We are seeking a highly skilled and motivated MLOps Engineer to join our growing data science team. In this role, you will be responsible for building, deploying, and maintaining machine learning models in production using Google Cloud Platform (GCP). You will work closely with data scientists and engineers to ensure the reliability, scalability, and performance of our ML systems. The ideal candidate has a strong background in software engineering, data engineering, and machine learning, with hands-on experience using GCP services such as BigQuery, Airflow, and Dataproc. You will be instrumental in automating our ML pipelines, monitoring model performance, and troubleshooting issues. This is an exciting opportunity to contribute to cutting-edge ML projects and make a significant impact on our business.
Key Responsibilities
Design, develop, and maintain scalable and reliable MLOps pipelines on GCP.
Automate the deployment and monitoring of machine learning models in production.
Collaborate with data scientists to productionize their models and experiments.
Implement CI/CD pipelines for machine learning models.
Monitor model performance and identify areas for improvement.
Troubleshoot and resolve issues related to ML infrastructure and deployments.
Optimize ML pipelines for performance and cost efficiency.
Develop and maintain documentation for MLOps processes and infrastructure.
Stay up-to-date with the latest MLOps tools and techniques.
Ensure compliance with security and data privacy regulations.
Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3+ years of experience in MLOps or a related role.
Strong proficiency in Python and PySpark.
Extensive experience with Google Cloud Platform (GCP) services, including BigQuery, Airflow, and Dataproc.
Experience with containerization technologies such as Docker and Kubernetes.
Experience with CI/CD pipelines and automation tools.
Solid understanding of machine learning concepts and algorithms.
Experience with model monitoring and alerting tools.
Excellent problem-solving and communication skills.
Ability to work independently and as part of a team.
Experience with infrastructure-as-code tools such as Terraform or CloudFormation is a plus.
Additional Information
We offer a competitive salary and benefits package, including health insurance, paid time off, and professional development opportunities. We are committed to creating a diverse and inclusive work environment where everyone feels valued and respected. We encourage applications from all qualified candidates, regardless of race, ethnicity, religion, gender, sexual orientation, age, or disability. This role offers the opportunity to work on challenging and impactful projects, collaborate with a talented team, and grow your career in the exciting field of MLOps. You will be at the forefront of innovation, helping us to leverage the power of machine learning to solve complex business problems and drive growth. We are looking for a passionate and driven individual who is eager to learn and contribute to our success.
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