Senior Machine Learning Engineer | Data Solutions

at  Wellhub

GET TO KNOW US

Gympass is a corporate wellness platform that connects you to thousands of fitness & wellness partners, all with one simple monthly membership. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 offices around the world. At Gympass, you not only have the opportunity to build a career in a fast-paced global environment - but you’ll make wellbeing universal, so everyone can be happy and healthy.

WHO YOU ARE

• You have created robust and scalable Data and/or Machine Learning architectures and frameworks;
• Proficient in at least one programming language (e.g. Java, Python, Scala).
• You can collaborate with different teams to understand needs and develop effective Data solutions;
• You are motivated to design, implement, and maintain software solutions within the Data realm;
• Demonstrated experience in building and maintaining MLOps tools and pipelines for model development, deployment, and automation;
• Understanding of Machine and Deep Learning principles and frameworks (e.g. TensorFlow, PyTorch, sci-kit learn);
• Understanding of data engineering and architecture principles and technologies (e.g. Apache Spark, Hadoop, Apache Flink);
• You need to be able to articulate ideas clearly when speaking to groups in English.

The following will be considered a plus:

• Hands-on experience with cloud platforms, particularly AWS, including services like SageMaker, EC2, and S3;
• Familiarity with containerization technologies such as Docker/Kubernetes/Crossplane;
• Ability to deploy and manage machine learning models within Kubernetes clusters;
• Experience with DevOps practices, including CI/CD pipelines and infrastructure as code (IaC) and logging tools such as Prometheus, Grafana, or AWS CloudWatch.

We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don’t match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that experience working with Java, or Python, and understanding of Machine and Deep Learning principles and frameworks, and also an advanced level of English are mandatory requirements.

Please refer the Job description for details