Senior machine learning engineer

2 weeks ago

Vizag, India V-OptimAIse Full time

Important DetailsThis is Remote Part-Time role and we expect around 12-16 hours of work per week.At times requires travel to client location - costs reimbursed (at max once per month).Pay per month ranges from 40k to 60k (fully based on expertise how well you complete tasks, not experience)Contract shall be at least for 6months. We are indeed looking for long-term collaboration. Hence can be made full time.You should have done: Timeseries Analysis (linear & non-linear), Optimisation (gradient-based and gradient-free), Gaussian Process Regression. (Gen AI expertise is a plus).You should be keen about technology, self-disciplined (work with minimal monitoring), take initiatives to help build the product.Company DescriptionV-Optim AIse 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 DescriptionThis is a part-time remote role for a Senior Machine Learning Engineer specialized in Timeseries Analysis & Generative AI. The Senior Machine Learning Engineer will be responsible for developing and implementing machine learning models for prediction, anomaly detection and non-linear optimisation. Further they develop Gen AI tools for providing valid recommendations based on the model output.Daily tasks also include analyzing timeseries data, optimizing algorithms, building Gen AI tools capable of helping industrial operators and collaborating with cross-functional teams, developing web-apps based in Streamlit. Also involves developing Gen AI tools and leveraging Agentic AI over the app.QualificationsExpertise in timeseries analysisStrong experience applying Gen AI, LLMs and Agentic AI for product based platformsGaussian Processes (or VGPs), TCNN, VAE etcPython for data analysis, model developmentGPflow, Py Torch, Bayesian optimisation techniquesStrong foundation in Computer Science and AlgorithmsProficiency in Statistics and Data AnalysisExcellent problem-solving and critical thinking skillsAbility to work independently and remotelyExperience in AI/ML applications in manufacturing is a plusMasters or advanced degree in Computer Science, or related field

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