AI Engineer, Prompt Engineering (Remote, Mexico-Based)

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Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in machine learning, focusing on NLP and prompt engineering.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Proficiency in programming languages such as Python and experience with SQL and Pandas.
• Experience in fine-tuning and optimizing models with prompt engineering techniques.
• Strong analytical and problem-solving skills.
• Experience with Agile methodologies, including Scrum or Kanban, and tools like Jira.
• Strong communication and collaboration skills.
• Ability to thrive in a fast-paced, startup environment.

Responsibilities:

• Develop and fine-tune large language models (LLMs) for NLP applications, focusing on prompt engineering.
• Create and optimize machine learning models using libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Design and implement effective prompts aligned with business and user requirements.
• Collaborate with developers, data scientists, and product managers to design AI-driven solutions.
• Perform comprehensive testing, including prompt iteration and hyperparameter tuning.
• Integrate NLP and machine learning models into business applications.
• Analyze large datasets using tools like Hadoop and Spark.
• Maintain data pipelines and automation workflows using tools like Apache Airflow.
• Stay current with advances in the field to continuously improve models.
• Mentor junior team members on best practices.
• Use version control tools like Git for code integrity.