SW5 Consulting Ltd
Drive Innovation with GenAI, NLP, and LLMs
Location:
Hybrid (2-3 days/week in NY or NJ)
Compensation:
Up to $185k + bonus + benefits
Are you excited by the potential of AI to reshape industries? We're looking for a hands-on
Data Scientist
to design, build, and deploy cutting-edge NLP, GenAI, and LLM solutions that deliver real business value. If you're passionate about applied research and eager to leave a tangible impact, let's talk.
What You'll Do
Model Development & Engineering
Architect custom ML and LLM models for batch and stream-based pipelines Build end-to-end NLP solutions including RAG, search/retrieval, fine-tuning, and prompt engineering Collaborate across data science, MLOps, and tech teams to deliver robust, scalable systems Model Evaluation
Design and implement tools to assess performance, reliability, and optimization strategies Continuously improve model efficiency and effectiveness Production Deployment
Work alongside MLOps to push models into production, ensuring stability and scalability What You Bring
Bachelor's or Master's in Computer Science, Engineering, Computational Linguistics, or similar 1+ years developing data-driven solutions using ML, NLP, GenAI, and computer vision Advanced Python skills and hands-on experience with Hugging Face, TensorFlow, Keras, or PyTorch Deep understanding of transformer-based NLP models and LLM fine-tuning Proven experience implementing large-scale retrieval-from keyword search to semantic embeddings Familiarity with trends in open-source LLMs and Generative AI platforms
Location:
Hybrid (2-3 days/week in NY or NJ)
Compensation:
Up to $185k + bonus + benefits
Are you excited by the potential of AI to reshape industries? We're looking for a hands-on
Data Scientist
to design, build, and deploy cutting-edge NLP, GenAI, and LLM solutions that deliver real business value. If you're passionate about applied research and eager to leave a tangible impact, let's talk.
What You'll Do
Model Development & Engineering
Architect custom ML and LLM models for batch and stream-based pipelines Build end-to-end NLP solutions including RAG, search/retrieval, fine-tuning, and prompt engineering Collaborate across data science, MLOps, and tech teams to deliver robust, scalable systems Model Evaluation
Design and implement tools to assess performance, reliability, and optimization strategies Continuously improve model efficiency and effectiveness Production Deployment
Work alongside MLOps to push models into production, ensuring stability and scalability What You Bring
Bachelor's or Master's in Computer Science, Engineering, Computational Linguistics, or similar 1+ years developing data-driven solutions using ML, NLP, GenAI, and computer vision Advanced Python skills and hands-on experience with Hugging Face, TensorFlow, Keras, or PyTorch Deep understanding of transformer-based NLP models and LLM fine-tuning Proven experience implementing large-scale retrieval-from keyword search to semantic embeddings Familiarity with trends in open-source LLMs and Generative AI platforms