Senior Data Scientist with AWS Generative AI Engineering, AWS Admin & MLOps

Job Title: Senior Data Scientist with AWS Generative AI Engineering, AWS Admin & MLOps Location: Raleigh, NC Work Arrangement: Hybrid (3 days onsite / 2 days remote) Employment Type: Contract Duration: 6 months Pay Range: $45.96/hr. To $49.23/hr. On W2 | $57.14/hr. to $64.00/hr. on C2C Domain: Legal Technology | Information Services & Analytics Application Deadline: June 25, 2026 SKILLS REQUIRED Primary (Must-Have): • 6 to 8+ years of foundational machine learning and data science experience, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms • Strong Python development background alongside deep learning frameworks (PyTorch, TensorFlow, Keras) • Practical experience in Natural Language Processing (NLP) methods and libraries (spaCy, word2vec, Flair, BERT, Hugging Face Transformers) • Production-grade experience with Large Language Models (LLMs), prompt engineering, fine-tuning, and RAG benchmarking using frameworks like LangChain and LlamaIndex • Solid hands-on cloud architecture and administration experience within AWS (or multi-cloud across GCP/Azure) • Proficiency with databases (Relational and NoSQL) and Vector Stores (e.g., PostgreSQL, Elasticsearch, OpenSearch, ChromaDB) Secondary (Good to Have): • Knowledge of distributed computing systems (Scala, Spark, Ray) is highly preferred • Hands-on experience with API development, containerization (Docker/Kubernetes), and cloud-native application deployment • Practical familiarity with MLOps / AIOps pipelines for production machine learning model monitoring and lifecycle governance • Experience working within international frameworks spanning different regions, cultures, and regulatory contexts POSITION OVERVIEW We are seeking an advanced Senior Data Scientist with robust AWS Administration capabilities to coordinate complex cloud and generative artificial intelligence initiatives from our hybrid hub in Raleigh, NC. This position is central to orchestrating the next generation of Python-based machine learning pipelines and LLM-centric platforms. Operating within a high-performing legal technology domain, you will translate complex business needs into secure software designs, optimizing deep learning models and building cloud-native data pipelines that transform complex legal document datasets into production-grade intelligence. ROLES & RESPONSIBILITIES • Develop, tune, and implement highly specialized LLM-based applications and RAG architectures tailored for complex, domain-specific in-house legal needs. • Evaluate, clean, and maintain corporate data assets and gold-standard evaluation datasets, ensuring the highest benchmarks of data integrity and quality. • Design, build, and orchestrate cloud data pipelines for preprocessing, annotating, and managing vast legal document structures across AWS infrastructure. • Collaborate directly with legal domain experts and cross-functional technical teams to map technical designs back to product requirements while maintaining strict ethical compliance. • Conduct rigorous model experimentation, human-in-the-loop validation, and automated benchmarking to optimize accuracy, reliability, and inference latency. • Implement modern software development processes, maintaining strict coding best practices, automated linting, and thorough code reviews for engineering environments. • Administer cloud environments and resources to smoothly handle machine learning deployments, model registries, and containerized API endpoints. BENEFITS Medical | Dental | Vision | 401(k) EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.