Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Collaborating with engineers and analysts to integrate LLMs into AI solutions for tax functions with an accent on incorporating advanced techniques like RLHF and generative AI. Focus on developing deep learning algorithms, training large language models, and optimizing model performance for various computational environments.

Location: Remote (Armenia, Bulgaria, Georgia, Hungary, Lithuania, Poland, Portugal, Romania, Uzbekistan)

Company

hirify.global is an AI-first global tech company with 25+ years of engineering leadership, partnering with Fortune 500 clients like Big Four accounting firms to build digital transformation and AI platforms.

What you will do

• Collaborate with engineers, data scientists, and business analysts to integrate LLMs into AI solutions.
• Incorporate RLHF and advanced techniques for tax-specific AI outputs.
• Embed generative AI solutions into consolidation, reconciliation, and reporting processes.
• Develop and implement Deep learning algorithms for AI solutions.
• Set up and train large language models and other state-of-the-art neural networks.
• Conduct thorough testing, validation, and statistical analysis to optimize model performance.

Requirements

• 6+ years of hands-on background in data science.
• Solid understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI/GenAI model deployment.
• Strong programming skills in Python, PyTorch, and TensorFlow.
• Proficiency in RegEx, Spacy, NLTK, and NLP techniques for text representation and semantic extraction.
• Hands-on experience in developing, training, and fine-tuning LLMs and AI models.
• Practical understanding and experience in implementing techniques like CNN, RNN, GANs, RAG, Langchain, and Transformers.
• Expertise in Prompt Engineering techniques and various vector databases.
• English: Intermediate level required.

Nice to have

• Familiarity with Azure Cloud Computing Platform.
• Competency in Docker, Kubernetes, CI/CD pipelines.
• Practice in Computer Vision, CNN, RNN, LSTM.

Culture & Benefits

• Flexible work options: in-office, hybrid, or remote.
• Medical healthcare and well-being programs.
• Opportunities for ongoing learning and reimbursement.
• Team events, local benefits, and sports compensation.
• Recognition programs and referral bonuses.
• Provision of top-tier equipment.