> Markdown version of [/jobs/ext/3115647-data-scientist-generative-ai](https://www.wearedevelopers.com/jobs/ext/3115647-data-scientist-generative-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Generative AI - **Company:** FRACTAL LLC - **Location:** United States - **Experience:** Expert - **Salary:** $150,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Big Data, Computer Programming, Continuous Integration, Database Queries, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Performance Tuning, Search Technologies, SQL Databases, Unstructured Data, Management of Software Versions, Feature Engineering, Data Ingestion, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Pandas, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, Document Classification, GPT, Docker - **Published:** September 27, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/ouau10gbs5 ## About the Role * 8-10 years of experience in Data Science / Machine Learning roles * Strong programming skills in Python (NumPy, Pandas, Scikit Learn) * Hands on experience with Generative AI and LLMs * Solid understanding of: o Machine Learning algorithms (supervised & unsupervised) o Deep Learning (Transformers, Neural Networks) o NLP concepts and techniques * Experience with LLM frameworks such as LangChain, LlamaIndex, or similar * Familiarity with model fine tuning techniques (LoRA, PEFT preferred) * Experience working with cloud platforms (Azure / AWS / GCP) * Knowledge of MLOps tools and practices (MLflow, CI/CD, model monitoring) * Experience with SQL and data querying from large datasets Preferred Skills * Experience building RAG (Retrieval Augmented Generation) systems * Exposure to vector databases (FAISS, Pinecone, Weaviate, Azure AI Search) * Knowledge of Responsible AI, data privacy, and model governance * Experience deploying models using Docker/Kubernetes is a plus Education * Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field. ## Description We are looking for a highly skilled Data Scientist - Generative AI with 8 to 10 years of experience to design, develop, and deploy AI/ML solutions with a strong focus on Large Language Models (LLMs), GenAI applications, and advanced analytics. The ideal candidate will work closely with business, product, and engineering teams to deliver scalable, production grade AI solutions., * Design, develop, and deploy Generative AI and Machine Learning models for real world business use cases * Build and optimize LLM-based solutions (prompt engineering, fine tuning, RAG pipelines, agents) * Work with structured and unstructured data (text, documents, logs, images where applicable) * Develop end to end ML pipelines: data ingestion, feature engineering, model training, validation, and deployment * Apply NLP techniques such as text classification, summarization, embeddings, semantic search, and Q&A systems * Integrate GenAI solutions using APIs and frameworks (OpenAI, Azure OpenAI, Hugging Face, LangChain/LlamaIndex) * Collaborate with MLOps and Engineering teams to enable monitoring, versioning, and scalability * Perform model evaluation, bias detection, and optimization for performance and cost * Communicate insights and model outcomes effectively to technical and non technical stakeholders ## Related Videos - [Your Next AI Needs 10,000 GPUs. 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