Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
FintechIndustries
Requirements
Candidates should possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, along with 6+ years of experience as a Machine Learning Engineer with expertise in building and deploying machine learning models in production environments. Strong proficiency in Python or similar programming languages and experience with ML libraries such as TensorFlow, PyTorch, and scikit-learn are required, alongside extensive experience with cloud platforms like AWS, GCP, or Azure and distributed computing frameworks like Spark and Kubernetes.
Responsibilities
The Senior Staff Machine Learning Engineer will own the end-to-end lifecycle of machine learning projects, including data collection, preprocessing, model deployment, monitoring, and maintenance in a production environment. They will build, maintain, and optimize robust data pipelines to support model development and deployment at scale, implement machine learning algorithms and models to meet performance and scalability requirements, collaborate with data scientists, engineers, and product teams to design and deploy machine learning systems, continuously monitor and improve model performance through experimentation and tuning, and leverage distributed computing frameworks and cloud-based platforms to process large-scale datasets efficiently.
Skills
Machine Learning
Data Pipelines
Model Deployment
Model Monitoring
Data Preprocessing
Scalability
Performance Optimization
Collaboration with Data Scientists and Engineers
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.
Key Metrics
Singapore, SingaporeHeadquarters
1969Year Founded
$200MTotal Funding
IPOCompany Stage
Industrial & Manufacturing, EnergyIndustries
10,001+Employees