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Summary:
- 99x Americas is looking for 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 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.
