Cyndx is hiring a Lead Data Scientist to architect and build machine learning models that leverage financial and text data. You will be responsible for designing proprietary AI algorithms, including fine-tuning large language models for semantic search, financial estimations, and trend predictions.
What You'll Do
- Design and develop data engineering pipelines to ingest, transform, and integrate new financial data sources
- Maintain and enhance our models using time series analysis, machine learning, and deep learning techniques
- Implement and fine-tune open-source LLMs for specialized financial text generation, summarization, and classification tasks
- Create and maintain features in our FastAPI middleware service, including developing new endpoints and optimizing existing ones
- Participate in code reviews, testing, and deployment processes using modern CI/CD practices
- Develop and suggest solutions and strategies to business challenges
- Work together with engineering and product development teams
What We're Looking For
- 4-8 years of experience as a Data Scientist with significant experience in Gen AI, vector databases, and traditional machine learning
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related STEM field
- Strong foundation in statistics, probability, calculus, and linear algebra, particularly as applied to time-dependent data
- Experience with Python programming and data science libraries (NumPy, Pandas, scikit-learn, PyTorch or TensorFlow)
- Knowledge of NLP concepts and techniques, including word embeddings, transformer architectures, and large language models
- Experience in productionizing code and deploying models to cloud environments, preferably GCP (BigQuery, Cloud Run, GCS) or similar platforms
- Proficiency in SQL and experience working with relational databases
- A strong research mind to read and understand the latest research in AI and NLP
Nice to Have
- Experience with financial data, financial modeling, or quantitative analysis
- Familiarity with time series forecasting techniques
- Experience with infrastructure-as-code tools like Terraform
- Knowledge of Docker containerization and Kubernetes orchestration
- Prior work with agentic AI systems or RAG (Retrieval-Augmented Generation) architectures
- Understanding of MLOps practices and tools
- Experience contributing to open-source projects or building reusable software components
Technical Stack
- Languages & Core Libraries: Python, NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, SQL
- Frameworks & Services: FastAPI, GCP, BigQuery, Cloud Run, GCS
- Infrastructure & Tools: Docker, Kubernetes, Terraform
Team & Environment
You will work with a team of AI engineers and data scientists in a fast-paced environment of creative problem solvers focused on raising the bar.
Benefits & Compensation
- Salary range: $140,000 - $180,000
Work Mode
This role is hybrid and requires work from our West Palm Beach office.
Cyndx is an equal opportunity employer.
