Vacancy expired!
Bring advice through innovative technology to investors everywhere!
At Vanguard, we innovate for the benefit of investors. You can help us change the way the world invests through innovative AI/ML products. This role is within the Enterprise Advice organization, providing technical leadership to a Team that uses cutting-edge technology to bring AI/ML products to life! You will partner with Data Scientists, Data Engineers, DevOps Engineers, and Architects to optimize the Data Science ecosystem to put Data Scientists in the best possible position to develop and operationalize models that enable differentiating Advice products (as products themselves or by driving Advice Methodology).If you like to work in a fast-paced, exciting environment where you will be challenged to approach solutions in new and creative ways, then this is the place for you.Where integrity meets innovationFrom true product ownership and continuous delivery to lean management and agile approaches, you'll pioneer new methods to IT delivery at Vanguard. We're trailblazers for the industry so, as a Technical Lead for AI/ML Eco-system Optimization, you'll have an impact that reaches far beyond your own Team. Get ready to make an impact, as you drive adoption and use of cutting-edge technology, partnering with leaders in the industry and building your profile.In this role, you will:- Bring solutions to life by operationalizing and delivering models for Advice Products
- Build more responsive approaches to building AI/ML models, including development, design, implementation and maintenance
- Provide experienced IT technical lead services, including the direction, evaluation, and selection of new technologies while working closely with CTO, Data Scientists, Data Engineers, Architects, and our AWS Partners to build AI and Data products.
- Provide senior level Tier 3 technical support for complex projects and to ensure reliable operation of the production environment. To develop technical standards and documentation.
- Stay up to date on development methodology, architecture design, technical standards, and new AI/ML and data-related products and services, and translate it into effective solutions
- Be resourceful and enthusiastic about sharing knowledge and collaborating with other teams
- Bachelor's degree in Computer Science, related field, or equivalent
- 5 years of experience with software engineering processes and SDLC
- Proven experience developing, enhancing and implementing AI solutions
- Experience with Feature Engineering and developing Model explorations
- Experience with Spark or Hadoop
- Data Mining exposure to organize structured and unstructured data, build data models, and interpret complex data sets
- Experience with one of the deep learning frameworks such as Tensorflow or Pytorch
- Self-starter who can identify what is needed and take action with minimal guidance
- Strong problem solving skills and capability to understand and set direction for complex technology integration
- Strong collaboration skills
- Passionate about the application of Data Science to tackle problems
- Experienced in full stack development
- Resourceful, and able to drive towards results in a start-up style environment
- Enthusiastic about sharing knowledge and collaborating with other teams
- An enthusiastic self-starter and great teammate
- Master's Degree in Computer Science or a related field.
- Background in Data Science, Mathematics or Statistics
- Knowledge of data engineering and experience with big data
- Experience using Amazon SageMaker, EMR, or Kinesis
- Developing and managing AWS CodePipeline, Bamboo, or similar CI/CD pipelines
- Experience in deploying infrastructure as code (IaC) using popular IaC frameworks such AWS CloudFormation, Troposphere or Terraform.
- Experience working with micro-services architecture and event streaming architecture at scale
- Monitoring and alerting production workloads in AWS
- Proficiency with SQL and NoSQL technology
- Proficiency with Scala, Spark, Java and/or SAS
- Experience developing, testing and deploying APIs
- Experience building applications based on Microservices Architecture
Vacancy expired!