Machine Learning Engineer
2 days ago
At Securian Financial, we are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models and pipelines to solve complex business problems.
Key Responsibilities:- Design and develop machine learning models and pipelines using Python and popular libraries such as TensorFlow and PyTorch.
- Collaborate with data scientists and software engineers to integrate machine learning models into larger system architectures.
- Evaluate and experiment with emerging AI technologies and frameworks to stay at the forefront of innovation.
- Provide technical guidance and mentorship to junior team members.
- Deploy, test, and optimize machine learning models and data pipelines in production environments.
- Advanced degree in Computer Science, Machine Learning, or related field.
- 5+ years of experience in a similar role in a production environment.
- Experience working with large-scale datasets and building ETL pipelines using Spark and Kubeflow.
- Strong proficiency in Python and experience with NLP techniques and methodologies.
- Experience integrating machine learning models and data-driven algorithms into larger system architectures.
- A comprehensive range of benefits, including paid time off, leave programs, company-funded pension plan, and 401(k) retirement plan.
- Opportunities for professional growth and development, including training and mentorship programs.
- A dynamic and collaborative work environment with a team of experienced professionals.
We are an equal opportunity employer and welcome applications from diverse candidates. If you are a job seeker with a disability and require an accommodation to apply for this job, please contact us by email at [email address] or by telephone at [phone number] or 711 (Relay/TTY).
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