Azure Ai/ml Expert

2 months ago


Bengaluru, India Bosch Group Full time

Company Description

BGSW

**Job Description**:
Key responsibilities for this role:

- 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.
- knowledge in machine learning and data mining techniques and algorithms, specializing in one or more of the following areas: predictive modeling, time series analysis/forecasting, text mining/natural language processing, constraint optimization, computer vision, and information retrieval.
- Ensures project dependencies and integrations are developed
- Responsible for data migration strategy and overseeing the data migration activities of the project.
- 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.

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.

**Qualifications**:
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

Additional Information

1. Application Development
- Act as technical lead for the projects on Azure PaaS.
- Responsible for Design, development, deployment, and support for the solution being developed.
- Review the solution in terms of design principles and industry best practices.
- Implement coding best practices and ensure that the development works comply with the guidelines.

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

5. 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


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