Essential Functions of the Job:
- Collaborates with key stakeholders in designing and proposing the required solution.
- Follows the industry best practices for designing and prototyping solutions.
- Enforces design and development governance structures, methodologies (architecture and engineering) and compliance activities to maintain regulatory compliance and enterprise standards
- Strong analytical skills capable of assessing complex business requirements from real world scenarios and the ability to translate them into solution design
- Ability to identify, prioritize and weigh different options to determine a best solution
- Design Artificial Intelligence strategies.
- Assist on research and development processes and other processes to make sure they fulfill the needs of AI strategies.
- Recognize the company’s goals and challenges faced by potential clients.
- Figure out the ways in which Artificial intelligence can be used to solve issues faced by clients and also enhance user experience.
- Collaborate with cross-functional teams to analyze the partner’s business and main areas where the application of AI can stimulate business growth.
- Work closely with the executives and stakeholders to finalize the design.
- Manage the AI team to perform tasks like the assessment of AI, automation market, etc.
- Analyze the final project, give feedback, determine areas of improvement, and help the project team to make necessary changes.
Skills Requirements:
- Experience in designing , strategizing enterprise solutions
- Good knowledge of machine learning, text extraction and image processing techniques;
- Strong application architecture experieice with knowledge in cloud based design and experience in creating IAD’s and on networking cloud based solutions
- Excellent knowledge of best practices, standards and processes, and a good understanding of ML engineering
- Strong verbal and written communication skills
- Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change
- Creating Artificial Intelligence Demonstrations use-cases and Workshop Materials
- Evaluate approaches in Machine Learning, Data Mining, and Analytics
Technology expertise
- Design tools, Visio, Miro, Archimate etc
- Knowledge on ML development stack
- Azure ML, ADB, ADF
- ML packages/frameworks
- Python/R
- REST based services
- Azure DevOps, CI/CD
- ADO pipelines / ML pipelines / Data pipelines
Required Experience:
- Bachelor’s Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline)
- 10+ years industry experience with 3+ years experience in Architecture
Desired Experience:
- Azure Cognitive Services
- ML Flow, ML Ops
- Delivery using modern methodologies especially SAFe Agile, Iterative, Waterfall, etc.
- Kubernetes, AKS
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