Senior Machine Learning Engineer - Timeseries analysis

Company Description

V-OptimAIse aims to leverage AI/ML advancements to reduce carbon footprint in steel manufacturing by developing self-learning predictive and diagnostic tools. Our team utilizes under-utilized data to identify production bottlenecks, detect product anomalies, and avoid critical failures. These efforts are geared towards maximizing productivity and improving operational efficiency in steel manufacturing.

Role Description

This is a part-time remote role for a Senior Machine Learning Engineer specialized in Timeseries Analysis. The Senior Machine Learning Engineer will be responsible for developing and implementing machine learning models for prediction, anomaly detection and non-linear optimisation.

Daily tasks also include analyzing timeseries data, optimizing algorithms, and collaborating with cross-functional teams.

Also involves developing GenAI tools and leveraging Agentic AI.

Qualifications

• Expertise in timeseries analysis
• Gaussian Processes (or VGPs), TCNN, VAE etc
• Python for data analysis, model development
• GPflow, PyTorch, Bayesian optimisation techniques
• GenAI and Agents designing
• Strong foundation in Computer Science and Algorithms
• Proficiency in Statistics and Data Analysis
• Excellent problem-solving and critical thinking skills
• Ability to work independently and remotely
• Experience in AI/ML applications in manufacturing is a plus
• Masters or advanced degree in Computer Science, or related field