Data Engineer AI & ML

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 :

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.