We are looking for a capable, collaborative and experienced AI/ML Engineer in AI and Machine Learning. This individual will be knowledgeable on the technical aspects of designing, implementing, and testing various initiatives in the Empower Technology Innovation Lab. This role will work both independently and collaboratively across multiple teams and will contribute to engineering decisions within the Innovation Lab technology team.
ESSENTIAL FUNCTIONS:
- Contribute to engineering decisions within the technology Innovation Lab team.
- Experiment with AI/ML technologies with a rigorous focus on business value.
- Research latest technological patterns, technologies and products to inform strategic experimentation roadmap.
- Develop solutions that demonstrate real business value in a lab environment.
- Lead improvements within our development process, culture and tools.
- Design and develop CI/CD automated code delivery pipelines.
- Respond to evolving and changing security conditions. Implement and contribute to security guidelines.
- Understand and apply Empowers security controls in your design and code implementation.
- Assess a variety of third-party and open source technologies.
- Develop technical perspectives, standards, solutions and strategies that add value to the firm.
- Generate innovative ideas and develop prototypes and proof of concepts.
- Design effective solutions with well understood tradeoffs that meet the business requirements.
- Propose new and innovative solutions to meet the fast-changing business environment.
- Adapt to emerging and changing priorities.
- Execute work in an iterative and transparent fashion, regularly demonstrating progress, learnings and value.
- Partner with architecture to inform the design and implementation of the Innovation Lab cloud architecture.
- Consult with production teams who are delivering technological solutions that were incubated in the lab.
- Deliver value through a strong collaborative approach spanning multiple geographically dispersed teams.
- Open, honest and collaborative approach to problem solving.
- Adopt and contribute to best practices, standards & guidance.
QUALIFICATIONS:
- 3+ years of professional software engineering experience in the AI/ML space.
- Deep experience with cloud technologies and native cloud capabilities within platforms like AWS, Azure and Google Cloud Platform.
- Direct experience designing, building and delivering emerging technologies like AI/ML.
- Experience with serverless applications through integrating Lambda functions and event sources, and Microservices.
- Experience with object-oriented programming and experience with at least one object-oriented programming language (Java, C#, Ruby, Python).
- Bachelor s degree in Computer Science, Computer Engineering or a related field of study (or equivalent experience)
