Net2Source (N2S)*** is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a Software Engineer/ Machine Learning Engineer, to work at Fidelity in Durham, NC
As a Software Engineer/ Machine Learning Engineer, build and maintain large scale Client Infrastructure and Client pipelines. Contribute to building advanced analytics, machine learning platform and tools to enable both prediction and optimization model development. Extend existing Client Platform and frameworks for scaling model training & deployment.
Partner closely with various business & engineering teams to drive the integration of our model outputs. This role is a critical element to delivering Fidelitys promise of creating the best customer experiences in financial services.
The TeamPI Data Engineering team (part of Personal Investing Technology BU) is focused on delivery data and Client solutions for the organization.
As part of this team you will be responsible for building advanced analytics solutions using various cloud technologies and collaborating with Data Scientists to robustly scale up Client Models to large volumes in production.
Has Bachelors or Masters Degree in a technology related field (e.g. Engineering, Computer Science, etc.).
5+ years of experience in implementing Big data solutions in data analytics space.
1-2 years of experience in developing Client infrastructure and MLOps in the Cloud (AWS preferred).Experience in Object Oriented Programming (Java, Scala, Python), Unix scripting or related programming languages and exposure to some of Pythons Client ecosystem (numpy, panda, sklearn, tensorflow, etc.).
Experience with building data pipelines in getting the data required to build and evaluate Client models, using tools like Apache Spark or other distributed data processing frameworks.
Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (Cassandra, Elastic search, Graph database), API and in-memory technologies.
Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (Airflow, Luigi, Kubeflow, or equivalent).
Solid experience in Agile methodologies (Kanban and SCRUM).
Cloud experience (AWS preferred).
You have good technical design and analysis skills.
You the ability to deal with ambiguity and work in fast paced environment.
Your experience supporting mission critical applications.
You are familiar with applied data science methods, feature engineering and machine learning algorithms.
Your Data wrangling experience with structured and unstructured data.
Your experience building Client infrastructure, with an eye towards software engineering.
You have superb communication skills, both through written and verbal channels.
You have excellent collaboration skills to work with multiple teams in the organization.Your ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem.
The Value You DeliverExamples of specific problems youll help solve build tools to help detect shifts in data/features used by Client models to help identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics.
Designing & developing a feature generation & store framework that promotes sharing of data among different Client models, etc.
Designing, Building and supporting mission critical applications to provide the best customer experience
Exploring new technology trends and leveraging them to simplify our data and Client ecosystem
Driving Innovation and implementing solutions with future thinking
Effectively partner with applied Data Scientists and Client software foundations upon which models can be built
Guiding teams to improve development agility and productivity
Resolving technical roadblocks to the team and mitigating potential risks
Delivering system automation by setting up continuous integration/continuous delivery pipelines
At Fidelity, you can find it all here. We reward results-oriented, hardworking individuals with a work environment that cultivates diversity, partnership and collaboration as well as encourages innovative ideas and fresh thinking.
We recognize the value that employees individual differences can chip-in to the forward-thinking and strong future of our company.
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