Brixio Singapore
Cybersecurity • SaaS • Cloud
Brixio Singapore is a global IT company that specializes in providing tailored offshore IT solutions to drive business growth through innovation. With deep expertise in cloud services, cybersecurity, and digital transformation, Brixio offers a broad range of services including application development, managed services, and IT talent outsourcing. They are committed to enhancing security, ensuring compliance, and delivering high-quality, flexible IT solutions designed to meet the unique needs of businesses in a rapidly evolving tech landscape.
Machine Learning Operations (ML/Ops) Engineer - Team Lead
Job not on LinkedIn
July 29
Brixio Singapore
Cybersecurity • SaaS • Cloud
Brixio Singapore is a global IT company that specializes in providing tailored offshore IT solutions to drive business growth through innovation. With deep expertise in cloud services, cybersecurity, and digital transformation, Brixio offers a broad range of services including application development, managed services, and IT talent outsourcing. They are committed to enhancing security, ensuring compliance, and delivering high-quality, flexible IT solutions designed to meet the unique needs of businesses in a rapidly evolving tech landscape.
📋 Description
• Lead a team of ML/Ops engineers in deploying and managing Machine Learning models. • Build and enhance capabilities to seamlessly integrate ML models into existing pipelines. • Collaborate with cross-functional teams to understand project requirements and ensure successful deployment. • Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency. • Utilize Python for scripting and automation tasks. • Work with Cloud platforms, particularly Azure and GCP to optimize machine learning workflows.
🎯 Requirements
• For Team Lead Position: • At least 3 years of experience in ML/Ops or a related field. • Proven leadership skills with the ability to guide and inspire a team. • Excellent communication skills to effectively liaise with clients and internal teams. • For ML/Ops Engineer Position: • Strong experience in deploying Machine Learning models. • Proficiency in Python for scripting and automation. • Hands-on experience with Cloud platforms, particularly Azure and GCP. • Prior experience in addressing scalability and pricing concerns in ML operations.
🏖️ Benefits
• Health Insurance/HMO (if residing in Philippines) • Paid training • Work from home • Schedule: 8-hour shift (UAE Time: 9:00AM-6:00PM) • Flextime Monday to Friday • Supplemental pay types: 13th month salary • Overtime pay
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