Staff Machine Learning Engineer

February 26

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PhantomBuster

PhantomBuster opens a new era of lead generation.

51 - 200 employees

πŸ’° Seed Round on 2019-04

πŸ“‹ Description

β€’ As the first Machine Learning Engineer, you will join our Data Team to drive the adoption and development of machine learning and AI capabilities within our product. β€’ The Data Team currently consists of three Analytics Engineers, a Data Analyst, and a Head of Data. β€’ Define and evolve our infrastructure to allow for better ML capabilities. β€’ Identify, source, and refine datasets to allow tuning models and create ML opportunities. β€’ Pre-process data by using techniques such as data cleaning, feature engineering, and transformation. β€’ Train, evaluate, and deploy machine learning models up to production. β€’ Monitor, debug, and continuously improve deployed models. β€’ Support machine learning usage throughout the company. β€’ Support the integration and use of LLMs, including approaches such as fine-tuning, RAG, etc., to improve accuracy.

🎯 Requirements

β€’ 5+ years of experience as a Data Scientist or Machine Learning Engineer. β€’ Proficiency in Python, including experience with libraries such as Scikit-Learn, NumPy, Pandas, and PyTorch/TensorFlow. β€’ Proficiency in SQL and experience working with data warehouses (e.g., Snowflake, GCP). β€’ Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques. β€’ Experience with cloud platforms for model training and deployment. β€’ Knowledge of MLOps best practices, including CI/CD pipelines, model monitoring, and versioning (e.g., MLflow, Airflow). β€’ Successful deployment of models to production. β€’ Fluency in English.

πŸ–οΈ Benefits

β€’ 🌎 International team β€’ 🏑 Fully remote company β€’ πŸŽ‰ Fun team building events β€’ 🌴 Possibility to work 4 days a week (paid 5) β€’ πŸ–₯️ €40/month for your Internet connection β€’ πŸ‘©β€πŸ’» Home office budget up to €1500 β€’ πŸ‘©πŸ»β€βš•οΈ 100% of an Alan Blue subscription β€’ 🍜 Lunch vouchers (β€œTickets Resto”) with Swile - €8 (50% The Phantom Company) / worked day β€’ 🧠 Partnership with MokaCare β€’ πŸ… Leeto benefits of €70 a month for sports membership, Netflix, Spotify or other cultural expenses β€’ πŸ“š Book Allowance and Sharing Program

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