Vacancy expired!
It takes a passion for technology to develop ground-breaking products. Working collaboratively and creatively as part of a close-knit product team, you will be part of the development process from end to end: consulting users, carrying out experiments, tackling complex business problems and implementing new products. You can balance customer needs with business goals and know how to deliver technical solutions that enhance business value. Creative, curious, and highly analytical, you never stop learning and thrive on constant change in the digital marketplace.
Qualifications and RequirementsBasic Qualifications- Bachelor’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required
- 8+ years of relevant work experience
- In-depth Experience as a software developer working with product teams.
- In-depth knowledge of programming languages/platforms such as C#, .NET, Azure, cloud-based SaaS, and PaaS solutions is preferred.
- In-depth knowledge of relational databases such as MS and SQL server are preferred.
- In-depth Experience with API design and integration is preferred.
- Exceptional communication skills
- Advanced Microsoft .NET (C#)
- ML Engineer - Python/Scala/R
- HTML5/CSS3/JavaScript
- JavaScript Frameworks (ReactJS)
- Responsive design
- W3C Standards
- Microsoft Azure
- Extract Transform Load (ETL)
- Security and Data Protection
- Data Storage Solutions
- Reusable Code and Libraries
- Server-Side Logic
- Database Schemas
- Data Migration and Scripting
- Authentication/Authorization
- Security Compliance
- Unit Testing
- Endeca and other search technologies
- Microsoft SQL Server Scripting and Data Models
- W3C Standards
- API designs (REST & SOAP)
- Automated/Performance Testing
- Stateless/Sessions Design
- Distributed Servers
- Continuous Integration
- Web Server/IIS Configuration
- ML Engineer - Container Orchestration (Kubernetes, Docker)
- ML Engineer - Model Development and Deployment (MLFlow, Azure ML)
- ML Engineer – Data Science Libraries and Algorithms (TensorFlow, Scikit, PyTorch)
Vacancy expired!