ML Ops Engineer Offline

Hey!

We are Kultprosvet - the team of web and mobile software developers that cares.

We’re looking for an experienced ML Ops developer interested in contributing to growing and scaling a successful startup - where you will

have a tangible impact on the business and technology.

Requirements

● 3+ years of industry experience in building production-grade machine-learning systems with all aspects of model training, tuning, deploying, serving, and monitoring;

● Industry experience in software engineering roles and development experience in Python, SQL, Go, and/or other programming languages;

● 3+ years experience in technologies such as Tensorflow, MLFlow, Kubeflow, Spark (Pyspark), Prefect/AirFlow;

● Strong critical thinking, communication, and problem-solving skills;

● Experience training and deploying machine learning models;

● Experience working with data science teams with conceptual knowledge of data science project lifecycles and techniques;

● Experience using relational databases, including PostgreSQL;

● Experience with Cloud and Containers. You have proficiency in using public cloud services from operators such as AWS with container orchestrators;

● Experience building automated big data pipelines;

● Experience performing data analysis and data exploration;

● Experience working in an agile delivery environment;

● Excellent oral and written English communication skills.

Will be a plus:

● Experience in DevOps, MLOps, and SRE is a plus;

Responsibilities

● Design, implement, and maintain the MLOps stack;

● Seek and recommend improvements to current processes;

● Participate in code reviews for projects written by your team;

● Identify, document, automate, and engineer processes for repeated tasks;

● Prove the use of new technology with compelling proof of concepts and demonstration;

● Run machine learning tests and experiments;

● Contribute to our technology investments roadmap and help prioritize tech debt and architecture investments.

What we offer:

● Challenging tasks and projects for professional growth;

● Friendly team workspace and healthy environment;

● Competitive salary;

● Paid vacation and sick leaves;

● Medical insurance;

● Stability.

Location:

Dnipro (office or remote)

Have questions? Feel free to contact us about details.