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Position: Machine learning Infrastructure Engineer
Client: Meta (Sigma)
Location: California (Bay Area)
Duration: 12 Months
Job Type: Contract on C2C
Work Type: Onsite
Job Description:
We are seeking a highly skilled and motivated individual to join our team as a Machine.
learning Infrastructure Engineer. In this role, you will be responsible for designing and
implementing systems to support ML development for sensor systems.
This role requires experience in software engineering with a deep understanding of software.
infrastructure and machine learning (ML) systems.
Design and develop systems to support Machine Learning algorithm development.
within the team.
Own the system design that will cater to multi-modal input, quick prototyping of
algorithms, visualization tools and state-of-the-art ML algorithm architecture
development.
Build distributed systems and pipelines for data management, ensuring scalability,
reliability and performance.
Demonstrate a deep understanding of DevOps practices and apply them to ML
operations.
Handle the complexities of designing and implementing ML infrastructure systems in
a dynamic and fast-paced environment.
Contribute to the overall impact of the team by delivering robust and efficient ML
infrastructure.
QUALIFICATIONS
Bachelor's degree in computer science or a related field.
Minimum 5+ years of experience in software engineering, with a focus on
infrastructure design.
5+ years' experience in Python and C++.
Proven experience in designing complex systems and strong software engineering.
skills.
Strong understanding and experience with distributed systems and infrastructure
design.
Demonstrated expertise in DevOps practices, with a focus on ML.
Experience with ML pipeline automation and data management in ML workflows.
Previous experience building ML systems and working on ML adjacent teams.
Demonstrated experience in cross-group and cross-culture collaboration.
Familiarity with the emerging Augmented Reality and Virtual Reality technologies.
Lenora System® is an equal opportunity employer supporting workforce diversity