AI & ML Engineer - Pipeline Monitoring @ Indian MNC

Job Description

As a Machine Learning Engineer at iSpock Technologies, you will be responsible for developing cutting-edge AI-driven solutions for detecting anomalies in pipeline pressure waves. Your role will involve working with time-series data, signal processing techniques, and AI-driven pattern recognition to ensure the accuracy and speed of the models. Collaboration with hardware teams will be essential to integrate these AI models into real-world systems successfully. Additionally, you will be expected to optimize and fine-tune existing AI algorithms to enhance their performance. To excel in this role, you should hold a Bachelor's or Master's degree in AI, Data Science, or Mechanical Engineering. Proficiency in programming languages such as Python, MATLAB, or R for AI model development is required. Familiarity with Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn is a plus. Experience in time-series analysis, signal processing, and a problem-solving mindset are also crucial. While an understanding of fluid dynamics is preferred, it is not mandatory. This is a full-time position that offers benefits such as internet reimbursement, paid sick time, and paid time off. The work schedule is during the day shift, and performance bonuses along with yearly bonuses are provided. The work location is in person, and the application deadline is on 23/03/2025, with an expected start date of 24/03/2025.,

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Keyskills:   Python MATLAB R Machine Learning Signal Processing Fluid Dynamics TensorFlow PyTorch