SymphonyAI - Senior Data Scientist
Summary
Senior Data Scientist at Symphony Industrial AI in Bangalore, building predictive, generative and agentic AI solutions for industrial predictive maintenance and operational optimization. Works with multivariate time series, image and text data using Python ML toolkits (Scikit-learn, TensorFlow, Keras, Pandas), cloud platforms, and industrial systems like SCADA and historians.
About the role:
As a Data Scientist at Symphony Industrial AI, you will be ideating and creating solutions for some of the most complex industrial problems utilizing our cutting-edge AI/ML platform.
By developing and blending some of the best-in-class AI/ML methods for multivariate time series data, images, semi- and unstructured data including text, with core asset maintenance and process control systems, you will build new groundbreaking solutions that will fundamentally alter predictive maintenance and operational optimization.
Key Responsibilities:
- Interact and collaborate with engineers, data scientists, domain experts, and product managers to identify and discover insights from customers to continually develop our products.
- Directly interact with customers & domain experts across industries to understand and help solve their business problems.
- Become a master advocate and leader of Symphony Industrial AI's products.
- Serve as a technical and subject matter expert for sales meetings and events.
- Carry out exploratory analysis of industrial data.
- Build and deploy predictive AI, generative AI and agentic AI solutions for industrial use cases.
Tech Stack & Requirements:
- Bachelor's or master's in a quantitative field and engineering.
- 5+ years of utilizing Machine Learning in an industrial or related organization.
- Solid understanding of statistics and machine learning algorithms.
- Expertise with Python-based data science toolkits like Scikit-learn, TensorFlow, Keras, Pandas.
- Experience and expertise in first principles modeling, dynamic optimization, signal & image processing, NLP is highly preferable.
- Ability to translate analytic ideas into code using production-quality Python code.
- Familiarity with agile development methodology, git version control, Linux OS, and use of API services.
- Experience with solutions running off historians (OSI PI, IP21, etc.) and SCADA DCS systems (ABB, GE, Siemens, etc.) and familiarity with connection protocols such as OPC UA/DA, ODBC, etc.
- Experience with deploying solutions on cloud infrastructure (Azure, AWS, Google).
- Extremely good, proven problem-solving skills.
- Ability to travel as needed.