
Machine Learning Architect
2 days ago
As a Senior AI/ML Developer, you will be part of a dynamic team working on the development and implementation of Machine Learning (ML) solutions in a cloud environment.
Job Description:
The successful candidate will have expertise in designing and implementing data pipelines, as well as experience with ML algorithms and data processing. They will work closely with the Data Science team to bring AI/ML solutions into production and automate processes.
Key Responsibilities:
- Developing high-performing, scalable, enterprise-grade ML/AI applications in a cloud environment.
- Working with cross-functional teams to implement ML models into production.
- Designing and implementing data pipelines for efficient data processing.
- Practical and innovative implementations of ML automation for scale and efficiency.
- Defining and implementing best practices in ML model life cycle and ML operations.
- Implementing AI/MLOps frameworks and supporting Data Science teams in best practices.
- Staying up-to-date with modern techniques, tools, and frameworks in ML architecture and operations.
Required Skills and Qualifications:
- Strong understanding of ML/AI concepts, including types of algorithms, machine learning frameworks, and model efficiency metrics.
- Experience in programming ML algorithms and data processing pipelines using Python.
- At least 6-8 years of experience in production-ready code development.
- Excellent communication and teamwork skills.
- Ability to take ownership of tasks and deliverables.
- Great problem-solving skills and critical thinking.
- Fluency in written and spoken English.
Benefits:
- 100% remote work option.
- Flexible working hours.
- Full-time position.
- Comprehensive online onboarding program with a dedicated buddy.
- Opportunities for growth and professional development.
- Autonomy to choose the way you work.
Other Opportunities:
- Upskilling support through training programs and workshops.
- Access to the Udemy learning platform.
- Unlimited opportunities for knowledge sharing and community engagement.
- Diverse, inclusive, and values-driven community.
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