Position: Machine Learning Engineer
Company: CustomerTimes.Corp
Category: Data Science
Experience required: 3y
English level: upper

**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