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AI Engineer

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or related field (Master's or Ph.D. preferred), Minimum of 3 years experience as an AI or Machine Learning Engineer with proficiency in TensorFlow, PyTorch, and Python.

Key responsabilities:

Collaborate to identify AI opportunities, design models using popular technology frameworks, and optimize model performance
Clean and preprocess data, build, deploy, and integrate AI models into products while maintaining data pipelines

Advancio SME https://www.advancio.com/

51 - 200 Employees

See more Advancio offers

Job description

This is a remote position.

This is for future opportunities!

About Advancio: We are a global software company that is growing every day, and we look to create a better world for those that come in contact with us, while making our workplace, communities and lives enjoyable.

We build the change we want to see in the world one interaction at a time, one user session at a time, using our core values we make small things great. We are passionate about what we do, we collaborate positively, and most important of all: have fun while we work!

Position Overview: As an AI Engineer, you will be at the forefront of our AI initiatives, responsible for designing, developing, and deploying Artificial Intelligence models and solutions. You will work on a wide range of projects spanning natural language processing, computer vision, recommendation systems, and more. Your expertise in popular AI technologies will be instrumental in shaping our strategy.

Requirements

Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's or Ph.D. preferred).
Minimum of 3 years of professional experience as an AI Engineer or Machine Learning Engineer.
Proficiency in AI and machine learning frameworks, including TensorFlow, PyTorch, and Scikit-Learn.
Strong programming skills in Python and experience with data manipulation libraries (e.g., NumPy, pandas).
Familiarity with deep learning techniques, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
Experience with natural language processing (NLP) libraries and tools (e.g., spaCy, NLTK, Hugging Face Transformers).

Key Responsibilities:

Collaborate with cross-functional teams to understand project requirements and identify opportunities for AI-driven solutions.
Design, develop, and implement AI and machine learning models using popular technologies and frameworks, including but not limited to: TensorFlow, PyTorch, Scikit-Learn.
Preprocess and clean data for training and evaluation, ensuring data quality and integrity.
Experiment with various model architectures and hyperparameters to optimize model performance.
Build and deploy AI models into production environments, taking into account scalability and real-time processing.
Develop and maintain data pipelines and workflows for model training and inference.
Stay up-to-date with the latest advancements in AI and machine learning research and technologies.
Collaborate with software engineers to integrate AI models into applications and products.
Conduct performance evaluations and fine-tune models for continuous improvement.
Implement AI solutions for tasks such as natural language processing, computer vision, recommendation systems, and anomaly detection.
Ensure adherence to best practices in AI model development, including model explainability and fairness.
Document AI models, methodologies, and results for knowledge sharing within the team.