AI / ML Engineer

Preferred Qualifications

• Experience with cloud platforms (Azure preferred)
• Familiarity with frameworks and libraries such as OpenAI SDK, Azure AI SDK, LangChain, and Pandas.
• Knowledge of enterprise data governance, compliance, and responsible AI practices.
• Prior experience in professional services (accounting, consulting, or similar) a plus.

Knowledge & Experience

• At least 1 year of applied AI experience
• Proficiency with Azure OpenAI, Copilot Studio, Power Platform, and Microsoft ecosystem tools, with proven success embedding AI solutions into enterprise environments.
• Strong programming background in Python and SQL, with experience using frameworks and libraries like LangChain, Pandas, and Azure AI SDK.
• Experience building and deploying chatbots, Copilot extensions, and automation workflows that reduce manual work and improve efficiency.
• Skilled in data engineering and pipeline development, including preparation of structured and unstructured datasets for AI/ML use cases.
• Solid understanding of cloud platforms (Azure preferred), enterprise data governance, and responsible AI practices.
• Strong collaboration skills with ability to translate technical concepts into plain language for non-technical stakeholders.
• Able to work independently or in collaborative, cross-functional teams to deliver AI and data-driven solutions and helping shape a newly implemented Ai focused team at BPM.
• Strong analytical and problem-solving skills with ability to adapt quickly to shifting priorities and emerging technologies.
• Able to adjust quickly to the fast-evolving AI/ML landscape
• Skilled at translating complex technical concepts into plain language for non-technical colleagues and leadership.
• Effective at building trust and collaboration across diverse teams, including technical staff, business stakeholders, and leadership.
• Naturally curious, persuasive, and motivated to drive adoption of innovative technologies.
• Strong written and verbal communicator, with experience preparing clear documentation, training materials, and presentations.
• Adept at researching new AI tools, frameworks, and industry trends, and applying them to practical business use cases.
• Customer- and colleague-focused mindset, ensuring AI solutions align with real-world needs.
• Highly organized with ability to prioritize and execute tasks in high-pressure, deadline-driven environments.
• Persistent and results-oriented, with a track record of seeing projects through to completion.