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Fanatics · 2 weeks ago

Software Engineer III - AI/ML

United States

Full-time

Remote

Mid, Senior Level

$128K/yr - $242K/yr

6+ years exp

Fanatics is building a leading global digital sports platform, and they are seeking a Software Engineer III with a focus on AI and Machine Learning. In this role, you will lead technical initiatives to design and optimize data infrastructure, drive AI-driven insights, and collaborate with various teams to enhance customer engagement and operational efficiency.

eSportsManufacturingRetailSporting GoodsSports

H1B Sponsor Likely

Responsibilities

Lead the architecture, design, and implementation of robust data pipelines and infrastructure supporting large-scale AI and machine learning initiatives

Drive the integration and optimization of advanced AI services, including AWS Bedrock, Large Language Models (LLMs), and internal platforms (Salesforce, Tableau, Slack)

Collaborate closely with data scientists and machine learning engineers to optimize model deployments, refine feature engineering strategies, and ensure seamless operationalization of predictive and conversational AI solutions

Develop and enhance advanced real-time analytics workflows focused on conversational intelligence, sentiment analysis, and predictive troubleshooting

Ensure best practices in data quality, security, compliance, and governance are consistently applied across all AI-driven environments

Create and maintain comprehensive tooling and infrastructure to facilitate efficient testing, debugging, monitoring, and continuous improvement of AI applications

Establish and lead comprehensive observability frameworks (logs, metrics, alerts) to maintain system reliability, performance, and actionable operational insights

Proactively participate and provide technical leadership in code reviews, strategic planning, and technical architecture discussions, aligning closely with business objectives

Prototype, develop, and refine advanced, user-friendly UI screens and dashboards, enabling customer success teams to leverage AI-driven insights effectively

Qualification

AI/ML expertiseAWS technologiesJava programmingData engineeringMicroservices architectureReal-time data streamingObservability toolsCI/CD pipelinesAnalytical skillsUI/UX design principlesFront-end developmentProblem-solving skillsCollaboration skills

Required

6 - 10 years of professional experience in data engineering, specifically supporting complex AI, ML, or NLP-driven systems

Deep expertise with cloud technologies (AWS highly preferred), specifically AWS Bedrock, Redshift, MongoDB, and S3

Advanced proficiency in Java, SQL, and orchestration tools such as Airflow or Prefect, managing sophisticated AI-driven workflows

Proven experience integrating and operationalizing Large Language Models (LLMs) and sophisticated machine learning systems in production

Extensive experience with microservices architecture, RESTful APIs, and real-time data streaming technologies (Kafka, Kinesis)

Robust experience with observability tools, CI/CD pipelines, and the reliability and continuous deployment of large-scale AI systems

Strong problem-solving and analytical skills, adept at navigating ambiguity, driving technical clarity, and collaborating effectively across diverse technical and business-focused teams

Preferred

Extensive experience with AWS Bedrock or equivalent managed AI and NLP services

Demonstrated track record of developing and operationalizing real-time AI analytics, predictive troubleshooting tools, and advanced NLP-driven applications

Experience working with Salesforce or other related products or a firm understanding of customer success workflows

Significant background in AI-driven customer service solutions, including chatbots, conversational analytics, and contact center technologies

Familiarity and experience with sentiment analysis, predictive modeling, and dynamic analytics in consumer-facing environments

Strong front-end development experience using modern frameworks (React, Angular, Vue) and deep familiarity with UI/UX design principles

Passionate about emerging AI trends, best practices in data engineering, and their application in dynamic industries such as gaming, sports betting, or customer engagement

Experience building front-end applications using modern frameworks (React, Angular, Vue) and familiarity with UI/UX design principles

Benefits

Medical

Dental

Vision

401K

Paid time off

GymPass

Pet Insurance

Family Care Benefits

And more.

Company

Fanatics

Glassdoor3.5

Fanatics is a sports merchandise retailer that manufactures fan gear and jerseys across retail channels. It is a sub-organization of Kynetic.

Founded in 2002

Jacksonville, Florida, USA

10001+ employees

http://www.fanaticsinc.com

H1B Sponsorship

Fanatics has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2021 (2)

Funding

Current Stage

Late Stage

Total Funding

$4.9B

Key Investors

Clearlake Capital GroupNational Football LeagueAlameda Research

2022-12-06Private Equity· $700M

2022-03-02Private Equity· $1.5B

2022-01-01Series Unknown· $10M

Leadership Team

Joseph Bozich

Advisor to Chief Executive Officer

Michael Mahan

CEO

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Company data provided by crunchbase