Senior Machine Learning Engineer
To see similar active jobs please follow this link: Remote Development jobs
About Qarik
Co-founded by Google Cloud Engineering leaders, Qarik is an IT Solutions company focusing on Google Cloud Platform. We’ve grown to 100 employees in less than three years and continue to attract brand-name (F1000) clients. We are an engineer-driven company where your talent is truly appreciated and maximized. Unlike the traditional model, where consultants can remain long beyond project completion, we enter our engagements with the end in mind. Core to our ethos is the ability to solve complex problems and teach clients to do the same.
About the Role
As an MLOps Engineer specializing in VertexAI, you will be instrumental in developing and managing pipelines for training, hyperparameter tuning, and monitoring model drift. Your expertise will help us optimize our machine learning operations, reduce costs, and enhance performance, ensuring the reliability and scalability of our models.
Responsibilities
● Pipeline Development: Design, implement, and maintain VertexAI pipelines for model training, hyperparameter tuning, and model drift detection.
● Automation: Develop and optimize CI/CD pipelines for seamless integration and deployment of machine learning models.
● Monitoring and Maintenance: Establish monitoring and alerting systems to track model performance, health, and data drift, ensuring timely identification and resolution of issues.
● Documentation: Maintain comprehensive documentation of pipelines, processes, and best practices to ensure reproducibility and knowledge sharing.
● Continuous Improvement: Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes.
Minimum Qualifications
● Experience: Proven experience as an MLOps Engineer or similar role, with a focus on building and optimizing machine learning pipelines and infrastructure.
● Technical Skills: Strong proficiency in VertexAI, cloud platforms (GCP preferred), containerization technologies (Docker, Kubernetes), and orchestration tools (Kubeflow, Airflow).
● Programming: Proficiency in programming languages such as Python, with experience in ML frameworks like TensorFlow or PyTorch.
● CI/CD: Extensive experience with CI/CD tools and practices, including version control systems (Git) and automation tools.
● Problem-Solving: Excellent problem-solving skills and the ability to troubleshoot complex issues in a fast-paced environment.
● Collaboration: Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
● Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Desired Locations
Open to any location in the US as long as you are willing to overlap the US East Coast morning.
Why Qarik?
● Qarik offers a competitive employee compensation and outstanding benefits package.
● The job is fully remote with work hours and vacation flexibility for work/life balance.
● You will work on a team where people respect each other, have a shared goal of customer success, and work together instead of competing against each other or counting the lines of code or number of PRs to meet personal annual OKRs. Most of your teammates think this is the best team they have ever worked on so far in their careers.
● We are using the latest AI tech and pushing the boundaries possible, constantly learning new stuff and creating new cool things together.
Qarik is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, or protected veteran status. For further information, please contact our careers@qarik.com.
About the job
Senior Machine Learning Engineer
To see similar active jobs please follow this link: Remote Development jobs
About Qarik
Co-founded by Google Cloud Engineering leaders, Qarik is an IT Solutions company focusing on Google Cloud Platform. We’ve grown to 100 employees in less than three years and continue to attract brand-name (F1000) clients. We are an engineer-driven company where your talent is truly appreciated and maximized. Unlike the traditional model, where consultants can remain long beyond project completion, we enter our engagements with the end in mind. Core to our ethos is the ability to solve complex problems and teach clients to do the same.
About the Role
As an MLOps Engineer specializing in VertexAI, you will be instrumental in developing and managing pipelines for training, hyperparameter tuning, and monitoring model drift. Your expertise will help us optimize our machine learning operations, reduce costs, and enhance performance, ensuring the reliability and scalability of our models.
Responsibilities
● Pipeline Development: Design, implement, and maintain VertexAI pipelines for model training, hyperparameter tuning, and model drift detection.
● Automation: Develop and optimize CI/CD pipelines for seamless integration and deployment of machine learning models.
● Monitoring and Maintenance: Establish monitoring and alerting systems to track model performance, health, and data drift, ensuring timely identification and resolution of issues.
● Documentation: Maintain comprehensive documentation of pipelines, processes, and best practices to ensure reproducibility and knowledge sharing.
● Continuous Improvement: Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes.
Minimum Qualifications
● Experience: Proven experience as an MLOps Engineer or similar role, with a focus on building and optimizing machine learning pipelines and infrastructure.
● Technical Skills: Strong proficiency in VertexAI, cloud platforms (GCP preferred), containerization technologies (Docker, Kubernetes), and orchestration tools (Kubeflow, Airflow).
● Programming: Proficiency in programming languages such as Python, with experience in ML frameworks like TensorFlow or PyTorch.
● CI/CD: Extensive experience with CI/CD tools and practices, including version control systems (Git) and automation tools.
● Problem-Solving: Excellent problem-solving skills and the ability to troubleshoot complex issues in a fast-paced environment.
● Collaboration: Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
● Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Desired Locations
Open to any location in the US as long as you are willing to overlap the US East Coast morning.
Why Qarik?
● Qarik offers a competitive employee compensation and outstanding benefits package.
● The job is fully remote with work hours and vacation flexibility for work/life balance.
● You will work on a team where people respect each other, have a shared goal of customer success, and work together instead of competing against each other or counting the lines of code or number of PRs to meet personal annual OKRs. Most of your teammates think this is the best team they have ever worked on so far in their careers.
● We are using the latest AI tech and pushing the boundaries possible, constantly learning new stuff and creating new cool things together.
Qarik is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, or protected veteran status. For further information, please contact our careers@qarik.com.