SW5 Consulting
Are you an experienced Data Scientist with experience in LLM / NLP?
Are you passionate about leveraging automation and AI / ML to drive business value? We have a unique opportunity for hands-on Data Scientists with NLP / Gen AI / LLM to advance their careers and apply their technical expertise in NLP, deep learning, GenAI, and LLMs. Join us in conducting cutting-edge applied research and making a significant impact across multiple stakeholders.
Responsibilities and Impact
ML, Gen AI, NLP, LLM Model Development:
Design and develop custom ML, Gen AI, NLP, and LLM models for batch and stream processing-based AI / ML pipelines. Work on data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP / LLM model development, fine-tuning, and prompt engineering. Collaborate with data science, MLOps, and technology teams to ensure solutions meet all technical and business requirements.
Internal Collaboration:
Work closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to integrate machine learning models smoothly into production systems.
Experience Required
Bachelor's, Master’s, or Ph.D. degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or a related field. 8+ years of professional hands-on experience with large sets of structured and unstructured data to develop data-driven analytics and insights using ML, RAG, and NLP. 3+ years of hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in Python programming. 3+ years of experience developing NLP models, ideally with transformer architectures. 3+ years of experience implementing information search and retrieval at scale, using solutions ranging from keyword search to semantic search using embeddings. Knowledge and hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI). Experienced with NLP, LLMs (extractive and generative), fine-tuning, and LLM model development. Strong familiarity with trends in LLMs and open-source platforms. This role is hybrid and requires you being able to attend the NY or NJ office. The position will pay between $150k-$210k + bonus + benefits + sign-on, depending on experience. Send your resume now.
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ML, Gen AI, NLP, LLM Model Development:
Design and develop custom ML, Gen AI, NLP, and LLM models for batch and stream processing-based AI / ML pipelines. Work on data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP / LLM model development, fine-tuning, and prompt engineering. Collaborate with data science, MLOps, and technology teams to ensure solutions meet all technical and business requirements.
Internal Collaboration:
Work closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to integrate machine learning models smoothly into production systems.
Experience Required
Bachelor's, Master’s, or Ph.D. degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or a related field. 8+ years of professional hands-on experience with large sets of structured and unstructured data to develop data-driven analytics and insights using ML, RAG, and NLP. 3+ years of hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in Python programming. 3+ years of experience developing NLP models, ideally with transformer architectures. 3+ years of experience implementing information search and retrieval at scale, using solutions ranging from keyword search to semantic search using embeddings. Knowledge and hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI). Experienced with NLP, LLMs (extractive and generative), fine-tuning, and LLM model development. Strong familiarity with trends in LLMs and open-source platforms. This role is hybrid and requires you being able to attend the NY or NJ office. The position will pay between $150k-$210k + bonus + benefits + sign-on, depending on experience. Send your resume now.
#J-18808-Ljbffr