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Senior Machine Learning Engineer

2 hours, 14 minutes ago
Poland
Full-time
Senior
Machine Learning Engineer
Software Development
AWS BERT Deep Learning Feature Engineering GPT LLM Machine Learning Python Reinforcement Learning SageMaker SEO
Apply Now
airSlate

airSlate

airSlate provides document workflow automation solutions with intuitive design, secure eSignatures, and customizable no-code Bots for streamlined business processes.

Professional Services
251-1K
Founded 2006
$182M raised
View All Jobs 11

Description

  • Design, develop, train, and optimize machine learning models and AI solutions for complex business challenges.
  • Collaborate with data engineers on data collection, preprocessing, feature engineering, and model evaluation.
  • Evaluate, validate, and fine-tune models to improve accuracy, scalability, and business impact.
  • Deploy, monitor, and maintain machine learning models in production.
  • Identify opportunities for continuous improvement of deployed models and AI solutions.
  • Work cross-functionally with engineers, data scientists, and business stakeholders to deliver end-to-end solutions.
  • Support airSlate’s AI strategy through machine learning initiatives tied to measurable business outcomes.

Requirements

  • Proven experience in an AI/ML environment with a track record of delivering impactful solutions.
  • Experience with AWS and SageMaker for end-to-end ML development and deployment.
  • Solid understanding of modern AI/LLM models such as BERT, GPT, Qwen, LLaMA, or similar architectures.
  • Hands-on expertise with traditional ML techniques, including supervised, unsupervised, semi-supervised, and reinforcement learning, especially deep learning.
  • Proficiency in Python for model development and implementation.
  • Familiarity with LLM-based applications, including embeddings and advanced AI use cases.
  • Strong communication skills with the ability to explain technical concepts to technical and non-technical stakeholders.
  • Experience working effectively with distributed teams across time zones.
  • Collaborative mindset with a focus on knowledge sharing and continuous growth.
  • Fluent English.

Benefits

  • Flexible working environment with remote and hybrid options across multiple countries.
  • Competitive compensation with local-market salary, performance-based bonus system, and stock options.
  • Professional growth and learning support through courses, conferences, and learning resources.
  • Internal mobility and career growth opportunities within airSlate.
  • Comprehensive health and well-being benefits, including health coverage, wellness programmes, and fitness options.
  • Quarterly company-wide Mental Health Days.
  • Family-friendly culture with flexibility for parents, family days, and pet-friendly policies.
  • Charitable giving support through the airSlate Care programme, including donation matching.

Interested in this position?

Apply directly on the company website

Apply Now

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