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SDET

Global Sas Icims Com · Pune, UNAVAILABLE, IN · Active · iCIMS

Job facts

FieldValue
CompanyGlobal Sas Icims Com
TitleSDET
Normalized title-
Department / teamResearch and Development
LocationUNAVAILABLE, IN, United States
Work model-
Employment typeOTHER
Salary-
Statusactive
ATS provideriCIMS
Posted / first seen2026-04-06 / 2026-05-31
Changed / last seen2026-06-01 / 2026-06-06

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Company jobsActive postings from Global Sas Icims Com.Open
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ATS provider jobsActive postings observed through iCIMS.Open
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City jobsActive postings in UNAVAILABLE.Open
Department jobsActive postings in Research and Development.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGlobal Sas Icims Com
Source58a4a327-e97f-4481-94e5-fd4c2e85ced4
ATS provideriCIMS

Description

We are a global leader in data and AI. Through our software and services, we empower customers worldwide to transform data into intelligence—and questions into answers. If you’re seeking a dynamic, rewarding career with flexibility and a world-class employee experience, you’ll find it here. We’re consistently recognized for our inclusive, purpose-driven culture and innovative technologies by organizations such as Fast Company, Forbes, Newsweek, and others. About the Role This role is based at the SAS R&D Center in Pune and is part of the SAS Foundation team. We are seeking a Sr. Associate Analytical Tester to participate in the design, development, and testing of software for our Natural Language Processing (NLP) solutions, in accordance with designated development and testing practices, timelines and quality expectations. You’ll also develop and maintain automated test suites used by organizations around the world. If you're passionate about software quality and interested in advancing the state of analytics technology, this role might be for you! In this role, you will work with a collaborative, experienced team to build and maintain industry-leading NLP solutions. Key Responsibilities Gathers requirements from stakeholders (product management, development, testing, management etc.) to determine SAS software performance goals. Verifies whether performance of software is meeting goals by experimentation - including experiment design, scripting, prototyping, manual testing, data bulk-up, load generation etc. Creates and maintains high quality test automation using modern development techniques and provides key data points to support metrics-based decision making. Produces and analyzes metrics that illustrate the quality of applications and develop insight that drives the direction of quality engineering. Works with team to promptly triage test failures with precision and accuracy, maintaining the health of the build pipeline. Works collaboratively with development, product, operations, and support peers to encourage quality, as a key design element in all work efforts. Engages in code reviews for product, test, and infrastructure code. Protects users from escaped defects, participate in support escalations, and value Customer Experience (CX) above all. Understands the role of deployment, migration, security, and performance in the continuous delivery lifecycle. Practices effective techniques for deploying and operating SAS software in a multi-cloud environment. Assists the development of NLP models for tasks such as text classification, entity recognition, search, summarization, sentiment analysis, and AI agents. Stays up to date with advancements in NLP, LLMs, and AI research, and guide adoption where relevant. Requirements Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field 3-5 years of overall experience, including: At least 1 years of hands-on experience testing software 2+ years of experience in NLP / Machine Learning roles Strong interpersonal, written, and verbal communication skills. Experience with Agile software development methodologies and practices. Strong understanding of software development processes and quality standards. Demonstrated ability to consistently deliver high-quality software on schedule. Strong attention to detail while maintaining a clear understanding of the broader business context. Proven ability to collaborate within and across teams to achieve shared objectives. Equivalent combination of related education, training and experience may be considered in place of the above qualifications. Mandatory Technical Skills Strong experience designing and developing Python APIs. Experience with PyTest. Hands-on experience with transformer-based models (e.g., BERT, GPT, T5, LLaMA) Proficiency in Python and common ML/NLP frameworks (e.g., PyTorch, TensorFlow, Hugging Face, spaCy) Strong expertise in NLP techniques such as classification, text clustering, sentiment analysis, entity extraction, parsing, machine learning, deep learning, LLM and Agentic AI. Background in search, recommender systems, or speech recognition is a plus Capability to identify technical gaps and drive continuous improvement. Experience researching, evaluating, and testing new technologies. Strong analytical skills to evaluate complex information, develop clear recommendations, and present findings effectively. Creative problem-solving skills with strong judgment and decision-making ability. You are welcome here. At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Additional Information: Please insert appropriate compliance verbiage for your country. SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected]. Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more. #SAS

