AI Engineer
- Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes;
- Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems;
- Research, develop, and implement AI tools such as NLP, LLM, and IA;
- Collect, preprocess, and curate large datasets required for training generative models;
- Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning;
- Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and
- Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments.
- Bachelor's degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master's degree preferred;
- Proven experience implementing and fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience);
- Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch);
- Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of AI;
- Excellent communication skills to collaborate effectively with cross-functional teams;
- A passion for staying up-to-date with the latest advancements in NLP and AI technologies; and
- Analytical thinker with great attention to detail.
- Flexible work environment
- Competitive compensation and benefits package
- Competitive PTO packages
- Structured career paths with opportunities for professional growth
- Company-sponsored employee appreciation events
- Employee health and wellness initiatives
- Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024
- Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility
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