Job description

Role: ML ops Engineer

Location: Remote

PST Candidates only

Job Duties and Responsibilities

• 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
• Troubleshooting 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, images, 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.
• 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.
• In-depth knowledge of machine learning data structures and modelling, software architecture, libraries and frameworks
• Software development experience using Java and related ML libraries including strong understanding of software engineering principles.
• Effective oral and written communication skills to collaborate with others.
• Sound problem-solving skills to refine prototypes and troubleshoot performance issues.

These qualifications would make you stand out among other applicants:

• Experience deploying and managing containerized applications, preferably using AWS Kubernetes Services
• Experience with big data tools and processing technologies such as Apache Spark, Apache Flink, and cloud platforms like AWS
• Familiarity with data-oriented workflow orchestration frameworks such as Kubeflow, Airflow

Job Type: Contract

Salary: $40.19 - $65.73 per hour

Schedule:

• 8 hour shift

Experience:

• Machine learning (Preferred)
• Data science (Preferred)
• Cloud computing (Preferred)

Work Location: Remote

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