Senior Machine Learning Engineer

10 hours ago

Visakhapatnam, India V-OptimAIse Full time
This 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.
Timeseries Analysis (linear & non-linear), Optimisation (gradient-based and gradient-free), Gaussian Process Regression. (You should be keen about technology, self-disciplined (work with minimal monitoring), take initiatives to help build the product.

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.

This 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. Daily tasks also include analyzing timeseries data, optimizing algorithms, building GenAI tools capable of helping industrial operators and collaborating with cross-functional teams, developing web-apps based in Streamlit. Also involves developing GenAI tools and leveraging Agentic AI over the app.

Expertise in timeseries analysis
Strong experience applying GenAI, LLMs and Agentic AI for product based platforms
Python for data analysis, model development
Strong foundation in Computer Science and Algorithms
Proficiency in Statistics and Data Analysis
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

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