Substance
Recruitment • Enterprise • HR Tech
Substance is a recruitment company focused on providing efficient and cost-effective talent acquisition solutions. By using a technology-driven approach, Substance enables businesses to hire top talent at significantly reduced costs, offering up to 70% savings on recruitment fees. The company specializes in connecting employers with high-caliber candidates across various industries, emphasizing a global talent pool from regions such as Eastern Europe, India, Indonesia, Latin America, South Africa, the Philippines, and Vietnam. Substance's flexible hiring model includes options for on-site, remote, and fractional talent, catering to the diverse needs of businesses aiming to build their dream teams without the hefty price tag. They serve markets including the US, Canada, Japan, Saudi Arabia, and more, with a focus on industries such as Energy, Retail, and Financial Services.
Artificial Intelligence Engineer
Job not on LinkedIn
January 21
Substance
Recruitment • Enterprise • HR Tech
Substance is a recruitment company focused on providing efficient and cost-effective talent acquisition solutions. By using a technology-driven approach, Substance enables businesses to hire top talent at significantly reduced costs, offering up to 70% savings on recruitment fees. The company specializes in connecting employers with high-caliber candidates across various industries, emphasizing a global talent pool from regions such as Eastern Europe, India, Indonesia, Latin America, South Africa, the Philippines, and Vietnam. Substance's flexible hiring model includes options for on-site, remote, and fractional talent, catering to the diverse needs of businesses aiming to build their dream teams without the hefty price tag. They serve markets including the US, Canada, Japan, Saudi Arabia, and more, with a focus on industries such as Energy, Retail, and Financial Services.
📋 Description
•We’re seeking a highly skilled AI Engineer. •Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges. •Design scalable data pipelines and preprocess datasets for training and inference. •Collaborate with cross-functional teams to integrate AI models into existing systems. •Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI. •Conduct error analysis and improve models to address bias, fairness, and explainability. •Document technical processes and results, ensuring knowledge sharing within teams.
🎯 Requirements
•Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. •Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations). •Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.
🏖️ Benefits
•Exposure to international markets and the opportunity to work with a diverse team •Flexible remote working arrangements •Innovative environment
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