Machine Learning Engineering Consultant; Hybrid

Position: Machine Learning Engineering Consultant (Hybrid)
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.

Qualifications:

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, Stream Sets, 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, Tensor Flow, PyTorch, Hugging Face, Comprehend, XGBoost, Lang Chain, etc.

Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, Elastic Search, Postgre

SQL, 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.
** Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you’re in a commutable distance (90 minutes) you’ll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

Preferred

Skills:

The estimated base pay range for this job is:$ - $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  you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job – it means providing a rewarding and fulfilling career.

As a valued member of our high-performing team, we want you to connect with your…