Full job record

Job IDa6df282b005b41b1eb75a9fc6cea52231fee4ac7
Org ID6f1e4f32-f254-4f53-8063-eacfd4acc83b
Source ID58a4a327-e97f-4481-94e5-fd4c2e85ced4
Board ID58a4a327-e97f-4481-94e5-fd4c2e85ced4
Providericims
Provider Job Key41744
TitleSDET
Normalized Title
Statusactive
Activeyes
Location TextPune, UNAVAILABLE, IN
DepartmentResearch and Development
Team
Employment TypeOTHER
Workplace Type
Remote Policy
CountryUnited States
RegionIN
CityUNAVAILABLE
Salary RawWe are a global leader in data and AI. Through our software and services, we empower customers worldwide to transform data into intelligence—and questions into answers. If you’re seeking a dynamic, rewarding career with flexibility and a world-class employee experience, you’ll find it here. We’re consistently recognized for our inclusive, purpose-driven culture and innovative technologies by organizations such as Fast Company, Forbes, Newsweek, and others. About the Role This role is based at the SAS R&D Center in Pune and is part of the SAS Foundation team. We are seeking a Sr. Associate Analytical Tester to participate in the design, development, and testing of software for our Natural Language Processing (NLP) solutions, in accordance with designated development and testing practices, timelines and quality expectations. You’ll also develop and maintain automated test suites used by organizations around the world. If you're passionate about software quality and interested in advancing the state of analytics technology, this role might be for you! In this role, you will work with a collaborative, experienced team to build and maintain industry-leading NLP solutions. Key Responsibilities Gathers requirements from stakeholders (product management, development, testing, management etc.) to determine SAS software performance goals. Verifies whether performance of software is meeting goals by experimentation - including experiment design, scripting, prototyping, manual testing, data bulk-up, load generation etc. Creates and maintains high quality test automation using modern development techniques and provides key data points to support metrics-based decision making. Produces and analyzes metrics that illustrate the quality of applications and develop insight that drives the direction of quality engineering. Works with team to promptly triage test failures with precision and accuracy, maintaining the health of the build pipeline. Works collaboratively with development, product, operations, and support peers to encourage quality, as a key design element in all work efforts. Engages in code reviews for product, test, and infrastructure code. Protects users from escaped defects, participate in support escalations, and value Customer Experience (CX) above all. Understands the role of deployment, migration, security, and performance in the continuous delivery lifecycle. Practices effective techniques for deploying and operating SAS software in a multi-cloud environment. Assists the development of NLP models for tasks such as text classification, entity recognition, search, summarization, sentiment analysis, and AI agents. Stays up to date with advancements in NLP, LLMs, and AI research, and guide adoption where relevant. Requirements Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field 3-5 years of overall experience, including: At least 1 years of hands-on experience testing software 2+ years of experience in NLP / Machine Learning roles Strong interpersonal, written, and verbal communication skills. Experience with Agile software development methodologies and practices. Strong understanding of software development processes and quality standards. Demonstrated ability to consistently deliver high-quality software on schedule. Strong attention to detail while maintaining a clear understanding of the broader business context. Proven ability to collaborate within and across teams to achieve shared objectives. Equivalent combination of related education, training and experience may be considered in place of the above qualifications. Mandatory Technical Skills Strong experience designing and developing Python APIs. Experience with PyTest. Hands-on experience with transformer-based models (e.g., BERT, GPT, T5, LLaMA) Proficiency in Python and common ML/NLP frameworks (e.g., PyTorch, TensorFlow, Hugging Face, spaCy) Strong expertise in NLP techniques such as classification, text clustering, sentiment analysis, entity extraction, parsing, machine learning, deep learning, LLM and Agentic AI. Background in search, recommender systems, or speech recognition is a plus Capability to identify technical gaps and drive continuous improvement. Experience researching, evaluating, and testing new technologies. Strong analytical skills to evaluate complex information, develop clear recommendations, and present findings effectively. Creative problem-solving skills with strong judgment and decision-making ability. You are welcome here. At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Additional Information: Please insert appropriate compliance verbiage for your country. SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected]. Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more. #SAS
