Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Summary: Machine Learning Engineers develop predictive models and AI solutions to support business objectives. They implement algorithms and optimize machine learning workflows.
Key Responsibilities:
- Design and implement machine learning models.
- Train and evaluate models with large datasets.
- Collaborate with data scientists and engineers.
- Optimize algorithms for performance and scalability.
- Deploy models into production environments.
- Monitor and maintain model accuracy and performance.
- Document models assumptions and methodologies.
- Research and apply emerging ML techniques.
- Ensure compliance with ethical AI practices.
- Provide guidance on integrating ML solutions with applications.
Qualifications:
- Bachelors or Masters in Data Science Computer Science or related field.
- 3-5 years of experience in machine learning or AI.
- Proficiency in Python R and ML frameworks (TensorFlow PyTorch).
- Strong statistical and analytical skills.
Preferred Skills/Duties:
- Knowledge of NLP computer vision or deep learning.
- Experience with cloud ML platforms.
- Ability to translate business problems into ML solutions.
- Strong communication and collaboration skills.
Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Summary: Machine Learning Engineers develop predictive models and AI solutions to support business objectives. They implement algorithms and optimize machine learning workflows. Key Responsibilities: Des...
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Summary: Machine Learning Engineers develop predictive models and AI solutions to support business objectives. They implement algorithms and optimize machine learning workflows.
Key Responsibilities:
- Design and implement machine learning models.
- Train and evaluate models with large datasets.
- Collaborate with data scientists and engineers.
- Optimize algorithms for performance and scalability.
- Deploy models into production environments.
- Monitor and maintain model accuracy and performance.
- Document models assumptions and methodologies.
- Research and apply emerging ML techniques.
- Ensure compliance with ethical AI practices.
- Provide guidance on integrating ML solutions with applications.
Qualifications:
- Bachelors or Masters in Data Science Computer Science or related field.
- 3-5 years of experience in machine learning or AI.
- Proficiency in Python R and ML frameworks (TensorFlow PyTorch).
- Strong statistical and analytical skills.
Preferred Skills/Duties:
- Knowledge of NLP computer vision or deep learning.
- Experience with cloud ML platforms.
- Ability to translate business problems into ML solutions.
- Strong communication and collaboration skills.
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