Source description
About the role
Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related fields.
2-4 years of experience in working with Python, training / optimizing ML models , NLP and deep learning.
Knowledge of Neural Networks; CNNs, RNNs, VAE.
Experience with TensorFlow / Keras, PyTorch, Jupyter Notebooks / Anaconda
Knowledge of Matplotlib, Seaborn, or Plotly
Experience with any cloud platforms such as AWS, Azure, or Google Cloud.
Solid understanding of machine learning concepts, algorithms, and statistical methods.
Experience with data preprocessing, cleaning, and feature engineering techniques.
Strong analytical, problem-solving skills, attention to detail, ability to work independently and with a team.
Excellent communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences.
Understanding of data privacy, AI Ethics and model governance
Experience with computer vision libraries (OpenCV, etc.) and NLP libraries (spaCy, Hugging Face, etc.).
Knowledge of MLOps practices and experience with CI/CD tools.
Additional Experience Desired:
Understanding of Software Engineering frameworks and methodologies.
Good to have knowledge of NLP techniques and tools, such as SpaCy, NLTK.
Working experience with Generative AI problems will be an added advantage
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