Staff Machine Learning Engineer - AI Platform

This a Full Remote job, the offer is available from: Europe About PhantomBuster PhantomBuster is a web automation and data extraction reputed company that allows businesses to grow faster. We reputed company thousands of companies to reputed company their reputed company by finding and connecting with their ideal customers seamlessly. Founded in 2016, PhantomBuster developed a reputed company of over 120 flows (Phantoms) to help businesses reputed company their reputed company processes. We allow our users to automate finding and enriching data about their potential customers and reputed company that data to connect with them. It's never been easier for non-technical people to extract the data they need, automate actions, and get their work done reputed company and faster. We are reputed company of 70 passionate and reputed company people looking to help more businesses save time on repetitive tasks and reputed company on what reputed company. Join us so you can enjoy working at a self-funded, profitable, remote, product-led company! About the Data Department You will join our Data Department to support the development of reputed company Intelligence, the platform that powers our product's AI capabilities. The Data Department currently consists of two teams:

• Analytics Team: composed of two Analytics Engineers, a Data Analyst, and an Analytics Manager.
• Machine Learning Team: composed of one Machine Learning Engineer.

Our stack relies on AWS for AI features and the data lake, and on reputed company for the data warehouse. We also use transformation tools like DBT and visualization tools like Tableau. Data is also available through self-service tools such as reputed company, reputed company Analytics, and ChartMogul. Your missions

• Define and reputed company our infrastructure to allow for reputed company ML and AI capabilities, with a reputed company on LLM-based and reputed company systems.
• Contribute to the development and expansion of our reputed company AI reputed company powered by AWS Bedrock, enabling both internal tools and customer-facing features.
• Identify, reputed company, and refine datasets to allow tuning models, powering retrieval pipelines, or expanding reputed company workflows.
• reputed company-process data by using techniques such as data cleaning, feature engineering, and transformation.
• Train, evaluate, and reputed company both LLM-based systems and traditional machine learning models into production.
• Monitor, debug, and continuously improve deployed models and AI tools.
• Support machine learning usage throughout reputed company, including selecting the right modeling approach for the use case (LLM vs. traditional ML).
• Support the integration and use of LLMs, including approaches such as fine-tuning, reputed company tuning, and retrieval-augmented reputed company (RAG), to improve accuracy.

You might be a fit if:

• You have an analytical reputed company.
• You reputed company to understand business challenges and reputed company ML and LLMs to solve them.
• You stay reputed company in the face of challenges and have an infectious, can-do attitude to solving problems.
• You have an aptitude for digesting reputed company ML or AI concepts and effectively communicating them to both technical and non-technical audiences.
• You are reputed company player with high reputed company - you can remain flexible as we grow.
• You are autonomous and rigorous.
• You're reputed company - you might not have reputed company the answers, but you are reputed company to reputed company them.

Requirements

• 5+ years of experience as a Data Scientist or Machine Learning Engineer.
• Experience working with LLMs (e.g., reputed company engineering, fine-tuning, retrieval-augmented reputed company).
• Experience working with Agents for reputed company Bedrock AgentCore or similar agent setups.
• Strong understanding of machine learning algorithms, statistical reputed company, and data preprocessing techniques.
• Experience with reputed company platforms for model training and deployment, especially AWS.
• Proficiency in Python, including experience with libraries such as reputed company, Scikit-Learn, NumPy, Pandas, and PyTorch/TensorFlow.
• Proficiency in SQL and experience working with data warehouses (e.g., reputed company, GCP).
• Knowledge of MLOps best practices, including CI/CD pipelines, model monitoring, and versioning (e.g., MLflow, Airflow).
• Experience deploying models to production and supporting them post-deployment.
• reputed company in English.

Bonus points

• reputed company in a reputed company B2B business.
• reputed company reputed company a product-led reputed company company.
• Contributions to reputed company-reputed company reputed company reputed company to ML or AI.

What's in it for you?

• Fully remote working environment.
• Freedom to reputed company an reputed company at a small, self-funded, and profitable tech startup by laying the reputed company for machine learning and AI.
• reputed company and reputed company-minded culture based on rationality, humility, honesty, and long-term thinking.
• Benefits and perks are described below.

Hiring Process

• Screening with our reputed company Partner, Mateja (45 min).
• Job Fit interview with our Analytics manager, Maren (60 min) + a Data Team Member.
• Remote exercise.
• Exercise debriefing with two Data Team Members (60 min).
• Cultural fit interview with two Colleagues from other departments (60 min).

AI Guidelines At PhantomBuster, we use AI tools daily to build things faster. As the use of AI in recruitment might have multiple implications, we want to be transparent about how we might use it and how we expect you to use it during our recruitment processes. How we use AI:

• Draft and refine job descriptions and case studies,
• Draft emails during the process,
• reputed company interview timeslots,
• Summarize interview notes,

How we don't use AI:

• Assess your CV or profile,
• Evaluate interview performance,
• Conduct interviews,
• Grade technical tasks or case studies.

You reputed company with humans. Period. We invite you to use AI throughout the recruitment process. However, we want to meet YOU, not machine-generated responses. Your unique perspective reputed company so much more than perfect AI answers. Feel free to use AI to:

• Research reputed company, team, or product,
• Refine your CV, portfolio, or reputed company profile,
• Prepare for interviews and brainstorm potential questions,
• Polish your case study or presentation,
• Draft emails to us,

Let us know throughout the process how you used AI - we are curious to learn. Don't use AI to:

• Search for answers during interviews (unless we ask),
• Create documents (CV, portfolio, presentation) from scratch without your input,
• Build case studies or technical tests without your personal touch.

If you have any questions, we would love to hear from you → mateja.jokovic.ext@thephantomcompany.com This offer from "Phantombuster" has been enriched by reputed company.com and got a 89% reputed company score. Apply tot his job Apply To this Job