Proficiency in Programming: Strong coding skills in Python or similar languages commonly used in machine learning and data science.
Generative Al 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.
Experience
Model Deployment: Proven experience in deploying machine learning models into production environments, using tools like Docker, Kubernetes, or cloud services like GCP
Seniority level
Entry level
Employment type
Contract
Job function
Engineering
Industries
Staffing and Recruiting
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