About the job
Location: 100% Remote Experience: 4-8 Years Open Roles: 8 We are looking for AI Engineers to join a growing team working on AI-powered smart infrastructure, IoT platforms, and intelligent energy systems. This role involves building machine learning and AI solutions that power connected devices, predictive maintenance, and smart building automation. Key Responsibilities • Develop and deploy machine learning models for predictive analytics and anomaly detection • Build AI solutions using Python, TensorFlow / PyTorch, and cloud platforms • Work with LLM / GenAI technologies – LangChain, RAG pipelines • Support AI-driven automation for smart building and energy systems • Deploy models using MLOps and cloud environments (AWS / Azure / GCP) Required Skills • Python & Machine Learning frameworks • TensorFlow / PyTorch / Scikit-learn • LLM / GenAI models – LangChain, RAG pipelines • Cloud platforms (AWS / Azure / GCP) • Experience with IoT or smart infrastructure platforms EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Requirements
- Python
- TensorFlow
- PyTorch
- Machine Learning Frameworks
- LLM Technologies
- Cloud Platforms
Preferred Technologies
- Python
- TensorFlow
- PyTorch
- Machine Learning Frameworks
- LLM Technologies
- Cloud Platforms
About the company
Mindlance focuses on AI-powered smart infrastructure, IoT platforms, and intelligent energy systems. They prioritize innovation and diversity in the workplace.
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