Artificial intelligence engineer

18 hours ago


Bangalore, India Innovate Consultancy Full time

We are actively assisting one of our esteemed clients in #hiring an # Artificial Intelligence Engineer Job Description: Our client is looking for a passionate and skilled AI/ML Engineer. This role involves developing and optimizing AI models for deployment on edge devices, with a focus on anomaly detection and sensor data processing. The ideal candidate will have a strong foundation in machine learning and deep learning, combined with hands-on experience in Python and AI frameworks. Key Responsibilities: Design and implement anomaly detection models using statistical and unsupervised learning techniques. Optimize AI models for edge devices Work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques. Utilize deep learning architectures such as CNNs, RNNs, LSTM, GRU, and GANs. Perform model evaluation, optimization, cross-validation, and hyperparameter tuning. Visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn. Collaborate with cross-functional teams to translate business needs into AIpowered solutions. Required Skills: Mandatory: Fundamental understanding of machine learning and deep learning (CNN, RNN, GAN) Knowledge of anomaly detection techniques (statistical models, unsupervised learning) Experience in integrating AI models (optimization for edge devices, Tensor Flow Lite, etc.) Experience with Python libraries (Tensor Flow, Py Torch, scikit-learn, etc.) Data visualization and analysis skills (Pandas, Matplotlib, Seaborn) AI model optimization and evaluation methods (cross-validation, hyperparameter tuning) Good to have: Sensor data processing (noise reduction, feature extraction, preprocessing techniques) Gen AI and applying RAG techniquue would be added value Other Requirements (Non-Skill Related) Age: 25–35 years old (preferably young to mid-career professionals with flexible thinking and a strong willingness to learn) Interest in Japanese culture (such as anime) Ideal Candidate Profile Strong interest in AI and embedded development with a high motivation for self-learning Team-oriented with excellent problem-solving skills Keen interest in Industrial Io T and a willingness to deepen their knowledge Education: Engineering Background Degree Experience Level: Senior – 4-6 Years Mid-level – 3-4 Years Junior – 1-2 Years



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