Dabster

Machine Learning Engineer

Dabster

Sweden

Accepting Applications Full-time On-site LinkedIn
Posted 1 day, 14 hours ago 1 views 0 applications
Job Description

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"

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