Data Scientist (AI & LLM Specialist) - to 240k + bonus + equity
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This range is provided by Phaxis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$180,000.00/yr - $240,000.00/yr
Additional compensation types
Annual Bonus
Salary: $180k to $240k + bonus + equity
Hybrid position
Job Description
We are seeking a highly skilled Data Scientist with a focus on Large Language Models (LLMs) and Machine Learning (ML) to join our team. The ideal candidate will have deep experience in developing and deploying AI solutions, particularly using LLMs such as GPT-3, BERT, or similar technologies, to solve complex business problems. You will work closely with cross-functional teams to design, build, and deploy data-driven models that leverage advanced language processing techniques and traditional ML methods to drive innovation and business success.
Key Responsibilities:
- Design, develop, and deploy LLM-based applications using technologies such as GPT, Claude, Grok, Gemini, Mistral, LLaMA, Command, Yi, PaLM, Mixtral, Cohere or others.
- Implement AI solutions using LLMs to automate and optimize business processes, such as text generation, summarization, sentiment analysis, and document classification.
- Fine-tune LLMs to improve model accuracy and efficiency for business-specific tasks.
- Develop and deploy machine learning models using various algorithms (e.g., regression, classification, clustering) and deep learning techniques.
- Integrate LLM-based solutions with traditional machine learning models for complex, multi-faceted business problems.
Additional Responsibilities:
- Build and optimize algorithms to handle large-scale data and improve model performance.
- Leverage ML frameworks such as TensorFlow, PyTorch, and Scikit-learn to implement and fine-tune models, focusing on language processing tasks.
- Write clean, efficient Python code for LLM and ML model development.
- Utilize libraries like Pandas, NumPy, and SciPy for data manipulation and analysis, ensuring smooth integration into production environments.
- Evaluate model performance using metrics like accuracy, precision, recall, and F1 score, ensuring robustness and reliability.
- Collaborate with business leaders, engineers, and stakeholders to translate requirements into solutions.
- Present findings to non-technical audiences and create detailed documentation.
Requirements:
- Proven experience as a Data Scientist or ML Engineer focusing on LLMs.
- Strong proficiency in Python and libraries such as Pandas, NumPy, TensorFlow, PyTorch, Hugging Face Transformers.
- Experience deploying and fine-tuning LLMs like GPT-3, BERT for NLP tasks.
- Solid understanding of ML algorithms, AI techniques, deep learning, reinforcement learning.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
- Experience with cloud platforms (AWS, Google Cloud) and big data tools (Hadoop, Spark) is a plus.
- Familiarity with version control systems like Git.
- Bachelor's or Master's in Computer Science, Data Science, Mathematics, or related field.
Preferred Skills:
- Experience building end-to-end pipelines for LLM solutions, deploying in production.
- Familiarity with frameworks like Hugging Face, OpenAI API.
- Experience with NLP tasks such as NER, sentiment analysis, question answering.
- Strong communication skills for explaining complex concepts.
- Experience working in agile teams.
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Inferred benefits
Vision insurance, Medical insurance, 401(k).
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