Staff Machine Learning Engineer
MadhiveSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
FintechIndustries
Requirements
Candidates must have a Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related technical field, with over 6 years of experience in machine learning, including at least 3 years in senior or staff-level roles. Expertise in Python and ML libraries like TensorFlow, PyTorch, and scikit-learn is essential, along with extensive experience in cloud platforms (AWS, GCP, Azure), ML infrastructure tools, distributed computing, and data workflow tools. A proven track record of designing, building, and deploying end-to-end ML systems at scale in production, strong background in performance optimization, version control, CI/CD, and managing the ML model lifecycle are also required, as are excellent analytical and problem-solving skills.
Responsibilities
The Senior Staff AI/ML Engineer will lead the design, development, and deployment of scalable machine learning models for high-impact fintech applications, managing the full ML lifecycle from research to monitoring. They will collaborate with cross-functional teams to translate business challenges into ML solutions, build and optimize robust ML systems for production, and continuously monitor and enhance model performance. Responsibilities also include utilizing distributed computing frameworks and cloud-native platforms for data pipelines and MLOps workflows, evaluating and adopting state-of-the-art AI/ML tools, championing responsible AI practices, and staying current with emerging trends in AI and machine learning.
Skills
Machine Learning
AI
Model Development
Model Deployment
Scalability
Production Environments
Data Exploration
Model Training
Model Evaluation
Model Monitoring
Hyperparameter Tuning
Fintech
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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