Data Scientist

1 Month ago • 3 Years + • Artificial Intelligence

About the job

Job Description

As a Data Scientist at Symphony IndustrialAI, you'll create solutions for complex industrial problems using their AI/ML platform. You'll develop and blend AI/ML methods for various data types to build solutions for predictive maintenance and operational optimization. Collaboration with cross-functional teams is key, involving prototype building and establishing best practices. You'll directly interact with customers to understand and solve their business problems, acting as a technical expert for sales and events. Responsibilities include collaborating with engineers, data scientists, and product managers; directly interacting with customers and domain experts; and serving as a technical expert.
Must have:
  • 3+ years of ML experience in industrial settings
  • Solid understanding of statistics and ML algorithms
  • Production-quality Python coding skills
  • Expertise with Python data science toolkits (Scikit-learn, TensorFlow, Keras, Pandas)
  • Experience deploying custom solutions
Good to have:
  • Experience with first-principles modeling, dynamic optimization, signal & image processing, NLP
  • Familiarity with Agile, Git, Linux, API services
  • Experience with historians (OSI PI, IP21, etc.) and SCADA DCS systems
  • Familiarity with OPC UA/DA, ODBC, etc.
  • Experience deploying solutions on cloud infrastructure (Azure, AWS, Google)

About the job

Introduction

🚀 Exciting Opportunity Alert!

SymphonyAI is seeking a talented Data Scientist with specialized skills in GenAi and LLM to join our dynamic team in Bangalore. If you're passionate about pushing the boundaries of AI innovation, we want to hear from you! Apply now and be part of shaping the future of data science. #DataScientist #GenAi #LLM #BangaloreJobs 📊💡

Job Description

As a Data Scientist at Symphony IndustrialAI, 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. Your technical and inquisitive aptitude will lead you to interesting & challenging problems, and your creativity and initiative will help you find solutions in the face of confounding information and complex physics.

You will collaborate with cross-functional teams to perform exploration and experimentation to build prototypes and best practices for our applications. This position will bring novel insights to and significant change in how our customers approach complex predictive maintenance & operational optimization problems using advanced AI/ML methods blended with core asset maintenance and process controls practices.

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 IndustrialAI’s products.
  • Serve as a technical and subject matter expert for sales meeting and events.

Qualifications

  • Bachelors or Masters or PhD in quantitative field and engineering.
  • 3+ years utilizing Machine Learning in an industrial or related organization.
  • Solid understanding of statistics and machine learning algorithms.
  • Experience and expertise in first principles modeling, dynamic optimization, signal &

image processing, NLP will be highly preferable.

  • Ability to translate analytic ideas into code using production-quality Python code.
  • Deliver and deploy custom developed solutions.
  • Expertise with Python-based data science toolkits like Scikit-learn, TensorFlow,

Keras, Pandas.

  • Familiarity with the agile development methodology, git version control, Linux OS

and use of API services will be an added advantage.

  • 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., will be an added advantage.

  • Experience with deploying solutions on cloud infrastructure (Azure, AWS, Google)

will an added advantage.

  • Extremely good, proven problem-solving skills.
  • Ability to travel as needed

About Us

SymphonyAI leads the way in innovation, harnessing cutting-edge AI and machine learning to transform industries worldwide. As a global powerhouse in AI solutions, we enable organizations to unlock the full potential of data-driven insights. With a presence in 20 countries, our enterprise applications deliver rapid, transformative value across retail, CPG, finance, manufacturing, media, IT, and public sectors. Combining unmatched AI technology, vertical expertise, and industry-specific insights, we create applications that drive maximum value for our customers. Join us in shaping the future as we build a "World Class Engineering Team" committed to high performance. With over 3000 talented leaders, data scientists, and professionals, we incubate and develop groundbreaking solutions within the SymphonyAI Group.

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About The Company

SymphonyAI is transforming the world's largest industries with packaged AI SaaS. SymphonyAI predictive and generative AI applications supercharge growth and productivity for businesses across retail, CPG, financial services, manufacturing, media, and business IT.

SymphonyAI has rapidly grown from a startup in 2017 to a leading enterprise AI company with over 3,000 talented leaders and data scientists solving the world's most challenging business problems. Learn more at symphonyai.com.

Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

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