Senior Machine Learning Ops Engineer
Wroclaw / Poland / Romania
Cloud and Security Engineering – Data Engineering /
Full-time /
Remote
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, airSlate WorkFlow, 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.
At airSlate, we prioritise high-impact AI and machine learning (ML) initiatives throughout our company. We aim to drive innovation and improve customer-facing workplace automation.
As part of our long-term strategy, we strive to lower the barrier to ML development and standardize the integration of ML solutions. We recognize the urgent need to accelerate the delivery of ML solutions in our rapidly changing world.
Successfully implementing AI and machine learning requires more than excellent models. It necessitates a strong infrastructure. That’s why we are looking for a Senior ML Ops Engineer to help us build the systems that will enable us to automate processes more intelligently, enhance communication, and unlock new product capabilities.
We invite you to join us and be at the forefront of AI innovation!
What you'll be working on:
- Building the Foundation: Design, make, and automate the data backbone for our ML initiatives, creating robust pipelines for both model training and real-time inference using diverse structured and unstructured data.
- Productionizing Machine Learning: Take models from concept to reality by developing production-ready code, architecting serving infrastructure, and implementing sophisticated deployment strategies.
- ML as a service: Develop machine learning solutions to enhance reuse, eliminate unnecessary duplication of solutions within the company, and accelerate the delivery of machine learning applications.
- Automating the ML Lifecycle: Architect and implement our MLOps framework, including CI/CD/CT (Continuous Integration, Delivery, and Training) pipelines to automate the testing, deployment, and retraining of our models.
- Ensuring Reliability & Performance: Establish a comprehensive monitoring practice for our deployed models, tracking performance, health, and key metrics in real-time to ensure accuracy and uptime.
- Driving Reproducibility: Implement and manage the tools and processes for model versioning, artifact management, and experiment tracking to ensure all our ML work is reproducible and traceable.
- Managing Cloud Infrastructure: Own and optimize the AWS cloud resources that power our ML workloads, ensuring they are scalable, secure, and cost-effective.
- Collaborating for Impact: Partner closely with Data Scientists, Data Analytics, Product team, business leaders, and other engineers to translate complex business needs into scalable, end-to-end machine learning solutions.
What we expect from you:
- Fluent in Python.
- A minimum of 3 years of experience in an MLOps engineering role.
- Experience with AWS, particularly with AWS SageMaker.
- Knowledge of machine learning techniques and model lifecycle management.
- Experience with software engineering principles, including unit testing and version control (e.g., Git).
- Experience in monitoring machine learning models in production, with a focus on logging, metrics, and alerting.
- Knowledge and experience with Vector Stores.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data libraries (e.g., Pandas, NumPy, Apache Spark).
- Understanding and experience in using CI/CD/CT tools (e.g., GitHub Actions, Jenkins) and containerization technologies (e.g., Docker).
Nice to have:
- Experience withTerraform.
What we offer
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. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.
Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth.
Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.
Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.
Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.
Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.
Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.
It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.
