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Machine Learning Engineer
2 months ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Securian Financial Group. As a Senior Machine Learning Engineer, you will be responsible for leading the design, development, deployment, and monitoring of machine learning pipelines for advanced AI algorithms and machine learning models to solve complex business problems across diverse domains.
Key Responsibilities- Lead the Design and Development of Machine Learning Pipelines: Collaborate with cross-functional teams to design and develop machine learning pipelines for advanced AI algorithms and machine learning models to solve complex business problems.
- Collaborate on Machine Learning Architecture: Work with research scientists, data scientists, and software engineers to develop robust, efficient, and scalable AI systems that integrate seamlessly with existing infrastructure and platforms.
- Translate Research Findings into Practical Solutions: Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
- Stay at the Forefront of Innovation: Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation.
- Provide Technical Guidance and Mentorship: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
- Collaborate with Stakeholders: 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: Deploy, test, and optimize machine learning models and data pipelines in production environments.
- Perform Model Tuning and Optimization: Perform model tuning, prompt tuning, and other machine learning optimization processes alongside other technical experts to maximize the mission impact of the AI product.
- Participate in Enterprise Product Delivery: Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.
- Advanced Degree or Equivalent Experience: Advanced degree (Master's or Ph.D.) or equivalent industry experience in Computer Science, Machine Learning, or related fields.
- 5+ Years of Experience: 5+ years of experience in a similar role in a production environment.
- Experience with Large Scale Datasets: Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, StreamSets, etc.
- Cloud Computing Experience: Hands-on experience with cloud computing platforms such as AWS.
- Strong Proficiency in Python: Strong proficiency in Python and experience with NLP techniques, resources, and methodologies such as Scikit-learn, TensorFlow, PyTorch, HuggingFace, Comprehend, XGBoost, LangChain, etc.
- Experience with System Architectures: 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.
- Agile Development Experience: Experience with iterative development processes, thriving in dynamic and agile environments.
- Ability to Own ML Delivery Tasks: Ability to own machine learning 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: Strong understanding of software design patterns, principles, architecture, and operations.
- Strong Communication Skills: Strong communication skills and the ability to collaborate effectively with business partners, vendors, end users, and cross-functional teams.
Securian Financial Group is a leading financial services company that believes in hybrid work as an integral part of our culture. We offer a comprehensive range of benefits designed to enhance your professional growth, well-being, and work-life balance.
