Description :
SPECIFIC QUESTIONS ANSWERED :
What are the top required coding languages for this role? What other languages might be considered in lieu of those specified?
- Azure / Pipeline language
- Python
- UI dev
Does your team operate in an Agile / Scrum / Waterfall environment?
Agile / scrum environment come up with weekly planning but org is research / development
Will the contractor require or benefit from knowledge of non-MSFT or open-source technologies?
Is there a particular type of environment / industry this contractor should / should not come from?
Is there an existing code base or will the contractor need to code from scratch?
No - they are building code base already so contractor will have tasks already available for them to pickup and codebase will be built in
Who will be testing this contractors code?
Most senior engineer will be the one to approve code changes
What is the level of collaboration on this team? Does the team employ paired-programming or test-driven development?
The objective is to make sure they have efficient development as the team builds new products / ideas. This person will be a part of conversations but the context is focused on hands-on work and coding
Goals and objectives - Microsoft is looking to accelerate AI research and the development of use cases that can complement human ingenuity by increasing availability of industry-scale foundation models by engaging with the research community within Microsoft and outside Microsoft.
Through this program we hope to re-imagine AI learning and research using foundation models while also exploring new use cases that can complement human ingenuity through diversified academic expertise.
Summary :
About the role - We are seeking an enthusiastic software engineer with deep knowledge of Microsoft Azure AI tools and services and data engineering best practices.
The role involves a combination of participating in solution architecture discussions and hands-on software development testing and deployment.
Role Specifics :
- Experience : 3-5 years with Microsoft technologies required
- Design scalable reliable and optimized ML infrastructure on Azure using best practices
- Collaborate with cross-functional teams researchers data scientists and other stakeholders to gather requirements and develop AI-powered solutions
- Organize and manage ADO code repositories branches pull requests issues and workflows for code versioning collaboration and quality assurance
- Familiarity with modern LLM platforms such as OpenAI Llama and open-source large language models LLMs to create innovative applications
- Implement platform capabilities to support MLOps for foundation models including continuous integration continuous delivery testing monitoring and feedback
- Ensure the security and compliance of deployed models following regulatory guidelines data privacy and ethical considerations
- Prepare and maintain technical documentation reports and presentations to communicate AI methodologies results and recommendations
- Ability to multi-task and prioritize across varying workstreams
- Ensure appropriate systems development and development processes are utilized
Must Have skills :
- Azure Ecosystem and AI / ML 3 years tool experience - can develop prototypes / demos
- Experience in a similar fast paced role 5 year
Skills :
full stack development, azure, python, javascript
Additional Skills & Qualifications :
Candidate Requirements
bull Years of Experience Required : 5-7 overall years of experience in the field.
bull Degrees or certifications required :
o Computer science degree or related field is required
o Azure certification is great to have but not required. Hands-on experience is most important
bull Disqualifiers :
o If someone does not have exposure to Azure or hands-on experience
bull Best vs. Average :
o Someone who can ramp up quickly
o Prior Microsoft experience would be very beneficial IF that experience involves hands-on Azure technology experience
o Someone with relevant experience would be more aligned
o Someone who understands API system Azure etc.
o Previous experience in the same field is key
o Familiarity with work they want to accomplish solving problems - oriented
bull Performance Indicators :
o This resource will go through planning and expected resolutions. This person will successfully create pipelines and move to deployment - this will be measured involving deadlines / quality of work / results-oriented goals.
Experience Level : Intermediate Level
Intermediate Level