Overview
Hybrid
Depends on Experience
Full Time
Skills
AI
Large Language Models
Generative AI
NLP
transformer-based models
LLM
multimodal AI
deep learning
Job Details
Title: AI Research Engineer / Data Scientist (LLM)
Location: Morristown, NJ (Hybrid) Local Candidates Only Duration: Full-Time
Interview: Video Interview
About the Role:
We are seeking a Mid Senior Level AI Research Engineer / Data Scientist with deep expertise in Large Language Models (LLMs) and Generative AI to join our advanced AI research and development team.
You will be responsible for building, fine-tuning, and optimizing large-scale language models, conducting cutting-edge research, and driving innovation across NLP and AI applications that have real-world business impact.
Key Responsibilities:
- Design, train, and fine-tune LLMs and transformer-based models for diverse business use cases.
- Conduct AI research experiments and translate findings into production-ready solutions.
- Develop and optimize data pipelines, feature engineering, and model evaluation frameworks.
- Collaborate cross-functionally with engineering, product, and data teams to integrate models into scalable systems.
- Stay up to date with advancements in NLP, LLMs, multimodal AI, and deep learning frameworks.
- Publish research papers, whitepapers, or internal documentation to showcase innovation and technical leadership.
Required Skills & Qualifications:
- Master s or PhD in Computer Science, Data Science, AI, or related field.
- 5+ years of experience in AI/ML or Data Science, focused on NLP and deep learning.
- Proven experience with LLMs (GPT, LLaMA, Claude, Falcon, Mistral, etc.), transformer architectures, and fine-tuning frameworks (LoRA, PEFT, RLHF).
- Strong proficiency in Python, PyTorch or TensorFlow, and Hugging Face Transformers.
- Experience in prompt engineering, model evaluation, and cloud deployment (AWS, Azure, or Google Cloud Platform).
- Strong understanding of machine learning algorithms, data structures, and statistics.
- Familiarity with MLOps tools such as MLflow, Kubeflow, or Vertex AI (plus).
Preferred Qualifications:
- Experience with multimodal AI, retrieval-augmented generation (RAG), or vector databases (Pinecone, FAISS, Milvus).
- Contributions to open-source AI projects or publications in top-tier AI journals/conferences.
- Excellent communication, analytical, and problem-solving skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.