Offer summary

Qualifications:

Bachelor's or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field., 2+ years of experience in NLP, machine learning, and computer vision, focusing on prompt engineering or embeddings., Proficiency in Python and deep learning libraries like PyTorch., Experience with NLP frameworks and embedding techniques such as word2vec, BERT, and CLIP..

Key responsabilities:

Develop, test, and refine prompts for AI models to ensure high-quality outputs.

Implement and improve embedding techniques for images and text using deep learning models.

Collaborate with the data team to curate datasets for training and fine-tuning models.

Conduct A/B tests and model evaluations to enhance prompt outcomes and embedding quality.

Job description

99x Americas is looking for a talented AI Engineer specializing in Natural Language Processing (NLP) and Computer Vision for a client in geospatial industry. In this pivotal role, you will be tasked with spearheading innovative AI solutions that integrate both NLP and computer vision technologies, aiming to enhance product features and drive business insights. Your expertise will be instrumental in building intelligent systems that can interpret and process complex data from various sources.

Responsibilities

Prompt Engineering & Optimization: Develop, test, and refine prompts for our AI models to ensure high-quality and contextually relevant outputs that meet our application requirements.
Embedding Models Development: Implement and improve embedding techniques for both images and text, leveraging deep learning models to create high-dimensional vector representations that enable efficient similarity and relevance matching.
NLP & Computer Vision Integration: Apply advanced NLP and computer vision techniques to improve prompt responses and embeddings, supporting the model’s accuracy and flexibility in a variety of use cases.
Data Curation & Training: Collaborate with the data team to curate datasets for training and fine-tuning, optimizing models with real-world data for enhanced prompt performance and embedding accuracy.
Model Evaluation & Experimentation: Conduct A/B tests, model evaluations, and qualitative assessments to improve prompt outcomes and embedding quality continually.
Collaboration with Product Teams: Work closely with product managers and designers to understand application requirements, user needs, and business goals to guide prompt optimization and embedding improvements.
Continuous Learning: Stay updated with the latest in NLP, prompt engineering, embeddings, and AI ethics to recommend new techniques and ensure our models follow best practices.

Requirements

Education: Bachelor's or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field.
Experience: 2+ years of experience in NLP, machine learning, and computer vision, with a strong focus on prompt engineering or embeddings.
Technical Skills:

Proficiency in Python and deep learning libraries (e.g., PyTorch).

Experience with NLP frameworks (e.g., Hugging Face Transformers, spaCy, OPENAI) and embedding techniques (e.g., word2vec, BERT, CLIP).
Familiarity with vector databases and similarity search (e.g., MongoDB, Pinecone).
Knowledge of data cleaning, augmentation, and model evaluation techniques.

Benefits

Your pick when it comes to employment models: CLT/PJ/Cooperativa;
We provide resources for you to grow and learn on the job, including online courses, mentoring, and the latest gen laptops;
A fully remote work environment with flexible working hours;
Bonus for any referrals that we end up hiring;

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