Senior Machine Learning Engineer

About AirSlate

airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.

We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Romania, Ukraine and Philippines .

At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.

And now 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.

You’ll collaborate closely with data scientists, data engineers, and business stakeholders to design, build, deploy, and improve machine learning models that drive measurable business outcomes.

What You’ll Do

• 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.
  
  

What We’re Looking For

• 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.