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Remote-first role, metro location, and broad ML skillset increase candidate competition.
Specialized ML/AI technical skills are transferable across industries, so background fit sensitivity is medium.
Explicit 2-4 years plus mandatory ML/DL, cloud, NLP, and MLOps requirements create strict filters.
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Implement and deploy machine learning algorithms and models into production environments.
Optimize and fine-tune AI/ML models to improve accuracy and efficiency, while maintaining documentation.
Conduct experiments, perform data analysis, and present findings to stakeholders; write clean, scalable code for ML models and APIs.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.
2-4 years of experience in Python programming, machine learning model training/optimization, NLP, and deep learning.
Experience with TensorFlow/Keras, PyTorch, Jupyter Notebooks/Anaconda, and cloud platforms like AWS, Azure, or Google Cloud.
Understanding of Neural Networks (CNNs, RNNs, VAE), data preprocessing, feature engineering, and knowledge of MLOps and CI/CD tools.
Experience working with computer vision libraries (e.g., OpenCV) and NLP frameworks such as SpaCy and Hugging Face.
Ability to independently optimize ML models and translate complex technical concepts for diverse audiences.
Familiarity with AI ethics, model governance, and willingness to stay current with latest AI/ML research and technologies.