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://global-sas.icims.com/jobs/41744/sdet/job
Apply URLhttps://global-sas.icims.com/jobs/41744/sdet/job
First Seen At2026-05-31 18:40:58Z
Last Seen At2026-06-06 20:21:57Z
Last Checked At2026-06-06 20:21:57Z
Last Changed At2026-06-01 13:21:07Z
Inactive At
Source Posted At2026-04-06 04:00:00Z
Source Updated At2026-04-14 04:20:10Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=icims/board=global-sas.icims.com/date=2026-06-06/2026-06-06T20-21-53-248Z-b7b0b60d6f0c7642e31a0f715ef95f1d9240118f3350911af35936f97f77ea43.json
Event Fields
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Parsed Structured
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Extensions
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If you're passionate about software quality and interested in advancing the state of analytics technology, this role might be for you!</p>\n<p>In this role, you will work with a collaborative, experienced team to build and maintain industry-leading NLP solutions.</p>\n<p> </p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n <li>Gathers requirements from stakeholders (product management, development, testing, management etc.) to determine SAS software performance goals.</li>\n <li>Verifies whether performance of software is meeting goals by experimentation - including experiment design, scripting, prototyping, manual testing, data bulk-up, load generation etc.</li>\n <li>Creates and maintains high quality test automation using modern development techniques and provides key data points to support metrics-based decision making.</li>\n <li>Produces and analyzes metrics that illustrate the quality of applications and develop insight that drives the direction of quality engineering.</li>\n <li>Works with team to promptly triage test failures with precision and accuracy, maintaining the health of the build pipeline.</li>\n <li>Works collaboratively with development, product, operations, and support peers to encourage quality, as a key design element in all work efforts.</li>\n <li>Engages in code reviews for product, test, and infrastructure code.</li>\n <li>Protects users from escaped defects, participate in support escalations, and value Customer Experience (CX) above all.</li>\n <li>Understands the role of deployment, migration, security, and performance in the continuous delivery lifecycle.</li>\n <li>Practices effective techniques for deploying and operating SAS software in a multi-cloud environment.</li>\n <li>Assists the development of NLP models for tasks such as text classification, entity recognition, search, summarization, sentiment analysis, and AI agents.</li>\n <li>Stays up to date with advancements in NLP, LLMs, and AI research, and guide adoption where relevant.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n <li>Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field</li>\n <li>3-5 years of overall experience, including:\n  <ul>\n   <li>At least 1 years of hands-on experience testing software</li>\n   <li>2+ years of experience in NLP / Machine Learning roles</li>\n  </ul></li>\n <li>Strong interpersonal, written, and verbal communication skills.</li>\n <li>Experience with Agile software development methodologies and practices.</li>\n <li>Strong understanding of software development processes and quality standards.</li>\n <li>Demonstrated ability to consistently deliver high-quality software on schedule.</li>\n <li>Strong attention to detail while maintaining a clear understanding of the broader business context.</li>\n <li>Proven ability to collaborate within and across teams to achieve shared objectives.</li>\n</ul>\n<ul>\n <li>Equivalent combination of related education, training and experience may be considered in place of the above qualifications.</li>\n</ul>\n<p><strong>Mandatory Technical Skills</strong></p>\n<ul>\n <li>Strong experience designing and developing Python APIs.</li>\n <li>Experience with PyTest.</li>\n <li>Hands-on experience with transformer-based models (e.g., BERT, GPT, T5, LLaMA)</li>\n <li>Proficiency in Python and common ML/NLP frameworks (e.g., PyTorch, TensorFlow, Hugging Face, spaCy)</li>\n <li>Strong expertise in NLP techniques such as classification, text clustering, sentiment analysis, entity extraction, parsing, machine learning, deep learning, LLM and Agentic AI.</li>\n <li>Background in search, recommender systems, or speech recognition is a plus</li>\n <li>Capability to identify technical gaps and drive continuous improvement.</li>\n <li>Experience researching, evaluating, and testing new technologies.</li>\n <li>Strong analytical skills to evaluate complex information, develop clear recommendations, and present findings effectively.</li>\n <li>Creative problem-solving skills with strong judgment and decision-making ability.</li>\n</ul>\n<p> </p>\n<p><strong>You are welcome here.</strong></p>\n<p>At SAS, it’s not about fitting into our culture – it’s about adding to it. 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