Senior Data Scientist

MLOps Engineer

Location:

Workplace Type:

About the Rol

eWe 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

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Key Responsibiliti

• esDesign, develop, and maintain scalable and reliable MLOps pipelines on GC
• P.Automate the deployment and monitoring of machine learning models in productio
• n.Collaborate with data scientists to productionize their models and experiment
• s.Implement CI/CD pipelines for machine learning model
• s.Monitor model performance and identify areas for improvemen
• t.Troubleshoot and resolve issues related to ML infrastructure and deployment
• s.Optimize ML pipelines for performance and cost efficienc
• y.Develop and maintain documentation for MLOps processes and infrastructur
• e.Stay up-to-date with the latest MLOps tools and technique
• s.Ensure compliance with security and data privacy regulation

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Required Skills & Qualificati

• onsBachelor&aposs or Master&aposs degree in Computer Science, Engineering, or a related fie
• ld.3+ years of experience in MLOps or a related ro
• le.Strong proficiency in Python and PySpa
• rk.Extensive experience with Google Cloud Platform (GCP) services, including BigQuery, Airflow, and Datapr
• oc.Experience with containerization technologies such as Docker and Kubernet
• es.Experience with CI/CD pipelines and automation too
• ls.Solid understanding of machine learning concepts and algorith
• ms.Experience with model monitoring and alerting too
• ls.Excellent problem-solving and communication skil
• ls.Ability to work independently and as part of a te
• am.Experience with infrastructure-as-code tools such as Terraform or CloudFormation is a pl

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Additional Informa

tionWe 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 succ