Align Technology
Website:
aligntech.com
Company:
https://www.linkedin.com/company/align-technology
Seniority: Associate
Industries: Medical Equipment Manufacturing
Job details:
Department: Information Technology
Location: APAC-India-IT Delivery Center Hyderabad
Description
In this role, you will work within a team of software developers to help integrate machine learning algorithms into fast, reliable software modules, services, and libraries that can run in the cloud. You will interface and collaborate with machine learning engineers, software engineers, and various stakeholders to deliver production-ready software for use at Align in accordance with software engineering best practices.
Key Responsibilities
- Provide technical insight to help make architecture and design decisions for AI/ML services
- Create fast/reliable implementations using a variety of tools (primarily Python and AWS)
- Suggest and develop new and emerging technologies
- Closely collaborate with machine learning engineers, SQA, data engineers, and other internal teams
- Improve existing source code with an emphasis on performance, testing, and deployment
Skills, Knowledge & Expertise
In this role, you’ll need…
- 6-10 years of professional software development experience
- Experience with object-oriented Python
- Experience AWS (EC2, lambda functions, S3, SQS and others)
- Experience using version control and CI/CD tools (Git, Bamboo or equivalent)
- Experience with software architecture and design patterns
- Familiarity with Kafka and REST APIs
- Familiarity with C++, Java, or another strictly typed language
- Some familiarity with machine learning algorithms is a plus
- Bachelor’s degree in computer science, engineering, or equivalent
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Equal Opportunity Statement
Align Technology is an equal opportunity employer. We are committed to providing equal employment opportunities in all our practices, without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, disability, sexual orientation, gender identity or expression, or any other legally protected category. Applicants must be legally authorized to work in the country for which they are applying, and employment eligibility will be verified as a condition of hire.
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