Machine Learning Engineer (offline)

This role would be responsible for
● Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions.
● Creating high performance and scalable Machine Learning systems
● Building reusable production data pipelines for machine learning models
● Collaborating with Data Engineers and Data Scientist to build data and model pipelines and help in running machine learning tests and experiments
● Helping to manage the infrastructure and data pipelines needed to bring an ML solution to production
● Troubleshoots production machine learning model issues, including recommendations for retrain, revalidate and improvements

We are seeking people who are passionate about
● Working with data in all forms (structured, unstructured, video, audio, etc) and using it creatively to help solve problems
● Collaborating with data scientists and data engineers to make a big impact
● Staying in-tune with the big data community and encouraging the organization to utilize cutting edge technologies to innovate and invent solutions.
● Having an impact on 2.5 million customers with innovative data science products

Skills - Experience and Requirements
You would be considered a great fit for this role if you have the following:
● Bachelor’s degree in Computer Science Engineering, Data Science, or a related technical degree.
● Experience in developing and deploying machine learning systems into production
● Proven ability to learn things quickly and stay up to date on breakthroughs in Machine Learning techniques
● Ability to quickly prototype new approaches and productionize solutions at scale for millions of active users
● Ability to work in a Linux environment
● Strong experience with Python, Scala, Golang or Java
● Experience with big data tools and processing technologies such as Apache Spark, Apache Flink and cloud platforms like GCP or AWS
● Experience in building containerized solutions using Kubernetes
● You have worked with automated build systems such as Jenkins. A desire to write tools and applications to automate work
● Experience implementing Continuous Integration or Continuous Delivery processes in engineering teams
These qualifications would make you stand out among other applicants:
● Great communication skills - someone who is passionate about evangelizing the value of advanced data science capabilities.
● Experience deploying and maintaining model Microservices
● Experience building maintainable data pipelines for deep learning models
● Familiarity with data-oriented workflow orchestration frameworks such as Kubeflow, Airflow

About OneReach.ai

We believe the world is better with technology out of the way, and have pushed hard to make big tech accessible by writing little to no code. We also think that you can create meaningful bots and AI experiences that people enjoy using.

We work well together and accomplish a lot, pushing the limits of what bots and AI can do. We’re definitely a ’results-first’ culture. This helps people to enjoy the flexibility and many of the other perks that come with being part of a growing team. Everyone’s experience and perspective matter here.

These are just some of the many reasons that we have continually attracted smart people that are great to work with. We’re looking forward to an opportunity to learn about you and what we could be accomplishing together.

Company website:
http://onereach.ai

DOU company page:
https://jobs.dou.ua/companies/onereach/