SymphonyAI - Senior Data Scientist

SymphonyAI Industrial, Inc.; Bengaluru; Sur place; INR 2 500 000 - 4 500 000; Plein temps

Résumé du poste

SymphonyAI Industrial, Inc. is seeking a seasoned Data Scientist to ideate and build solutions for complex industrial problems using our AI/ML platform.

You will work with multivariate time series, images, and text data to enhance predictive maintenance and operational optimization across assets. You will collaborate with engineers, domain experts, and product managers, translating analytic ideas into production-ready Python code and deploying cloud-based solutions on AWS, Azure, or Google

Qualifications

• 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 with 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).

Responsabilités

• 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.

Connaissances

Machine Learning

Statistics

Problem solving

Communication with stakeholders

Formation

Bachelor's or Master's in a quantitative field

Outils

Scikit-learn

TensorFlow

Keras

Pandas

Python

Description du poste

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.

(ref:hirist.tech)