ML Engineer/Data Scientist

March 18

Craft.co

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Creating a more resilient global supply chain.

Technology • company search • data analytics • recruiting • competitive intelligence

51 - 200

Description

• Researching, implementing and refining solutions to problems such as Entity Linking and Event Clustering (and many more!) to derive valuable insights from data • Keeping track of emerging technologies & trends in the Machine Learning world, incorporating latest research and tools at Craft. • Determining the right tool for a job - whether that’s utilising a LLM, developing a new model, using a simple heuristic or a combination of the above. • Integrating ML solutions with our data pipelines (Batch & Streaming) • Implementing and championing an MLOps solution to be used within the company. • Designing software that is easily testable and maintainable. • Working with Full-Stack, Data, and DevOps Engineers to ensure smooth delivery of new features • Collaborating with product and engineering teams to identify the needs for ML solutions and implement them.

Requirements

• Production experience with creating and maintaining Machine Learning models. We expect you to be familiar with the entirety of ML Lifecycle and able to implement it by yourself. • Robust experience using NLP solutions for unstructured data processing, along with a good sense of possibilities and limitations • 3+ years of experience in Python, including PyTorch or other major data science libraries. • Experience with MLOps • Experience with Data/Software Engineering - familiarity with clean code, unit testing and design patterns • Experience with cloud services - preferably AWS and Databricks • Self-starter who likes to take initiative • Experience with at least a part of our technology stack: AWS Services: S3, Batch, Athena, Lambda, Kinesis, Kafka, RDS/Aurora Postgres, DynamoDB, Neptune, OpenSearch, Glue, Athena, Sagemaker Python, Pandas, Pytorch, Pandas, spaCy, transformers, Airflow

Benefits

• Competitive Salary at a well-funded, fast-growing startup • 28 Days of Annual Leave so you can take the time you need to refresh! • Premium Benefits including Medical + Dental + Vision Insurance • Uncapped Sick Leave so you can focus on your health when you need it • 100% Remote work (or hybrid if you prefer we have coworking place in center of Warsaw) • zł 400 Monthly Wellness/Learning stipend (Gym memberships, meals, snacks, books, classes, conferences, etc.)