Invisible Technologies Inc.
Artificial Intelligence • SaaS • Enterprise
Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.
AI/ML Engineer – Specialist
Job not on LinkedIn
November 6
💃 Latin America – Remote
💵 $30 / hour
⏳ Contract/Temporary
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🚫👨🎓 No degree required
Invisible Technologies Inc.
Artificial Intelligence • SaaS • Enterprise
Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.
📋 Description
• Design and deliver machine learning solutions that combine modern research with practical deployment. • Develop End-to-End ML Models: Design, train, and evaluate models across supervised, unsupervised, and reinforcement learning domains tailored to diverse problem areas. • Collaborate on Real-World Solutions: Work with engineers and data scientists to integrate models into deployable systems operating in production environments. • Client-Focused Problem Solving: Engage with stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into practical outcomes. • Explore, Iterate, Validate: Lead the exploration and analysis of datasets using tools like Pandas, NumPy, and Spark to inform model design and performance evaluation. • Research-Driven Innovation: Identify opportunities to adapt state-of-the-art methods and productionize them to deliver measurable impact.
🎯 Requirements
• 2+ years of hands-on experience building and deploying machine learning models using modern techniques. • Proven ability to take models from prototype to production in Python-based workflows. • Experience working directly with stakeholders to clarify requirements and inform project outcomes.
🏖️ Benefits
• company‑sponsored benefits such as health insurance and PTO do not apply
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