Senior Machine Learning Engineer (m/f/d)
Berlin, India, Remote
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Hello 👋 I am Adriano,
Machine Learning Lead at Kayzen, and I am now looking for a Machine
Learning Engineer who will be a part of the machine learning engineering
team bridging the gap between machine learning and ad systems
engineering team 🙌
But wait, you have not heard of Kayzen before? 😃
Kayzen powers the world’s best mobile marketing teams to take
programmatic advertising in-house. Built on the three key pillars of
performance, transparency and control, Kayzen is a DSP which enables
leading app developers, agencies, media buyers and D2C brands to run
programmatic user acquisition, retargeting, and branding campaigns in
self-serve or managed service mode.
With an unprecedented scale of
>160bn daily ad requests from 2bn+ unique users worldwide, we serve
more than 500M ads per day to 180 countries. Kayzen is accessible
through our APIs or user interface.
The role
Are you a problem-solver, passionate about pushing
the boundaries of machine learning in production? Do you thrive in a
collaborative environment where you can both lead and be led, contributing your expertise while learning from others?
At Kayzen, we're revolutionizing the AdTech space with machine learning, and we're looking for a dedicated and proactive Senior Machine Learning Engineer to join our team. If you love the Machine learning craft and want to help us build a world-class ML infrastructure and processes, we want to hear from you!
Day to day
As a Senior Machine Learning Engineer, you'll be a key member of the
Machine Learning Engineering team, bridging the gap between data science
and ad systems engineering. You'll tackle the challenge of creating
innovative solutions for petabyte-scale data models. Your work will span
a wide range, from developing libraries and infrastructure to
accelerate experimentation and deploying hundreds of models, to
researching cutting-edge technologies.
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Accelerate Experimentation and Deployment: Create solutions to streamline our model experimentation and deployment processes.
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Robust Model Monitoring: Maintain and enhance our model monitoring capabilities to ensure optimal performance in production.
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Collaborate with Data Scientists: Partner with data
scientists to develop new models, research novel methods, and create
the best models for each use case within our AdTech platform.
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Productionalize Pipelines: Develop and productionalize model creation pipelines for our ML models in both bare-metal and cloud environments.
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Drive Innovation: Propose and lead projects to continuously improve our machine learning capabilities.
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Team Player: Contribute to a culture of continuous learning and improvement within the team.
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Champion Software Engineering Best Practices:
Promote and implement software engineering best practices (version
control, code review, testing, CI/CD) to ensure the reliability,
maintainability, and scalability of our machine learning systems
Sounds like you? 😉
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Experienced Practitioner: 5+ years of proven
professional experience in deploying big data-based models from
conceptualization to deployment, ensuring sustained performance in
production. Experience with ML tools (AWS Sagemaker, AIM, Catboost, VW,
Redash, etc)
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Machine Learning Mastery: Proven experience with
Machine Learning techniques (Neural Networks, Random Forest, etc.) and
ML frameworks (Catboost, Mlflow, PyTorch, Tensorflow, etc.).
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Programming Proficiency: Fluency in relevant programming languages (Python, Java, etc.).
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Data Expertise: Strong proficiency in SQL & NoSQL and big data processing pipelines (we use Python, Spark, Airflow).
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Quantitative Background: Bachelor's/Master's degree in Mathematics, Physics, Computer Science, Machine Learning Engineering or a related field.
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Data Enthusiast: A genuine passion for working with data and uncovering insights.
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Problem Solver: Strong analytical and problem-solving skills to tackle complex challenges.
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Business Acumen: Ability to translate business requirements into solutions.
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Effective Communication: Excellent stakeholder management and communication skills.
Nice to have:
- Deep Learning Experience: Familiarity with deep learning techniques and applications.
- Clickhouse & AdTech: Prior experience with Clickhouse and/or the ad-tech industry.
- Real-Time Processing: Experience with real-time big data processing.
What do we offer?
- Exceptional career growth and learning opportunity
- A unique opportunity to be part of an experienced team of industry
experts and entrepreneurs who bring massive change to the Adtech market
- Direct, day-to-day work experience with the management
- A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Turkey, the UK and soon more countries
- A flexible work-from-home arrangement
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget