Principal AI/ML Engineer at Fidelity Investments

Durham, North Carolina, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TechnologyIndustries

Requirements

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal AI/ML Engineer (or closely related occupation) building large-scale AI/ML pipelines for feature engineering and model deployment, on AWS and Snowflake data warehouses
Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal AI/ML Engineer (or closely related occupation) building large-scale AI/ML pipelines for feature engineering and model deployment, on AWS and Snowflake data warehouses
Demonstrated Expertise architecting, designing, and building feature engineering pipelines, deploying AI models, and optimizing model inference using PyTorch or TensorFlow
Demonstrated Expertise developing ML infrastructure and MLOps in the Cloud using Amazon Web Services (AWS) -- SageMaker, Lambda, Glue, and Step functions
Demonstrated Expertise working with predictive and optimization ML models in a development and production environment for deployment, inference, tuning, and required measurements
Demonstrated Expertise architecting, designing, and building highly scalable Cloud-based Big Data applications according to business user requirements in AWS, using S3, EMR, Lambda, and Athena
Demonstrated Expertise acting as a member of a team responsible for implementing data lake strategies using Snowflake as a platform for structured and semi-structured data
Demonstrated Expertise building and formulating data lake design patterns for data ingestion, processing, and extraction for personalization teams using Snowflake, SQL, Python, data warehousing, and advanced data modeling techniques (Entity-Relationship and Dimensional modeling)

Responsibilities

Designs, develops, tests, deploys, maintains, and enhances data science Machine Learning (ML) models by building Artificial Intelligence/Machine Learning (AI/ML) pipelines
Develops and tests products and applications to support cloud integrations and incorporate AI/ML and Large Language Model (LLM) technologies
Applies technical tools and methodologies to enable efficiency, performance and agility by automating DevOps processes, Continuous Integration and Delivery (CI/CD) pipelines
Designs, develops, and implements Application Programming Interfaces
Creates and maintains cloud-based data pipeline infrastructure and API applications
Improves Unit Test Automation coverage to achieve the Automation Pyramid
Develops applications supporting data pipelines for feature engineering
Develops vector databases to optimize storage and querying of high-dimensional data, enabling rapid access to relevant information for LLM driven applications
Builds and coordinates large-scale ML platforms and tools to enable prediction and optimize models
Designs and develops a feature generation/store framework that promotes sharing of data/features among different ML models
Partners with Data Scientists to help use the foundational platform upon which models can be built and trained
Operationalizes ML models at scale
Builds tools to help detect shifts in data/features used by ML models and identifies issues in advance of deteriorating prediction quality
Monitors the uncertainty of model outputs
Automates prediction explanations for model diagnostics
Explores new technology trends to simplify data and ML ecosystem
Drives innovation and implements solutions with future thinking
Designs and develops REST-based API solutions
Delivers system automations by setting up Continuous Integration/Continuous Delivery (CI/CD) pipelines
Mentors and coaches team members on project activities

Skills

Key technologies and capabilities for this role

Machine LearningAILLMCI/CDDevOpsREST APIVector DatabasesFeature EngineeringData PipelinesCloud InfrastructureUnit TestingPython

Questions & Answers

Common questions about this position

What education and experience are required for this Principal AI/ML Engineer role?

A Bachelor’s degree in Computer Science, Engineering, or related field with five years of experience as a Principal AI/ML Engineer building large-scale AI/ML pipelines on AWS and Snowflake, or a Master’s degree with three years of such experience.

What key skills are needed for this position?

Candidates must have demonstrated expertise architecting, designing, and building feature engineering pipelines, along with experience in AI/ML pipelines, AWS, Snowflake, cloud integrations, CI/CD, REST APIs, and vector databases.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team structure or culture look like here?

The role involves partnering with Data Scientists, mentoring and coaching team members on project activities, and driving innovation in a collaborative environment focused on building ML platforms.

Fidelity Investments

Investment management and financial services provider

About Fidelity Investments

Fidelity Investments offers a range of financial services and tools designed to help individuals manage their investments and stay informed about the markets. Their products include mobile applications and market monitoring tools that provide users with real-time market quotes, news, and trading capabilities. For example, the Fidelity Market Monitor for Glass delivers daily market quotes directly to Google Glass, while the Fidelity app for Windows Phone 8 allows users to access news and trading tools on their mobile devices. Additionally, features like the Watch List Visualization for iPad help users track stock price changes over time using a heatmap. What sets Fidelity apart from its competitors is its focus on integrating new technologies and user-friendly interfaces to enhance the investment experience. The goal of Fidelity Investments is to empower individuals with the information and tools they need to make informed financial decisions.

Boston, MassachusettsHeadquarters

1946Year Founded

$120,238.8MTotal Funding

DEBT_FINANCINGCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Mental Health Support

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Parental Leave

Student Loan Assistance

Tuition Reimbursement

Risks

Loss of key personnel like Gita Bal may impact Fidelity's research capabilities.

Increased competition from Vanguard's new division could draw clients away from Fidelity.

Potential reputational risk from Bitcoin ETF outflows could affect Fidelity's offerings.

Differentiation

Fidelity Labs offers innovative beta products like Market Monitor for Google Glass.

Fidelity's mobile solutions are available on multiple platforms, including Windows Phone and iPad.

Fidelity's Open Limit Order Visualization provides unique insights into order execution proximity.

Upsides

Increased adoption of wearable tech could boost Fidelity's mobile solutions.

Growing interest in Bitcoin ETFs suggests expansion in Fidelity's digital asset offerings.

Rise of AI could benefit Fidelity's data analytics and AI-driven investment strategies.

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