Machine Learning Engineer
Required Skills & Experience:
- 3-5 years of professional experience in an AI or Machine Learning engineering role.
- Hands-on experience with LLM frameworks and tools like LangChain, LlamaIndex etc.
- Expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn).
- Proven experience with one or more deep learning frameworks, such as TensorFlow or PyTorch.
- Hands-on experience with a major cloud platform (AWS, Azure, or Google Cloud Platform) for training and deploying machine learning models. (Google Cloud Platform Preferred)
- Experience with generative AI and Large Language Models (LLMs).
- Proficiency in data analysis, statistical modeling, and machine learning theory.
- Experience with containerization technologies (e.g., Docker) and deploying models as APIs.
- Excellent communication skills and a proven ability to collaborate effectively in a team environment.
Preferred Qualifications:
- Experience deploying models using API frameworks such as FastAPI or Flask.
- Knowledge of MLOps principles and tools for CI/CD, model monitoring, and lifecycle management.
- A portfolio of projects or contributions to open-source AI/ML libraries.
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