Machine Learning Engineer
hace 2 semanas
**Responsibilities**
- Deploy machine learning models for our AI solutions
- Collaborate with data engineers and data scientists to ensure that data is available and accessible for model development and deployment
- Optimize machine learning models for accuracy, efficiency, and scalability
- Develop and maintain code for model training, testing, and deployment
- Work closely with other teams to integrate machine learning models into our AI solutions
- Monitor and troubleshoot machine learning models to ensure accuracy and performance
- Develop and maintain documentation for machine learning models and code
- Deals well with ambiguous or undefined problems; ability to think abstractly
- Comfortable performing requirements analysis, interfacing with stakeholders of various levels and documenting solutions
- Excellent interpersonal skills
- Ability to articulate technical topics to non-technical audiences both in writing and using diagrams
- Energetic team player who works well across boundaries and readily adapts to change and enjoys rapid development
- Confident of your skills, abilities and willing to share what you know, while learning from others
**You will work in Guadalajara, hybrid model.**
**Minimum Qualifications**
- Master's degree in Machine Learning, Computer Science, Applied Artificial Intelligence, or a related field
- 3+ years of experience in machine learning engineering or a related field
- Strong programming skills in Python
- Experience with PyTorch
- Machine Learning expertise in NLP & LLMs algorithms
- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud
**Preferred Qualifications**
- Machine Learning expertise in ranking, recommendations, classification algorithms
- Experience with TensorFlow
- Experience with Kubernetes/Container resources for deployments
Encora is an equal opportunity employer, committed to fostering, cultivating and preserving a culture of diversity equality and inclusion.
Every individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices, including harassment of any kind.
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