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Senior ML Platform Engineer
Bolt Technology
Tallinn2mo ago
- Seniority
- Senior
About the role
<p><gh-intro><br><text><br><br>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</p>
<p></text><br></gh-intro><br><gh-about-us><br><title><strong>About us</strong></title></p>
<p><text></p>
<p>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.</p>
<p>We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.</p>
<p>Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!</p>
<p></text></p>
<p></gh-about-us><br><br></p>
<p><gh-role-detail></p>
<p><title><strong>About the role</strong></title></p>
<p><text></p>
<p>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. </p>
<p>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.</p>
<p>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. <br></text><br></gh-role-detail></p>
<p><gh-responsibilities></p>
<p><title><strong>Main tasks and responsibilities:</strong></title></p>
<p><bulletpoints></p>
<ul>
<li><point>Designing, building, and optimising components of Bolt’s ML Platform.</point></li>
<li><point>Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.</point></li>
<li><point>Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.</point></li>
<li><point>Proactively solve technical challenges, discover and build new features, enabling develop efficiency.</point></li>
<li><point>Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.</point></li>
<li><point>Raise our product and technical quality bar, promoting software engineering best practices.</point></li>
</ul>
<p></bulletpoints><br></gh-responsibilities></p>
<p><gh-requirements></p>
<p><title><strong>About you:</strong></title></p>
<p><bulletpoints></p>
<ul>
<li><point>5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.</point></li>
<li><point>Experience in leading and delivering complex cross-team projects.</point></li>
<li><point>Production experience with Python, Spark, and Kubernetes.</point></li>
<li><point>Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.</point></li>
<li><point>You strive for technical excellence while staying pragmatic to achieve outcomes for the users.</point></li>
</ul>
<p></bulletpoints><br><text></p>
<p>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!<br></text><br></gh-requirements></p>
<p><gh-perks></p>
<p><title><strong>Why you’ll love it here:</strong></title></p>
<p><bulletpoints></p>
<ul>
<li><point>Accelerate your professional growth with unique career opportunities.</point></li>
<li><point>Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.</point></li>
<li><point>Take care of your physical and mental health with our wellness perks.</point></li>
<li><point>Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.</point></li>
<li><point>Connect with colleagues at annual company events and smaller team gatherings.</point></li>
<li><point>Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.</point></li>
</ul>
<p></bulletpoints><br><text>*<em>Some perks may differ depending on your location and role.</em></text><br></gh-perks></p>
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<p><br><br></p><div class="content-conclusion"><p>#LI-Hybrid</p></div>
Perks & benefits
- Equity Compensation
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