Contextualization Data Engineer - INTL Hyderabad India
Irving, Texas
Employer: Insight Global
Industry: Data Warehousing
Salary: Competitive
Job type: Full-Time
Insight Global is looking for a talented and experienced OCR Contextualization Engineer to join a Fortune 500 Chemical Manufacturing client in their Hyderabad, India office. As a Contextualization Engineer, you will be
responsible for developing, maintaining and implementing cutting-edge OCR based AI models to contextualize data from complex enterprise systems with documents. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services. Document best practices of ML to be followed by the IT Development and Business teams for indefectible ML systems and for the efficient flow of projects. Identify challenges faced by data analysts and data scientists and develop solutions to integrate into the existing platform. Possess good problem-solving skills and knowledge of machine learning techniques for solving a range of problems. Possess knowledge of neural network programs and natural language processing. Write programs and algorithms to extract insights from large data sets.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
6+ years of experience as Machine Learning Engineer with Optical
character recognition.
Proficient in contextualizing PDF documents with Enterprise systems like
SAP, TrackSys, Aveva PI etc.
Implement AI and ML solutions and establish system operations and
maintenance structures.
Provide strategic and operational advice to the stakeholders regarding
AI/ML infrastructure to serve current and future needs.
Transform data science prototypes and optimize machine learning
solutions for scalability and deployment into production.
Design dynamic ML models and systems which have the ability to train,
retrain, and untrain themselves whenever required.
Periodically evaluate the ML systems and ensure that end solutions are in
alignment with corporate and IT strategies.
Evaluate the variations in data distribution that affects the model
performance.
Visualize data for insights and perform statistical analysis, applying new
insights to improve the model.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
responsible for developing, maintaining and implementing cutting-edge OCR based AI models to contextualize data from complex enterprise systems with documents. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services. Document best practices of ML to be followed by the IT Development and Business teams for indefectible ML systems and for the efficient flow of projects. Identify challenges faced by data analysts and data scientists and develop solutions to integrate into the existing platform. Possess good problem-solving skills and knowledge of machine learning techniques for solving a range of problems. Possess knowledge of neural network programs and natural language processing. Write programs and algorithms to extract insights from large data sets.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
6+ years of experience as Machine Learning Engineer with Optical
character recognition.
Proficient in contextualizing PDF documents with Enterprise systems like
SAP, TrackSys, Aveva PI etc.
Implement AI and ML solutions and establish system operations and
maintenance structures.
Provide strategic and operational advice to the stakeholders regarding
AI/ML infrastructure to serve current and future needs.
Transform data science prototypes and optimize machine learning
solutions for scalability and deployment into production.
Design dynamic ML models and systems which have the ability to train,
retrain, and untrain themselves whenever required.
Periodically evaluate the ML systems and ensure that end solutions are in
alignment with corporate and IT strategies.
Evaluate the variations in data distribution that affects the model
performance.
Visualize data for insights and perform statistical analysis, applying new
insights to improve the model.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
Created: 2024-09-11
Reference: 370107
Country: United States
State: Texas
City: Irving
ZIP: 75063
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