Data Engineer - AI & Machine Learning

Description :

Role : Data Engineer - Artificial Intelligence & Machine Learning

Location Options : Bay Area - CA

Responsibilities : -

1. Develop AI / ML Models :

• Design, build, and train machine learning models using appropriate algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning).
• Use various machine learning and AI frameworks (TensorFlow, PyTorch, Scikit-learn, Keras, etc.) to implement models.
• Experiment with different approaches (e.g., decision trees, neural networks, ensemble methods) and optimize for the best performance.
• Perform model selection, training, tuning, and validation using real-world data to achieve the most accurate results.

2. Data Preparation & Feature Engineering :

3. Algorithm Design and Optimization :

4. Deploy Machine Learning Models :

5. Model Evaluation & Testing :

6. Continuous Improvement & Research :

7. Collaboration & Communication :

8. Ethical Considerations and Bias Mitigation :

9. Documentation :

10. Innovation and Prototyping :

Qualifications :

1.Educational Background :

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.

Ph.D. in a relevant field is a plus but not required

2.Technical Skills :

3.Soft Skills :

4.Experience :

5.Preferred Qualifications :

Familiarity with NLP libraries like SpaCy, NLTK, Hugging Face Transformers, etc.

6.Work Environment :

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