AI & Machine Learning Engineer

As an AI/ML Engineer at this innovative Intelligence Platform located in Bangalore at ARTPark, IISc Campus, you will be crucial in developing and experimenting with ML and deep learning models for prediction, optimization, and anomaly detection using time-series, sensor, and operational data. You will be responsible for converting problem statements into measurable ML tasks, implementing clean code, and collaborating with senior engineers to deploy models into production environments. Your strong Python programming skills, solid understanding of ML fundamentals, hands-on experience with PyTorch or TensorFlow, and a curious mindset will be essential in this role. Additionally, your willingness to learn domain concepts such as manufacturing operations and industrial systems will be beneficial. Key Responsibilities: - Develop and experiment with ML and deep learning models for prediction, optimization, and anomaly detection. - Work with time-series, sensor, and operational data to build meaningful, usable analytics for manufacturing. - Convert problem statements into measurable ML tasks and evaluate model performance rigorously. - Implement clean, maintainable code and contribute to scalable ML workflows. - Collaborate with senior engineers to deploy models into production environments. - Take ownership of experiments, iterate fast, and drive outcomes. Required Skills: - Strong Python programming skills. - Solid understanding of ML fundamentals (regression, classification, clustering, evaluation metrics). - Hands-on experience with PyTorch or TensorFlow for deep learning. - Strong grasp of mathematics behind ML (linear algebra, optimization, probability). - Curious mindset and willingness to learn domain concepts (manufacturing operations, industrial systems). Preferred Background: - Graduated from premium institutions. - Exposure to time-series analytics, signal processing, or computer vision is a plus. - Familiarity with MLOps, cloud deployment, or edge inference is beneficial but not mandatory. In this role, you will excel if you think from first principles, are hands-on, experimental, and comfortable with ambiguity. Taking ownership, enjoying solving real-world problems, and believing that AI should create tangible impact are the key attributes that will make you successful in this position. Joining this startup at ARTPark within the IISc ecosystem will provide you with the opportunity to work with cutting-edge research and innovation, build impactful technology that strengthens Indias manufacturing ecosystem, and collaborate with a small, sharp, high-energy team where ideas matter. (Note: Additional details about ARTPark and its focus on robotics, connected autonomous systems, and AI have been omitted in this summary.) As an AI/ML Engineer at this innovative Intelligence Platform located in Bangalore at ARTPark, IISc Campus, you will be crucial in developing and experimenting with ML and deep learning models for prediction, optimization, and anomaly detection using time-series, sensor, and operational data. You will be responsible for converting problem statements into measurable ML tasks, implementing clean code, and collaborating with senior engineers to deploy models into production environments. Your strong Python programming skills, solid understanding of ML fundamentals, hands-on experience with PyTorch or TensorFlow, and a curious mindset will be essential in this role. Additionally, your willingness to learn domain concepts such as manufacturing operations and industrial systems will be beneficial. Key Responsibilities: - Develop and experiment with ML and deep learning models for prediction, optimization, and anomaly detection. - Work with time-series, sensor, and operational data to build meaningful, usable analytics for manufacturing. - Convert problem statements into measurable ML tasks and evaluate model performance rigorously. - Implement clean, maintainable code and contribute to scalable ML workflows. - Collaborate with senior engineers to deploy models into production environments. - Take ownership of experiments, iterate fast, and drive outcomes. Required Skills: - Strong Python programming skills. - Solid understanding of ML fundamentals (regression, classification, clustering, evaluation metrics). - Hands-on experience with PyTorch or TensorFlow for deep learning. - Strong grasp of mathematics behind ML (linear algebra, optimization, probability). - Curious mindset and willingness to learn domain concepts (manufacturing operations, industrial systems). Preferred Background: - Graduated from premium institutions. - Exposure to time-series analytics, signal processing, or computer vision is a plus. - Familiarity with MLOps, cloud deployment, or edge inference is beneficial but not mandatory. In this role, you will excel if you think from first principles, are hands-on, experimental, and comfortable with ambiguity. Taking ownership, enjoying solving real-world problems, and