Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du skalierbare MLOps-Systeme, implementierst Machine Learning-Modelle und optimierst Datenmanagementstrategien, während du Teams mentorierst und die Standards für Modellmanagement definierst.
Job Technologien
Deine Rolle im Team
- We're looking for a Senior Machine Learning Engineer who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.
- Design and implement enterprise-scale MLOps systems and platforms (including data ingestion, feature pipelines, model training, validation, deployment and monitoring), setting standards for high-performance ML products.
- Productionalize and support scalable and efficient Machine Learning models and solutions.
- Define and enforce standards for model lifecycle management, including versioning, monitoring, alerting, traceability and highly available low-latency inference systems.
- Refine and contribute to advanced data management strategies, optimizing for performance given extensive data loads.
- Mentor teams and provide guidance for machine learning engineering deployment practices, promoting a culture of excellence.
- Navigate complex problem-solving situations, contributing to decisions that affect the broader business's strategic direction.
- Utilize CI/CD best practices to ensure the enterprise keeps with innovative practices and remains efficient, through engagement with ML and MLOps evolution outside of the organization.
- Enable safe deployment strategies like shadow, canaries & gradual rollout.
Unsere Erwartungen an dich
Ausbildung
- Advanced degree in Computer Science, Engineering, or a related field, or equivalent experience.
Qualifikationen
- Expertise in high-performance backend technologies, preferably including Golang.
- Deep knowledge of machine learning operationalization, including current trends, tools, and frameworks.
- Proven problem-solving prowess, capable of pioneering novel solutions to sophisticated technical challenges.
- A love of technology, or thirst for knowledge, or curiosity about the world, or a desire to solve the hardest problems.
Erfahrung
- Extensive experience with cloud and/or on-premises distributed systems, data-intensive applications, and large-scale backend system design.
- Experienced in software development, deployment, and continuous improvement of complex CI/CD pipelines.
Unser Angebot
- Comprehensive health, dental, and vision plans for you and your dependents.
- Paid time off, health days, and personal obligation days plus flexible work schedules.
- Competitive retirement matching plans.
- Equity packages.
- Generous parental leave available to birthing, non-birthing, and adoptive parents.
- Annual well-being allowance plus fitness discounts and group wellness activities.
- Commuter benefits and discounts, where available.
- Employee assistance program.
- Mental health first aid program that provides an in-the-moment point of contact and reassurance.
- One day of volunteer time off per year and a donation-matching program.
- Bi-weekly town halls and regular community-led team events.
- Multiple resources and programming to support continuous learning.
- A workplace that supports a diverse, equitable, and inclusive environment.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Index Exchange
Als Pionier in der Ad-Tech-Branche bietet Index Exchange eine transparente Plattform, die Medieninhabern hilft, den Wert ihres digitalen Inventars zu maximieren. Das Unternehmen verbindet Publisher direkt mit Werbetreibenden und bearbeitet täglich Hunderte von Milliarden Anfragen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Machine Learning Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
