Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable MLOps systems, implement machine learning models, optimize data management strategies, mentor teams, and define standards for model lifecycle management.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- Advanced degree in Computer Science, Engineering, or a related field, or equivalent experience.
Qualifications
- 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.
Experience
- 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.
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What we offer
- Umfassende Kranken-, Zahn- und Sehversicherungspläne für Sie und Ihre Angehörigen.
- 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.
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Topics that you deal with on the job
Job Locations
This is your employer
Index Exchange
As a pioneer in the Ad-Tech industry, Index Exchange offers a transparent platform that helps media owners maximize the value of their digital inventory. The company connects publishers directly with advertisers and processes hundreds of billions of requests daily.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Machine Learning Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
