Lead Machine Learning Engineer
OpenTeamsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
FintechIndustries
Requirements
Candidates must possess a Master's or Ph.D. in Computer Science, Engineering, or a related field, with over 6 years of experience as a Machine Learning Engineer. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn is essential, alongside extensive experience with cloud platforms like AWS, GCP, or Azure and distributed computing frameworks such as Spark or Kubernetes. A proven history of implementing end-to-end machine learning pipelines, strong skills in model optimization, version control, CI/CD practices for machine learning, and excellent problem-solving and collaboration abilities are also required.
Responsibilities
The Senior Staff Machine Learning Engineer will own the entire lifecycle of machine learning projects, including data collection, preprocessing, model deployment, monitoring, and maintenance in production. This role involves building, maintaining, and optimizing data pipelines for model development and deployment at scale, and implementing machine learning algorithms and models that meet production requirements. The engineer will collaborate with data scientists, engineers, and product teams to design and deploy machine learning systems, continuously monitor and improve model performance, and leverage distributed computing and cloud platforms for efficient data processing. Staying current with advancements in machine learning and software engineering practices is also a key responsibility.
Skills
Machine Learning
Data Pipelines
Model Deployment
Model Monitoring
Model Maintenance
Hyperparameter Tuning
Production Environment
Flex
Comprehensive contract manufacturer for electronics
About Flex
Flex provides comprehensive electronics manufacturing services, originally starting with circuit board production for tech companies in Silicon Valley. The company automates its manufacturing processes to ensure reliability and cost-effectiveness, which has made it a trusted partner for various industries, including automotive, healthcare, and consumer electronics. Flex's services encompass design, engineering, manufacturing, and supply chain management, allowing businesses to outsource their production needs and focus on their core activities. A key differentiator for Flex is its subsidiary, Anord Mardix, which specializes in critical power solutions and custom products for clients with complex requirements. Additionally, Flex is dedicated to sustainability, aiming for a significant portion of its customers to adopt science-based emissions targets by 2025, reflecting its commitment to environmental responsibility.
Singapore, SingaporeHeadquarters
1969Year Founded
$200MTotal Funding
IPOCompany Stage
Industrial & Manufacturing, EnergyIndustries
10,001+Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Company Match
Company Equity
Unlimited Paid Time Off
Paid Holidays
Parental Leave
Profit Sharing
Risks
Integrating JetCool Technologies may lead to operational and cultural alignment challenges.
Partnership with Musashi Energy exposes Flex to risks of emerging technology failures.
Jamdeo joint venture faces competitive pressures in the smart TV and media streaming market.
Differentiation
Flex offers end-to-end manufacturing solutions, from design to supply chain services.
Anord Mardix, a Flex subsidiary, specializes in critical power solutions and custom offerings.
Flex's commitment to sustainability aligns with global efforts to combat climate change.
Upsides
Flex's acquisition of JetCool enhances its data center cooling solutions for AI servers.
Partnership with Musashi Energy boosts Flex's AI data center energy storage capabilities.
Flex's Zhuhai facility's AME Excellence Award highlights its world-class manufacturing standards.
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