Position: MLOps Engineer
Company: SevenPro
Category: DevOps
Experience required: 3y
English level: intermediate
Published: 2021-08-01T00:00:00+03:00

**About project**
Our client is a newly founded AI startup that aims to unlock Natural Language Processing (NLP) for everyone. In today's world, everyone should have access to the insights hidden in the sea of textual information generated every day. To make this possible, we are developing the next generation of NLP APIs, a technology that equipped state-of-the-art AI models with common sense and a human-like understanding of natural language. With us, everyone can harness the benefits of our data-driven world regardless of the technical expertise one might have.

**Your area of responsibility**
-Automating our ML/DL pipeline (e.g., data processing, distributed training, and inference) and infrastructure maintenance by implementing MLOps tools, frameworks, and platforms;
-Optimizing the run-time and cost using various machines and parallel/distributed configurations via cloud services;
-Design the right way to:
-Allow our scientist to conduct independent research projects while maintaining unified research methodology with minimal interference with their daily workflow;
-Deploy ML/DL models at scale across a wide range of use-cases and sectors while managing the production lifecycle from initial deployment to testing and updating.

**Skills and requirements**
-Strong Python skills;
-Cloud Computing;
-Basic understanding of ML fundamentals (batching, training, testing, and etc.);
-Familiarity with ML distributed workflow across multiple GPUs;
-Exposure to ML platforms (e.g., Pytorch, Tensorflow);
-Experience with Pytorch is a big advantage;
-Experience with Kubernetes and Kubeflow is also a big plus;
-Familiarity with GCP;
-Experience in data processing at scale.

**Will be a plus**
-Upper-Intermediate English level.

**We offer**
-Working in a team of talented and passionate engineers;
-Opportunity to work with the most trending technologies;
-Long-term enjoyable cooperation;
-Covid medical insurance;
-English classes;
-Payable vacation and sick days;
-Competitive salary depending on your own talents;
-Regular performance & career development reviews;
-Cozy office and nice family-type atmosphere;
-Team building events.