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About the Role

Lead the development, deployment, and scaling of Generative AI applications to transform internal IT systems and business operations. Build foundational AI infrastructure and products impacting IT automation, business intelligence, and productivity. Drive the use of LLMs and FMs, designing and fine-tuning AI solutions for enterprise challenges. Collaborate across IT, business, and product teams to implement scalable AI-first workflows. This role is at the forefront of enterprise AI transformation within a recognized sports and media organization, driving high-impact initiatives with cutting-edge tools.

Responsibilities

Architect and implement robust, scalable Generative AI systems using LLMs.
Fine-tune LLMs and foundational models for enterprise-specific data, optimizing performance.
Seamlessly integrate AI tools into existing systems like ServiceNow, GitHub, Tableau, and SharePoint.
Define, build, and maintain scalable MLOps and LLMOps infrastructure.
Develop automated AI-driven tools for internal support, IT ticketing, and operational efficiency.
Lead the creation of AI proof-of-concepts and transition them into production-grade features.
Champion ethical AI practices, security compliance, and responsible AI principles.
Collaborate with stakeholders to promote AI literacy and adoption through demos, training, and documentation.
Stay updated on industry trends, research, and emerging models to innovate internal AI capabilities.
Work with business and technology leaders to identify and address high-impact AI use cases.

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related discipline.
Minimum 3 years in applied AI/ML roles, preferably in enterprise contexts.
Experience integrating ML solutions with platforms like ServiceNow, GitHub, or cloud environments.

Skills

Deep understanding of Generative AI, LLMs, NLP, Transformers, and model fine-tuning techniques.
Practical experience building and deploying models using Hugging Face, PyTorch, or TensorFlow.
Strong knowledge of cloud AI infrastructure (AWS/GCP/Azure), containerization (Docker/Kubernetes), and ML pipelines.
Hands-on experience with MLflow, Weights & Biases, or SageMaker.
Strong full-stack engineering skills (Python, JavaScript, Node.js, React).
Experience building APIs and microservices.
Proficient in building ETL pipelines, managing structured/unstructured datasets, and using SQL and NoSQL systems.
R experience (bonus).
Exceptional communication skills to present technical topics to executives.
Strategic mindset to align AI concepts and projects with business objectives.

Location

New York, NY
New Jersey
Remote (one day per week option)

Work Type

Full-time
Hybrid (remote one day per week)

Experience Level

Minimum 3 years in applied AI/ML roles

Education Level

Bachelor’s degree in Computer Science, Machine Learning, Data Science, or related discipline
Master’s degree in Computer Science, Machine Learning, Data Science, or related discipline

Salary/Compensations

$180,000 - $220,000

Benefits

Annual discretionary performance bonus
Medical insurance
Dental insurance
Vision insurance
Life/AD&D insurance
Short-term disability
Long-term disability
Fertility and family-forming assistance
Wellbeing allowance
Educational assistance
Mental health coaching/therapy
Health Savings Account (HSA)
Healthcare Flexible Spending Account (FSA)
Dependent Care Flexible Spending Account (FSA)
401(k) retirement plan
Vacation time
Sick time
Personal days

About the Company

Global sports and media organization.
Mission to inspire and connect people through basketball.
Built around five professional sports leagues: NBA, WNBA, NBA G League, NBA 2K League, and Basketball Africa League.
Major international presence with games and programming in 214 countries and 60 languages.
Merchandise sold in over 200 countries.
NBA Digital assets include NBA TV, NBA.com, the NBA App, and NBA League Pass.
One of the largest social media communities globally with over 2.3 billion likes and followers.
NBA Cares is the global social responsibility platform, partnering with organizations for education, inclusion, youth and family development, and health and wellness.
Committed to growing and celebrating basketball, delivering excitement to fans worldwide.
Manages relationships with television and digital media partners.
Develops marketing partnerships and oversees merchandise licensing.
Deeply committed to social responsibility through NBA Cares.

Equal Opportunity

Considers applicants based on merit, qualifications, and business needs.
Does not discriminate based on race, color, national origin, religion, sex, gender identity, age, disability, alienage or citizenship status, ancestry, marital status, creed, genetic predisposition or carrier status, sexual orientation, veteran status, familial status, status as a victim of domestic violence, or any other protected status.