Senior Machine Learning Ops Engineer
Warsaw, Poland
Bolt
Bolt powers frictionless experiences for retailers and customers at every step of the shopping journey—from login to checkout.With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
About the role
The Model Lifecycle team owns Machine Learning platform, making ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for 100+ ML systems across whole company.
We own training orchestration, inference software stack and infrastructure, Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.
Our tech stack includes Typescript, Python, Spark (batch and structured streaming), Redis, ElasticSearch, Kubernetes, Airflow, Mlflow, Jenkins, AWS (Sagemaker, S3, EKS).
Main tasks and responsibilities:
- Designing, building and optimising components of Bolt’s ML Platform.
- Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
- Tune infrastructure (k8s and AWS) and build automations to achieve best cost-performance.
- Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
- Support our internal users and help with troubleshooting.
- Raise our product and technical quality bar, promoting software engineering best practices.
About you:
- 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS.
- Experience in leading and delivering complex cross-team projects.
- Production experience with Python, Spark, and Kubernetes.
- Experience in MLOPS ecosystem, and developing end-to-end ML/AI solutions at scale.
- You strive for technical excellence while staying pragmatic to achieve outcomes for the users.
Experience is great, but what we look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!
Why you’ll love it here:
- Play a direct role in shaping the future of mobility.
- Impact millions of customers and partners in 600+ cities across 50+ countries.
- Work in fast-moving autonomous teams with some of the smartest people in the world.
- Accelerate your professional growth with unique career opportunities.
- Get a rewarding salary and stock option package that lets you focus on doing your best work.
- Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
- Take care of your physical and mental health with our wellness perks.
*Some perks may differ depending on your location.
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS CI/CD Elasticsearch Engineering Jenkins Kubernetes LLMs Machine Learning MLFlow ML infrastructure MLOps Python RAG SageMaker Spark Streaming Testing TypeScript
Perks/benefits: Career development
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