7 дней назад
Senior GenAI Engineer
180 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior GenAI Engineer (Generative AI/LLMs): Building and scaling enterprise AI applications and infrastructure for IT automation, knowledge discovery, business intelligence, and productivity enhancement with an accent on LLM fine-tuning, enterprise integrations, and MLOps/LLMOps. Focus on deploying production-grade AI features, optimizing model performance and latency, and integrating solutions with ServiceNow, GitHub, Tableau, and SharePoint.
Location: Secaucus, United States; hybrid schedule with one remote day per week
Salary: $180,000–$220,000 annually
Company
is a global sports and media organization operating professional basketball leagues, digital platforms, broadcasting, and community initiatives worldwide.
What you will do
- Design, develop, and scale Generative AI systems using LLMs for enterprise automation, knowledge discovery, and workflow acceleration.
- Fine-tune large language and foundational models on enterprise-specific data while optimizing performance, latency, and relevance.
- Integrate AI solutions with ServiceNow, GitHub, Tableau, SharePoint, and other enterprise platforms.
- Build and maintain scalable MLOps and LLMOps infrastructure for model deployment, monitoring, and lifecycle management.
- Develop AI-driven tools for internal support, IT ticketing, operational efficiency, and productivity improvement.
- Lead proof-of-concepts through productionization, adoption planning, governance, documentation, training, and stakeholder collaboration.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related discipline.
- At least 3 years of experience in applied AI/ML, preferably in enterprise environments.
- Deep knowledge of Generative AI, LLMs, NLP, Transformers, and model fine-tuning.
- Hands-on experience with Hugging Face, PyTorch, or TensorFlow, plus cloud AI infrastructure such as AWS, GCP, or Azure.
- Experience with Docker, Kubernetes, ML pipelines, MLflow, Weights & Biases, or SageMaker.
- Strong full-stack engineering skills with Python, JavaScript, Node, React, APIs, microservices, ETL pipelines, SQL, and NoSQL systems.
Culture & Benefits
- Collaborative, fast-paced environment focused on enterprise AI transformation.
- Opportunity to work with LLM platforms and cross-functional IT, business, and product teams.
- Medical, dental, vision, life, disability, fertility and family-forming assistance, and wellbeing benefits.
- Educational assistance, mental health coaching or therapy, HSA and healthcare or dependent care FSA accounts.
- 401(k) retirement plan, vacation, sick time, personal days, and potential discretionary performance bonus.
- Employees working onsite in New York and New Jersey offices must be fully vaccinated against COVID-19, subject to medical or religious accommodations.
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