Machine Learning Engineer
hace 4 semanas
Machine Learning Engineer (DS Team) in BarcelonaHi there We are Semrush, a global IT company developing our own product, a platform for digital marketers. New stars are born here, so don't miss your chance. This is our Machine Learning Engineer role for those who want to turn ideas into reality using code algorithms and maybe a bit of magic.Tasks in the roleFull project development cycle: From problem statement and research to experiments, model deployment, and monitoring.Development of classification/ranking/regression/clustering models.Working with LLM, embeddings, prompt engineering, model fine-tuning.Supporting the infrastructure for conducting experiments, storing results, retraining models, quality monitoring, and alerting.Working with data providers APIs.Code review.RequirementsWho we are looking for:3+ years of experience as a DS/MLOps/MLE.Strong understanding of the principles of machine learning algorithms, probability theory, statistics, linear algebra.High proficiency in Python and ML stack.Experience with Docker and k8s manifests.Knowledge of SQL.They say there are no perfect candidates, but that might well be you if:You have experience with LLM.Experience with NLP.Experience with DVC.Experience with GitLab CI.Experience with GCP and Vertex AI.Experience in developing ETL processes with Airflow.Experience in deploying ML systems with batch/real-time processing and monitoring (Grafana, Prometheus, Alertmanager).Reproducible research.You share our common values: Trust because we prefer to speak up and be our true selves; Sense of Ownership because it's not worth wasting time on something you don't believe in; and enthusiasm for Constant Changes because we are always looking to make things better.A bit about the teamWe are a data science team responsible for supporting teams working in the SEO domain. We create internal services using machine learning based on which other teams implement new products. Our team includes a Product Owner, a Technical Owner, three Data Scientists, and two MLOps Engineers. The workload is increasing, so we are looking for a Machine Learning Engineer.Our stackGoogle Cloud Platform. Data Storage: ClickHouse, CloudSQL. Language: Python. Tools: Airflow, k8s, Docker, DVC, FastAPI, Catboost, Pandas. LLM APIs: OpenAI, Google, Anthropic.We will try to create all the right conditions for you to work and rest comfortably:It's up to you to decide what work format works best for you. You can #wfo, #wfh, or mix both. Flexible working day start. Unlimited PTO. Hobby benefit. Breakfast, snacks, and coffee at the office. Corporate events. Training courses, conferences. Gifts for employees.Finally, a little more about our company:We've been developing our product for 15 years and have been awarded G2's Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500, and many more.#J-18808-Ljbffr
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Machine Learning Engineer
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