$ cat jobs/machine-learning-engineer-dabster-ca6f1d4fc8b5.json
Machine Learning Engineer
Listed as a remote role based in Helsingborg, Skåne County, Sweden.
About Us: At Dabster, we specialize in connecting top talent with leading global companies. Our mission is to be the foremost recruitment specialist in securing exceptional talent for a diverse range of global clients. Job Description: Responsibilities: Develop and deploy end-to-end microservices-based solutions for batch and real-time algorithms, including monitoring, logging, automated testing, and performance testing. Design, implement, and optimize MLOps pipelines using tools such as Kubeflow, Seldon, MLFlow, Docker, and Kubernetes. Collaborate with Data Scientists to enhance the ML model development process and ensure performance improvements. Ensure scalability, maintainability, and robustness of deployed machine learning models. Monitor and troubleshoot ML model performance and infrastructure issues in production (experience with Prometheus and Grafana is valuable). Support and enhance ML software infrastructure, including CI/CD, data storage, cloud services, security, and system monitoring. Work with cloud platforms, particularly GCP and Azure, to optimize resource allocation and costs. Stay up to date with the latest trends and best practices in MLOps. Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience as a Machine Learning Engineer or in a similar role. Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn. Strong understanding of MLOps best practices and tools, including Kubeflow, Seldon, MLFlow, Docker, and Kubernetes. Experience working with cloud platforms, especially GCP. Knowledge of data processing, ETL, and feature engineering techniques. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Excellent communication and interpersonal skills. Preferred Qualifications: Experience deploying ML models at scale using serverless or cloud-based solutions. Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly). Knowledge of software development best practices (Git, CI/CD, automated testing). How to Apply Apply by submitting your resume today, showcasing your relevant experience and passion for the position via LinkedIn Easy Apply or directly to vigneshwaran.s@dabster.net or minnuja.p@dabster.net "We do not provide any sponsorship to the job aspirants" Show more Show less Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries IT Services and IT Consulting
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