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:
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Artificial Intelligence
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Generative AI
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Deep Learning
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Natural Language Processing (NLP)
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Predictive Analytics
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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
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Design, build, and train machine learning models
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Develop predictive and classification algorithms
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Work with structured and unstructured datasets
2️⃣ Generative AI & NLP
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Implement and fine-tune Large Language Models (LLMs)
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Develop AI chatbots and intelligent automation tools
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Build NLP pipelines for text analysis and sentiment detection
3️⃣ Deep Learning & Computer Vision
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Develop neural network architectures
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Optimize deep learning models
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Work on computer vision or image recognition systems (if applicable)
4️⃣ Deployment & Cloud Integration
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Deploy ML models on AWS, Azure, or Google Cloud
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Monitor model performance and retrain when necessary
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Optimize AI systems for scalability and efficiency
5️⃣ Research & Innovation
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Stay updated with latest AI research trends
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Implement best practices in AI security and compliance
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Contribute to architectural design discussions
Requirements
✅ Experience
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3–6 years experience in AI, ML Engineering, or Data Science
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Experience deploying models in real-world production environments
✅ Technical Skills
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Strong Python programming skills
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Experience with TensorFlow, PyTorch, or Scikit-learn
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Knowledge of NLP, Generative AI, or Deep Learning frameworks
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Cloud experience (AWS, Azure, or GCP)
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Strong SQL and data manipulation skills
✅ Analytical & Soft Skills
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Excellent problem-solving ability
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Strong mathematical and statistical knowledge
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Clear English communication skills
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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