AI Engineer/ Data Scientist- REMOTE

Remote, USA Full-time
AI Engineer/ Data Scientist - Language Model Fine-Tuning Specialist Job Description: We are seeking a highly skilled Data Scientist with expertise in fine-tuning language models using proprietary company data. The ideal candidate will have a strong background in data preparation, model fine-tuning, and benchmarking, as well as staying updated on the latest advancements in the field. Key Responsibilities: • Develop and prepare datasets for language model fine-tuning using proprietary data. • Fine-tune language models using techniques such as LoRA, QLoRA, and GRPO. • Benchmark model performance and analyze results to ensure optimal outcomes. • Stay current with the latest research and innovations in language modeling, including relevant arXiv papers. • Collaborate with cross-functional teams to integrate fine-tuned models into products and services. Requirements: • Proven experience in fine-tuning language models with proprietary datasets. • Proficiency in advanced fine-tuning techniques and methodologies. • Strong analytical skills for benchmarking model performance. • Up-to-date knowledge of recent research papers and developments in the field. • Excellent communication skills and ability to collaborate with technical and non-technical stakeholders. Required Tools and Technologies: • Proficiency in Python programming. • Experience with machine learning frameworks such as TensorFlow or PyTorch. • Familiarity with Hugging Face Transformers for language model manipulation. • Knowledge of data processing and manipulation libraries, such as Pandas and NumPy. • Experience with version control systems like Git. Preferred Qualifications: • Experience with Relevance-Augmented Generation (RAG) and GraphRAG frameworks. • Experience with reasoning models and algorithm development. • Familiarity with additional machine learning tools and libraries. • Advanced degree in Computer Science, Data Science, or related field. Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability." Apply tot his job
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