, webhooks, and service integrations.
• Build reusable modules for prompt templates, API orchestration, and automation workflows.
• Translate business and operational requirements into working AI-driven solutions.
• Automate repetitive tasks such as service requests, provisioning workflows, validations, and reporting.
• Collaborate with DevOps and platform teams to deploy and manage solutions in cloud environments.
• Ensure solutions are scalable, maintainable, and production-ready.
• Debug issues, perform root cause analysis, and continuously improve automation workflows.
• Implement logging, monitoring, and basic observability for automation solutions.
• Contribute to documentation, knowledge sharing, and reusable solution patterns.
• Stay updated with emerging AI capabilities and experiment with new tools/frameworks.

What We Are Looking For

• Bachelor’s degree in engineering, Computer Science, Information Technology, or a related field.
• 2–4 years of overall IT experience, with at least 2+ years of hands-on experience in Python development, automation, or applied AI solutions.
• Strong programming skills in Python, including scripting, API integration, and modular code development.
• Experience working with REST APIs, JSON, and system integrations.
• Exposure to AI/LLM technologies, prompt engineering, or AI-based application development.
• Understanding of automation workflows, orchestration concepts, and event-driven systems.
• Familiarity with cloud platforms (preferably Azure) and deploying applications/services.
• Experience with Git, CI/CD pipelines, and basic DevOps practices.
• Strong problem-solving skills and ability to break down real-world problems into automation solutions.
• Good understanding of software engineering fundamentals (code quality, testing, modularity).
• Strong curiosity and willingness to learn AI tools, frameworks, and evolving technologies.
• Ability to work collaboratively with cross-functional teams.
• Good communication and documentation skills.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.