AI/ML Engineer

Client Engineer

Preferred Banking and Finance domain (BFS)***Onsite day 1 in Phoenix AZ***Max rate $65

Proficiency in Programming: Strong coding skills in Python or similar languages commonly used in machine learning and data science.

Generative AI Expertise: Experience in prompt engineering, familiarity with large language models (LLMs), vision-language models (VLMs), vector databases, and advanced techniques like Tree of Thought for enhancing model capabilities and performance.

Experience with Client Frameworks: Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.

Knowledge of Algorithms: Deep understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques.

Data Handling Skills: Expertise in data preprocessing, feature engineering, and handling large datasets using tools like Pandas, NumPy, or similar.

API Development Experience: Strong API development experience using Fast API, Django etc.