Remote AI / Machine Learning Engineer 2026 | USA

Neural Tech Systems Inc. · Remote – Work from Anywhere (US Time Zone Overlap Preferred)
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📍Location: Remote – Work from Anywhere (US Time Zone Overlap Preferred)
💼Job Type: Full Time
💰Salary: 110,000.00 - 160,000.00 USD
🎓Qualification: Bachelor’s / Master’s Degree in Computer Science, Artificial Intelligence, Data Science, or related technical field
🕒Experience: 3–6 years in AI, Machine Learning, or Data Science
📅Deadline: 2026-06-10
Freshers allowed: No
Preferred experience level: Not specified
Category: IT / Artificial Intelligence & Machine Learning
Posted: 2026-03-04 · Views: 0

Role & Responsibilities

Neural Tech Systems Inc. is actively hiring highly skilled Remote AI / Machine Learning Engineers to build intelligent systems and scalable AI-driven applications for enterprise clients worldwide.

As a Machine Learning Engineer, you will design, develop, train, and deploy machine learning models that power next-generation platforms across industries including finance, healthcare, SaaS, e-commerce, and automation technology.

This role is ideal for professionals who are passionate about:

  • Artificial Intelligence

  • Generative AI

  • Deep Learning

  • Natural Language Processing (NLP)

  • Predictive Analytics

  • AI-powered automation systems

You will collaborate remotely with global engineering teams, product managers, and cloud architects to develop enterprise-grade AI solutions.


🔹 Key Responsibilities

1️⃣ AI Model Development

  • Design, build, and train machine learning models

  • Develop predictive and classification algorithms

  • Work with structured and unstructured datasets

2️⃣ Generative AI & NLP

  • Implement and fine-tune Large Language Models (LLMs)

  • Develop AI chatbots and intelligent automation tools

  • Build NLP pipelines for text analysis and sentiment detection

3️⃣ Deep Learning & Computer Vision

  • Develop neural network architectures

  • Optimize deep learning models

  • Work on computer vision or image recognition systems (if applicable)

4️⃣ Deployment & Cloud Integration

  • Deploy ML models on AWS, Azure, or Google Cloud

  • Monitor model performance and retrain when necessary

  • Optimize AI systems for scalability and efficiency

5️⃣ Research & Innovation

  • Stay updated with latest AI research trends

  • Implement best practices in AI security and compliance

  • Contribute to architectural design discussions

Requirements

✅ Experience

  • 3–6 years experience in AI, ML Engineering, or Data Science

  • Experience deploying models in real-world production environments

✅ Technical Skills

  • Strong Python programming skills

  • Experience with TensorFlow, PyTorch, or Scikit-learn

  • Knowledge of NLP, Generative AI, or Deep Learning frameworks

  • Cloud experience (AWS, Azure, or GCP)

  • Strong SQL and data manipulation skills

✅ Analytical & Soft Skills

  • Excellent problem-solving ability

  • Strong mathematical and statistical knowledge

  • Clear English communication skills

  • Ability to work independently in remote setup

Benefits

🚀 Work on cutting-edge AI projects
🌍 Collaborate with international teams
📈 Career advancement into Senior AI Architect roles
🎓 Access to advanced AI certifications
💻 Exposure to enterprise-level AI systems

✔ Remote work equipment allowance
✔ Paid professional certifications
✔ Annual performance bonus
✔ Stock options (for senior-level roles)
✔ Paid annual leave & public holidays
✔ Learning & development budget

FAQs

Application & Links

🎯 Attempt Mock Test / Practice Set
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