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Foundry
Artificial Intelligence/Machine Learning Engineer
3 months ago | 310 views | 3 applications

Artificial Intelligence/Machine Learning Engineer

Full-time
Start-up
New York
Per year
$100,000 To $200,000

About the company

At Foundry, we’re not waiting for a decentralized financial future — we’re building it now. By empowering institutions with the tools they need to mine and stake digital assets, we’re thoughtfully driving the industry forward. Are you a driven blockchain enthusiast interested in joining our team? Check out our open roles. Also, if you have an interest in Foundry and a passion for our industry, but don't see a position that is a fit for you at this time, please submit your application to the General Interest and one of our recruiters will review your application.

Job Summary

WHAT YOU WILL DO:

📍Train and deploy models for continuous improvement guided by rankings on the Bittensor network. 📍Design and develop machine learning models and algorithms to address specific business needs. 📍Utilize advanced data analysis techniques to extract meaningful insights from large datasets. 📍Evaluate and select appropriate datasets and data representation methods. 📍Stay updated on the latest advancements in AI/ML technologies and incorporate them into the development process. 📍Collaborate with software engineers to integrate machine learning models into production systems. 📍Conduct thorough testing and validation of models to ensure accuracy and reliability. 📍Collaborate with domain experts to enhance model performance and interpret results. 📍Create and maintain documentation for all developed models, algorithms, and workflows.

Minimum Qualifications; Knowledge, Skills and Abilities:

📍Master's degree in Computer Science, Machine Learning, Statistics, or a related field. 📍Minimum of 3 years of professional experience in artificial intelligence and machine learning or equivalent combination of education and experience. 📍Proficient in programming languages such as Python, Java, or C++. 📍Strong experience with machine learning frameworks including TensorFlow or PyTorch. 📍Solid understanding of statistical concepts and machine learning algorithms. 📍Experience with data preprocessing, feature engineering, and model evaluation. 📍Excellent problem-solving and critical-thinking skills. 📍Effective communication skills with the ability to convey complex concepts to non-technical stakeholders. 📍Proven ability to work collaboratively in a team environment. 📍Strong attention to detail and commitment to delivering high-quality solutions. 📍Interest in decentralized computing and decentralized machine learning. 📍Knowledge of natural language processing (NLP).

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