Machine Learning Engineer

5 days ago

Shakopee, Minnesota, United States Securian Financial Group Full time
Job Summary:

We are seeking a highly skilled Machine Learning Engineer to join our team at Securian Financial Group. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models and pipelines to solve complex business problems across diverse domains.

Key Responsibilities:

* Lead the design and development of machine learning pipelines for advanced AI algorithms and models to solve complex problems across diverse business domains.
* Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
* Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation.
* Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
* Collaborate with stakeholders to understand requirements, gather feedback, and iterate on AI solutions to ensure alignment with business objectives.
* Deploy, test, and optimize machine learning models and data pipelines in production environments.
* Perform model tuning, prompt tuning, and other machine learning optimization processes alongside other technical experts to maximize the mission impact of the AI product.

Requirements:

* Advanced degree (Master's or Ph.D.) or equivalent industry experience in Computer Science, Machine Learning, or related fields.
* 5+ years of experience in a similar role in a production environment.
* Experience working with large-scale datasets and building ETL pipelines using Spark, Kubeflow, StreamSets, etc.
* Hands-on experience with cloud computing platforms such as AWS.
* Strong proficiency in Python and experience with NLP techniques, resources, and methodologies such as Scikit-learn, TensorFlow, PyTorch, HuggingFace, Comprehend, XGBoost, LangChain, etc.
* Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, IBM MQ, Apache Kafka, etc.
* Experience with iterative development processes, thriving in dynamic and agile environments.
* Ability to own ML delivery tasks end-to-end with little to no direct support. Hands-on experience in deploying machine learning models into production environments.
* Strong understanding of software design patterns, principles, architecture, and operations.
* Strong communication skills and the ability to collaborate effectively with business partners, vendors, end users, and cross-functional teams.

Benefits:

We offer a comprehensive range of benefits designed to enhance your professional growth, well-being, and work-life balance, including paid time off, leave programs, company-funded pension plan, 401(k) retirement plan, health insurance, volunteer time, and associate resource groups.

Hybrid Work Arrangement:

This position will be in a hybrid working arrangement, allowing you to work both virtually and in our offices. If you're in a commutable distance, you'll join us 2-3 days each week in our offices to collaborate and build relationships.

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