My client is looking for a Data Science Engineer to join their dynamic team and help build scalable, cutting-edge ML solutions.
This will be a contract-to-hire opportunity so candidates must be fully authorized to work in The US ( Client is unable to support visa candidates at this time).
Key Responsibilities:
- Develop, implement, and optimize machine learning models, with a focus on LLMs (e.g., GPT, BERT).
- Collaborate with cross-functional teams to integrate models into production systems.
- Process and analyze large datasets for model training and testing.
- Monitor model performance and implement improvements as needed.
- Stay current with ML and LLM advancements, bringing new ideas and techniques to the team
Requirements:
- 3+ years of hands-on experience in machine learning, including LLMs.
- Strong programming skills (Python, TensorFlow, PyTorch).
- Experience in data preprocessing, feature engineering, and model deployment.
- Familiarity with natural language processing (NLP) techniques.
- Knowledge of cloud platforms (AWS, GCP, Azure) for deploying models.
- Excellent communication and collaboration skills.
- Must be fully authorized to work in The US, now and in the future
Preferred:
- Experience fine-tuning and deploying models like GPT, BERT, or similar LLMs.
- Knowledge of MLOps and containerization tools (Docker, Kubernetes).
- Familiarity with version control systems (Git).
- Demonstrated experience working on project-based work and adhering to timeline goals
- Experience within Financial Services Industry