**Experience Level**:
- IC2 - Engineer: 2-4 years of experience.
- IC3 - Senior Engineer: 4-7 years of experience.
- IC4 - Staff Engineer: 7+ years of experience.
**Location**: Mexico City (Hybrid: 2 days in the office, 3 days remote)
**Experience Level**: Previous experience in Generative AI products, NLP, and neural networks.
We are seeking a Machine Learning Engineer with experience in developing generative AI products, focusing on natural language processing (NLP) and deep neural networks. This role requires the ability to design and deploy machine learning models at scale.
**Responsibilities**:
- Design, develop, and deploy advanced machine learning models.
- Collaborate with data scientists and developers to integrate models into existing products.
- Optimize models to improve efficiency and accuracy.
**Technical Requirements**:
**Programming Languages**:
- Python: Advanced experience in ML model development.
**Machine Learning Frameworks**:
- TensorFlow or PyTorch: Model development and training.
- Keras: Rapid prototyping of deep learning models.
**Natural Language Processing (NLP)**:
- Experience with transformers and pretrained models like BERT or GPT.
**Implementation Tools**:
- Docker: Containerization of models for deployment.
- Kubernetes: Container orchestration in production.
**Soft Skills**:
- Ability to innovate and propose new technical solutions.
- Strong analytical and problem-solving skills.
- Excellent collaboration and communication skills.
**Core Competencies**:
- **Abstract Thinking**: Advanced problem-solving abilities in complex AI/ML models.




- **Problem-Solving**: Proven experience in troubleshooting and optimizing AI models.
- **Attention to Detail**: Focused on the fine-tuning and accuracy of models.
**Interview Evaluations**:
- **Punctuality**: Reliable and disciplined in managing project timelines.
- **Communication Skills**: Clear in explaining AI models and their business impact.
- **Cultural Fit**: A good fit with company culture and diversity values.
**Additional Requirements**:
- **International Experience**: Ability to work effectively in **international and diverse teams**.
**Additional Technical Skill Recommendations**:
- **Model Deployment**: Experience in deploying machine learning models to production using **MLflow** or **TensorFlow Serving**.
- **Data Versioning**: Use of tools like **DVC (Data Version Control)** for versioning data and models in ML projects.
- **Hyperparameter Tuning**: Familiarity with hyperparameter tuning techniques using **Optuna** or **Hyperopt** to improve model efficiency and performance.
- **Model Interpretability**: Experience with model interpretation using tools like **SHAP** or **LIME** to explain the decisions of complex models.
Pay: $30,000.00 - $90,000.00 per month
Application Question(s):
- How many years of experience do you have?
- What is your level of English?
- Do you have experience with Docker and Kubernetes?
- Do you have experience with Python, C++ or Java?
- Do you have experience with Machine Learning Frameworks and NLP?
Work Location: Hybrid remote in 11000, Ciudad de México, CDMX

📌 Machine Learning - Engineers All Levels (Ciudad de México)
🏢 Talent Accelerator
📍 Ciudad de México