Senior Platform Engineer, Machine Learning
Fieldguide$188,000 - $213,500/year
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology, Artificial Intelligence, AI & Machine LearningIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, and have at least 5 years of experience in AI/ML platform or infrastructure engineering, demonstrating a proven track record of leading and executing complex projects. Expertise in cloud-based solutions such as AWS, GCP, or Azure, along with knowledge of distributed systems and microservices architecture, is required, as is proficiency in Terraform, Docker, and advanced automation tools. Strong understanding of machine learning frameworks like TensorFlow and PyTorch, coupled with familiarity with MLOps practices, is also essential.
Responsibilities
The Senior AI/ML Platform Engineer will lead the design, implementation, and optimization of scalable machine learning infrastructure, ensuring robust and reliable deployment and monitoring of AI/ML models in production. They will develop and implement automation pipelines for model deployment and rollback, collaborate with data scientists and product managers to define platform requirements, drive performance tuning and cost optimization strategies, mentor junior engineers, conduct post-mortems for system failures, and provide technical guidance to cross-functional teams.
Skills
Machine Learning
AI Infrastructure
Model Deployment
Automation Pipelines
Monitoring
Scalability
Security
Cloud Platforms
Technical Leadership
Mentorship
Welocalize
Provides AI-driven content localization services
About Welocalize
Welocalize assists businesses in enhancing customer engagement by providing localized content that meets the cultural and linguistic needs of different regions. Their AI-enabled Service Delivery Platform, OPAL, streamlines the translation and approval processes, allowing companies to reduce costs and improve efficiency. Unlike competitors, Welocalize leverages AI and automation to deliver services more effectively, resulting in better business outcomes for clients. The company's goal is to empower businesses to connect with international customers through advanced localization solutions.
New York City, New YorkHeadquarters
1997Year Founded
$33.1MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees