Machine Learning Engineer
4 days ago
At Securian Financial, we're seeking a highly skilled Machine Learning Engineer to lead the design, development, and deployment of advanced AI algorithms and ML models. As a key member of our team, you'll be responsible for driving innovation and delivering cutting-edge solutions that solve complex business problems.
Key Responsibilities- Design and develop ML pipelines for advanced AI algorithms and ML 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 ML models and data pipelines in production environments.
- Perform model tuning, prompt tuning, and other ML optimization processes alongside other technical experts to maximize the mission impact of the AI product.
- 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.
- Paid time off: We want you to take time off for what matters most to you. During your first year of hire, you receive a prorated bank of personal days and vacation time depending on your month of hire.
- Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
- Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent.
- Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
- Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
- Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including Mental Wellness and Disability, Pride at Securian Financial, Securian Young Professionals Network, Securian Multicultural Network, Securian Women and Allies Network, Servicemember Associate Resource Group.
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