ML Engineer/Data Scientist

2 tygodni temu

Gdańsk, Pomerania, Polska Craft Pełny etat

About Craft:

Craft is on a mission to illuminate the path to global supply chain resilience. We empower businesses to strengthen their supplier networks and supply chains with the industry's most trusted and comprehensive data fabric and advanced risk mitigation engine. Our easy-to-use platform provides 360-degree visibility to quickly explore and evaluate supplier networks, AI-driven insights to detect and mitigate disruptions, and collaborative tools to optimize supply chain strategies. With Craft, procurement and supply chain professionals from commercial and governmental organizations can confidently navigate regulatory environments, uphold ethics, and drive business continuity.

We are a well-funded technology company with leading investors including Greycroft, Uncork, High Alpha, ServiceNow Ventures, Sam Palmisano, Freddy Kerrest, but are not your typical data or SaaS startup. Our CEO is a seasoned entrepreneur and Juilliard-trained cellist. The Craft team is globally distributed with headquarters in San Francisco and an office in London. We have team members across North America and Europe. We are looking for curious, intelligent, collaborative people from diverse backgrounds who are passionate about building delightful software and creating a world connected by resilient, sustainable, intelligent supply chains to join our rapidly growing team

A Note to Candidates:

We are an equal opportunity employer who values and encourages diversity, equity and belonging at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, caste, or disability status.

About The Role

Craft is looking for an experienced and motivated Machine Learning Engineer to join a team responsible for a key product within the organization. As a core member of this team you will have a great say in how solutions are engineered and delivered. Craft gives engineers a lot of responsibility, which is matched by our investment in their growth and development. We are growing quickly, and the only limits to your future growth with Craft are your dedication and abilities.

What You'll Be Doing
  • 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.
What We're Looking For
  • 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
What We Offer
  • 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.)

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