Machine Learning Engineering Consultant (Hybrid)

Requirements

• Bachelor's degree or higher in Computer Science, Machine Learning, or a related field, or equivalent industry experience. Candidates with an advanced degree, such as a Master's or Ph.D., or a bachelor's degree with relevant professional experience are encouraged to apply.
• 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.
• #LI-Hybrid **This position will have a hybrid working arrangement, working in-office for a minimum of 3 days a week.**
• Preferred Skills:
• The estimated base pay range for this job is:
• $130,000.00 - $210,000.00
• Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
• Paid time off:
• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
• Holidays: Securian provides nine company paid holiday

Benefits

Additional Information

*Securian Financial Groups internal position title is Machine Learning Engineering Consultant. Position Summary: Are you ready to make a real impact at the forefront of artificial intelligence? Join Securian's dynamic and rapidly expanding AI Center of Excellence as a Machine Learning Engineer Consultant! In this exciting role, you'll collaborate with talented experts to build innovative solutions that address our company's evolving business challenges. Responsibilities include but not limited to: Lead the design and development of ML pipelines for advanced AI algorithms and ML models to solve complex problems across diverse business domains. Collaborate on development of ML architecture and implement robust, efficient, and scalable AI systems that integrate seamlessly with existing infrastructure and platforms. 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. Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.

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