Remote Senior MLOps Engineer

Description:

• Jobber is seeking a Senior Machine Learning Operations Engineer to build an ML platform from the ground up to improve operational outcomes and workflow efficiencies.
• The role involves collaborating with Data Scientists and ML engineers to define project scope, requirements, and success criteria.
• Responsibilities include designing and implementing data pipelines for structured and unstructured data, overseeing the MLOps lifecycle, and conducting feasibility analyses.
• The engineer will develop a deep understanding of Large Language Models (LLMs) and optimize end-to-end MLOps pipelines for model training and deployment.
• The position requires establishing best practices for version control, testing, and monitoring of ML models, as well as architecting scalable data processing systems.
• Continuous assessment and improvement of the MLOps infrastructure to enhance performance and cost-effectiveness is also expected.

Requirements:

• Candidates should have a background in software or data engineering.
• Strong communication skills and a proven record of leading cross-disciplinary work are essential.
• Proficiency in Python programming and extensive experience with Apache Spark for large-scale data processing is required.
• Expertise in containerization, particularly with Docker and CI/CD technologies, is necessary.
• Experience in designing and implementing RESTful APIs and comprehensive knowledge of AWS services is needed.
• A proven track record of building and maintaining complex ETL pipelines and experience with workflow management tools like Apache Airflow is required.
• Proficiency in using dbt for data transformation and modeling, along with a strong understanding of DevOps principles and CI/CD practices, is essential.
• Excellent problem-solving skills and attention to detail are necessary, as well as the ability to work effectively in a fast-paced, collaborative environment.

Benefits:

• Jobber offers a total compensation package that includes an extended health benefits package with fully paid premiums, retirement savings plan matching, and stock options.
• The company provides a dedicated Talent Development function, including Development Coaches, to help employees build their careers and reach their potential.
• Support for various breaks is available, including vacation, health days, birthday off, and parental leave top-ups.
• Employees have a unique opportunity to impact a $400-billion industry that currently lacks a dominant player.
• Jobber fosters a supportive and humble work environment, emphasizing the importance of customer care and inclusivity.