Senior AI/ML Engineer

Job Description:

Senior AI/ML Engineering – Level 5
 

You will be part of the platform team responsible for the creation and support of the Cognitive Computing Platform. This platform allows customers to interact with Fidelity in natural language across all the channels that are important to them.

The Team

As part of the team, you will architect and lead the implementation of solutions that enable customers to get the most out of what Fidelity can offer at Enterprise scale and across Fidelity’s Businesses. You will create intuitive and highly engaging conversational experiences that enable today's digitally savvy consumer to take control of their finances and feel confident in the choices that they make. As an AI/ML Engineer,

• You’ll help build and maintain large scale ML Infrastructure and ML pipelines, contribute to building advanced analytics, dashboards, machine learning platform and tools to enable both prediction and optimization of model development, extend existing ML Platform and frameworks for scaling model training & deployment. 
• You’ll help build and scale ML operations using various cloud technologies and collaborating with Data Scientists to robustly scale up ML Models for large volumes in production for real time and batch inference to deliver personalized experiences to our customers.
• You’ll effectively partner with Applied Data Scientists and lay software foundations upon which models can be built and explore new technology trends and leverage them to simplify our data and ML ecosystem.
• You'll have the opportunity to contribute ideas to improve our products as well as develop your skills, learn new technologies and languages, and continue to learn.

The Expertise and Skills You Bring

• Demonstrated hands on experience in the design and architecture of large-scale systems as well as software development and delivery cycle.
• Proven experience in developing ML infrastructure in the Cloud (AWS preferred) for DataOps, MLOps and DevOps including creation of automated CI/CD pipelines for ML models training and deploying ML solutions to production.
• Solid experience with building data pipelines in getting the data required to build, train and evaluate ML models, using tools like Apache Spark, Snowflake or other distributed data processing frameworks and CI/CD tools (e.g., Jenkins or equivalent), version control (GitHub), Artifactory.
• Proven experience in Object Oriented Programming (Java, Python), functional scripting languages like JavaScript (NodeJs), Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, pandas, scikit-learn, sklearn, tensorflow, pytorch).
• Solid knowledge of Cloud computing and infrastructure as code (IaS), hands-on experience with developing, deploying and managing applications in the Cloud.
• You have working knowledge with Cloud Technologies such as Docker, Kubernetes, AWS CLI, AWS CloudFormation, and AWS services including EC2, EMR, EKS, S3 and Big Data ML toolkits, such as SparkML and Amazon SageMaker.
• Knowledge of applied data science methods, feature engineering and machine learning algorithms, and usage of word embeddings in Natural Language Processing.
• Proven experience with Service Oriented Architecture (SOA), designing and building RESTful services, including versioning, isolation, and micro-services.
• Has Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.).

 Company Culture

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.

Company Overview

At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want!  We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com.  Fidelity Investments is an equal opportunity employer.

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Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.