Senior Machine Learning Ops Engineer
airSlate
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See open jobs at airSlate.See open jobs similar to "Senior Machine Learning Ops Engineer" General Catalyst.Software Engineering, Operations
Wrocław, Poland
Posted 6+ months ago
At airSlate, our journey began in Boston, USA, in 2008. What started as a single product with 3,000 customers has grown into an influential tech company with 900+ team members across six offices worldwide. In 2022, airSlate reached a total valuation of $1.25 billion and became a 'Unicorn 🦄'. But even as we scale, team members remain our most valuable asset. That's why we've built a company that excites people about their work.
We develop products that serve over 100 million users with no-code workflow automation, electronic signature, and document management solutions. The company's portfolio of award-winning products, signNow, pdfFiller, DocHub, WorkFlow, Instapage, and US Legal Forms, empower teams to digitally transform the way their organizations run.
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 work environment — We value the advantages of in-person collaboration and prioritize work from our offices in Wroclaw or Bialystok. However, we also provide flexible work arrangements to accommodate remote or hybrid options and flexible scheduling.
— Bonuses and compensation — On top of a competitive base salary, we reward our team members' performance with a quarterly bonus to recognize achievements, time, and effort.
— Stock options — At airSlate, our team members are more than employees; they're business partners. We issue stock options that grant ownership in the company, allowing everyone to share in its growth.
— Professional growth opportunities — We are committed to ongoing improvement and welcome those passionate about learning. We cover professional development courses, conferences, literature, English classes, and more for each team member.
— Health and well-being—We prioritize the health and well-being of our team. This is why we provide a Luxmed subscription, a Multisport card for every team member, access to the office's massage room, free lunches, and healthy in-office snacks to sustain your energy. Also, we provide all our team members with Mental Health Days, dedicated days off recognized globally to encourage people to log off and recharge.
— Open communication — We encourage transparent communication from all team members at airSlate. Feel free to share your thoughts, ideas, and concerns with our management team, CEO, any member of our leadership team, or any team lead at any time.
We are proud of:
— airSlate Care for Ukraine — With a significant number of our team members in Ukraine, our foremost concern was ensuring their safety by providing both financial and logistical assistance to them and their families. What started as an immediate response has evolved into a cornerstone of the airSlate charity program. We match donations contributed by our team members, offer humanitarian aid to those affected by the conflict, distribute food packages to seniors, and support animal shelters. Our commitment remains steadfast in working towards restoring peace to Ukraine.
— airSlate Junior Club — Our sense of family extends beyond our team. All team members with children gain access to the airSlate Junior Club, featuring engaging events such as cooking classes, creative activities, and educational online games.
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 penalised 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.
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This job is no longer accepting applications
See open jobs at airSlate.See open jobs similar to "Senior Machine Learning Ops Engineer" General Catalyst.
