Azure AI/ML Expert

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions.
With over 20,000 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

• Technical SME on Microsoft Azure and AI/ML.
• Ensures design and development adhere to the architectural design principles and non-functional requirements of the project.
• Extensive knowledge and experience in machine learning and data mining techniques and algorithms,
  • Understanding different ML algorithms, data preprocessing techniques, model training and evaluation, and deployment of ML models
  • Specializing in one or more of the following areas: predictive modeling, time series analysis/forecasting, text mining/natural language processing, constraint optimization, computer vision, information retrieval and Reliability Engineering.
• Proof of Concept Development: Creating proof of concepts (POCs) to demonstrate the feasibility and value of AI/ML solutions.
• AI/ML Based Automation: Responsible for developing and implementing artificial intelligence and machine learning-based automation solutions to optimize various processes and improve efficiency.
• Ensures project dependencies and integrations are developed
• Responsible for data migration strategy and overseeing the data migration activities of the project.
• Review and Implement DevOps best practices, apply CI and CD principles (best practice) in supporting the build & release life cycle.
• Coordinate with vendor teams and cross-functional teams to deliver project and support activities.
• Responsible for the transition from the project to the Business-As-Usual operation.

Qualifications

• Solutioning Experiences: 8+ years of experience with managing implementation lifecycle for delivery of ML and analytics solutions. Work experience should involve presales support, risk management, technical consulting, solution design, project envisioning, planning, development, deployment, and management.
• AI Experience: 4-5 years of AI (Machine learning, Intelligent Apps/Agents, Search) experience in enterprise public cloud-based solutions.
• Knowledge of Cloud Platform: Strong understanding of Cloud Platforms platform (infrastructure components, security) and its Analytics capabilities and the role it plays in AI solutions.

Education: Bachelor’s degree in Computer Science or a similar information technology-related discipline.

Technical Skillset:

• Azure administration, Azure development( Azure Data Factory, logic App, Azure Bricks , Azure App Service,Azure Synapse,Azure mySQL FlexiServer ,Azure SQL DB ),Azure DevOps, Azure CI/CD Pipelines
• Programming Languages: C#, Java, JavaScript, Python, and R to build and implement models
• SQL, NoSQL Databases
• Microsoft Azure Certification
• Reporting Tools -PowerBI /QlikView/ Tableau

Additional Information

Soft Skills:

• Excellent Communicator and Collaborator:
• Strong relationship-building, negotiation, organizational, presentation, written, and verbal communication skills.
• Ability to effectively collaborate across teams and drive meaningful outcomes with corporate, field, partner, and customer stakeholders.

Application Development

• Act as technical lead for the projects on Azure PaaS.
• Responsible for Design, development, deployment, and support for the solution being developed.
• Act as a primary technical point of contact for all dependent projects and applications.
• Review the solution in terms of design principles and industry best practices.
• Conduct a code review of the application and provide feedback to vendor teams to optimize the application.
• Implement coding best practices and ensure that the development works comply with the guidelines.
• Understand the application and will be responsible for the technical aspects of the solution go-live.

2. DevOps Expertise:

• Contribution to a DevOps culture and be comfortable with a continuous delivery environment.
• Create CI/CD pipeline for build, release, and configuration management of Azure environments.
• Investigate and develop skills in new technologies and suggest ways to improve and reduce operational costs with adaptive performance tuning.
• Create tools and scripts that help automate deployments and continuously improve work efficiency through development tools.
• Automate and develop scalable systems using cutting-edge technologies.

3. Operation Support:

• Take ownership of all Azure Cloud environments
• Primary contact for all technical clarifications
• Provide guidance and recommendations on key priority issue fixes and help fix critical issues wherever necessary.
• Assist the team in troubleshooting key technical issues and in identifying root causes.
• Coordinate task assignments within the technical teams
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