This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We’re looking for a Senior Machine Learning Engineer to join our Machine Learning team and help apply ML and AI solutions to real business problems at scale. In this role, you’ll work on high-impact initiatives that directly support airSlate’s AI strategy — from customer value prediction and optimization to large-scale SEO and marketing intelligence.

• Design, develop, train, and optimize ML models and AI solutions to solve complex business challenges.
• Collaborate with Data Engineers on data collection, preprocessing, and feature engineering for model training and evaluation.
• Evaluate, validate, and fine-tune models to ensure accuracy, scalability, and business impact.
• Deploy, monitor, and maintain ML models in production, identifying opportunities for continuous improvement.
• Work cross-functionally with engineers, data scientists, and business teams to deliver end-to-end ML solutions aligned with business needs.

Qualifications

• 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 foundational understanding of modern AI/LLM models (e.g. BERT, GPT, Qwen, LLaMA or similar architectures).
• Hands-on expertise with traditional ML techniques (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, able to clearly explain technical concepts to both 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 - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working.
• Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options.
• Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources.
• Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes, and access to fitness options.
• Family‑friendly culture - We embrace family life in many forms, including flexibility for parents and company-wide family days.
• Giving back - We support charitable initiatives around the world through the airSlate Care programme.
• Open communication - We encourage transparent dialogue at all levels.