Senior ML Platform Engineer

Wymagania

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.

• Experience in leading and delivering complex cross-team projects.

• Production experience with Python, Spark, and Kubernetes.

• Experience in MLOPS and AI 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.

Oferujemy

• Accelerate your professional growth with unique career opportunities.

• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.

• Take care of your physical and mental health with our wellness perks.

• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.

• Connect with colleagues at annual company events and smaller team gatherings.

• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

Zakres obowiązków

• 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 the best cost-performance.

• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.

• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.

• Raise our product and technical quality bar, promoting software engineering best practices.

Opis

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. We own training orchestration, an inference software stack and infrastructure, and a 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), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! - Some perks may differ depending on your location and role. 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 the best cost-performance. Proactively solve technical challenges, discover and build new features, enabling develop efficiency. Support our internal users and help with troubleshooting, and turn user problems into scalable solutions. Raise our product and technical quality bar, promoting software engineering best practices. 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering. Experience in leading and delivering complex cross-team projects. Production experience with Python, Spark, and Kubernetes. Experience in MLOPS and AI 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. Accelerate your professional growth with unique career opportunities. Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you. Take care of your physical and mental health with our wellness perks. Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge. Connect with colleagues at annual company events and smaller team gatherings. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.