BPM LLP
What you get:
Who is successful at BPM:
About the role:
Key Responsibilities:
Required Skills & Experience
- Strong background in machine learning, data science, and applied AI.
- Proficiency with Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools.
- Experience building chatbots, copilots, or similar AI-driven automation.
- Solid programming skills with Python.
- Knowledge of MCP (Model Context Protocol) is a plus.
- Experience preparing datasets and building ML pipelines.
- Familiarity with product development lifecycles and agile delivery practices.
- Security-conscious mindset with knowledge of data protection best practices, especially when working with sensitive or regulated data.
- Strong problem-solving skills with ability to translate business needs into AI solutions.
- Excellent collaboration and communication skills to work across technical and non-technical teams.
- Ability to explain complex AI concepts simply to stakeholders.
- Bachelor’s degree in a relevant field along with at least 5 years of related work experience
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.
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
About this role & career path
Working in Canada
Canada is a country in North America. Its ten provinces and three territories extend from the Atlantic Ocean to the Pacific Ocean and northward into the Arctic Ocean, making it the second-largest country by total area, with the longest coastline of any country. Its border with the United States is the longest international land border. The country is characterized by a wide range of both meteorologic and geological regions. With a population of over 41 million, it has widely varying population densities, with the majority residing in its urban areas and large areas being sparsely populated. It
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