Machine Learning Engineer

3 weeks ago

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

Securian Financial Group is seeking a highly skilled Machine Learning Engineer to lead the design, development, and deployment of advanced AI algorithms and ML models. The ideal candidate will have a strong background in machine learning, data science, and software engineering, with experience in leading teams and collaborating with cross-functional groups.

Key Responsibilities:
  • Design and develop scalable, efficient, and robust ML pipelines for complex business problems.
  • Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical 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.
  • Deploy, test, and optimize ML models and data pipelines in production environments.
  • Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.

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.
  • 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.

What We Offer:
  • A comprehensive range of benefits designed to enhance your professional growth, well-being, and work-life balance.
  • A hybrid work arrangement that allows flexibility for the reality of business and personal schedules.
  • The opportunity to work with a talented team of professionals who are passionate about innovation and excellence.
  • A competitive salary and bonus structure that rewards performance and contributions.

How to Apply:

If you are a motivated and experienced Machine Learning Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you

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