Remote AI Engineer (NLP + Computer Vision)

Description:

• 99x Americas is seeking a talented AI Engineer specializing in Natural Language Processing (NLP) and Computer Vision for a client in the geospatial industry.
• In this pivotal role, you will spearhead innovative AI solutions that integrate both NLP and computer vision technologies.
• The aim is 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 include developing, testing, and refining prompts for AI models to ensure high-quality and contextually relevant outputs.
• You will implement and improve embedding techniques for images and text, leveraging deep learning models for efficient similarity and relevance matching.
• Advanced NLP and computer vision techniques will be applied to improve prompt responses and embeddings.
• You will collaborate with the data team to curate datasets for training and fine-tuning, optimizing models with real-world data.
• Conducting A/B tests, model evaluations, and qualitative assessments will be part of your role to continually improve prompt outcomes and embedding quality.
• You will work closely with product managers and designers to understand application requirements, user needs, and business goals.
• Staying updated with the latest in NLP, prompt engineering, embeddings, and AI ethics is essential to recommend new techniques and ensure best practices.

Requirements:

• A Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required.
• A minimum of 2 years of experience in NLP, machine learning, and computer vision is necessary, with a strong focus on prompt engineering or embeddings.
• Proficiency in Python and deep learning libraries such as PyTorch is essential.
• Experience with NLP frameworks like Hugging Face Transformers, spaCy, and OPENAI, as well as embedding techniques such as word2vec, BERT, and CLIP, is required.
• Familiarity with vector databases and similarity search technologies, including MongoDB and Pinecone, is necessary.
• Knowledge of data cleaning, augmentation, and model evaluation techniques is also required.

Benefits:

• You can choose your preferred employment model: CLT, PJ, or Cooperativa.
• The company provides resources for growth and learning on the job, including online courses, mentoring, and the latest generation laptops.
• A fully remote work environment with flexible working hours is offered.
• There is a bonus for any referrals that result in a hire.