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Senior - Software

Ejgk Fa Em2 Oraclecloud Com CX 1 · Gurgaon-KPMG-4-Floor/Bldg.10, Gurugram, Haryana, IN · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEjgk Fa Em2 Oraclecloud Com CX 1
TitleSenior - Software
Normalized title-
Department / team-
LocationHaryana, IN, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-03-20 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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Linked records

CompanyEjgk Fa Em2 Oraclecloud Com CX 1
Source04604479-ffad-425f-8b74-43356cf489e1
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. TempHtmlFile Forensic-Ftech KPMG has a dedicated Forensic Technology lab which enables the recovery and use of critical digital evidence to support investigations and litigation. Using various tools (proprietary, open source, vendor tools), we can extract, transform and visualize information from any source in any format, including laptops, mobile phones and other electronic devices. ‎ ‎ The tools can help establish whether evidence has been erased or modified; analyze electronic content and patterns of Internet and e-Mail usage; recover deleted data; and assess and explain metadata within recovered files, even if certain persons sought to destroy it. 1. Strong experience in developing of AI models using multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. Proven experience with developing and testing of various ML models, deep learning, Tensorflow and NLP. 2. Experience in validation of existing AI models to check bias & fairness appropriately based on above mentioned risk tiering. High risk models might have high exposure to bias & fairness issues. 3. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability 4. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world 5. Tune the model by reviewing the parameters for coverage, accuracy, applicability and model bias. 6. Strong expertise in database management software (e.g. SQL Server, Oracle etc.), statistics and machine learning software (e.g. Python, R etc.) and link analysis/data visualization software, big data platforms 7. Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership 8. 4+ years of experience in applying AI to practical and comprehensive technology solutions 9. Experience in building dashboards with Tableau, QlikView, Power BI, Spotfire etc. 10. Strong knowledge of SQL and relational databases like MySQL, Oracle, etc. Additional skills and attributes to success:  Experience in performing analytics for a range of forensic investigations to identify red flags and evidences of fraud through data analytics. Note:  Passion for Data Analytics along with a minimum of 5-6 years of experience in programming skills. 5-6 year prior experience to any data analytics tools and techniques is also beneficial. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Qualifications TempHtmlFile Qualifications • Btech/ Mtech/ MCA/BCA • Requires a bachelor's degree or equivalent. Will need good communication skills, a calm voice in a crisis, an ability to efficiently solve new technical problems, and a broad knowledge of computer systems and security.

Full job record

Job ID151323c230c7f9a049523b7c0ddbe8461a6785eb
Org IDedf1bf1c-6cfc-4465-a6ed-807f52bb1e56
Source ID04604479-ffad-425f-8b74-43356cf489e1
Board ID04604479-ffad-425f-8b74-43356cf489e1
Provideroracle_hcm
Provider Job KeyINTG10041974
TitleSenior - Software
Normalized Title—
Statusactive
Activeyes
Location TextGurgaon-KPMG-4-Floor/Bldg.10, Gurugram, Haryana, IN
Department—
Team—
Employment Typefull_time
Workplace Type—
Remote Policy—
CountryUnited States
RegionIN
CityHaryana
Salary RawDescription About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. TempHtmlFile Forensic-Ftech KPMG has a dedicated Forensic Technology lab which enables the recovery and use of critical digital evidence to support investigations and litigation. Using various tools (proprietary, open source, vendor tools), we can extract, transform and visualize information from any source in any format, including laptops, mobile phones and other electronic devices. ‎ ‎ The tools can help establish whether evidence has been erased or modified; analyze electronic content and patterns of Internet and e-Mail usage; recover deleted data; and assess and explain metadata within recovered files, even if certain persons sought to destroy it. 1. Strong experience in developing of AI models using multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. Proven experience with developing and testing of various ML models, deep learning, Tensorflow and NLP. 2. Experience in validation of existing AI models to check bias & fairness appropriately based on above mentioned risk tiering. High risk models might have high exposure to bias & fairness issues. 3. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability 4. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world 5. Tune the model by reviewing the parameters for coverage, accuracy, applicability and model bias. 6. Strong expertise in database management software (e.g. SQL Server, Oracle etc.), statistics and machine learning software (e.g. Python, R etc.) and link analysis/data visualization software, big data platforms 7. Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership 8. 4+ years of experience in applying AI to practical and comprehensive technology solutions 9. Experience in building dashboards with Tableau, QlikView, Power BI, Spotfire etc. 10. Strong knowledge of SQL and relational databases like MySQL, Oracle, etc. Additional skills and attributes to success:  Experience in performing analytics for a range of forensic investigations to identify red flags and evidences of fraud through data analytics. Note:  Passion for Data Analytics along with a minimum of 5-6 years of experience in programming skills. 5-6 year prior experience to any data analytics tools and techniques is also beneficial. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Qualifications TempHtmlFile Qualifications • Btech/ Mtech/ MCA/BCA • Requires a bachelor's degree or equivalent. Will need good communication skills, a calm voice in a crisis, an ability to efficiently solve new technical problems, and a broad knowledge of computer systems and security.
Salary Min—
Salary Max—
Salary Currency—
Salary Period—
Source URLhttps://ejgk.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/INTG10041974
Apply URLhttps://ejgk.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/INTG10041974
First Seen At2026-05-31 17:56:29Z
Last Seen At2026-06-06 18:50:42Z
Last Checked At2026-06-06 18:50:42Z
Last Changed At2026-05-31 17:56:29Z
Inactive At—
Source Posted At2026-03-20 09:24:06Z
Source Updated At—
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=ejgk.fa.em2.oraclecloud.com|CX_1/date=2026-06-06/2026-06-06T18-49-50-864Z-40e2e4b22b2814ceda086fbc2e47b6240137a7635d38c15d7a672cc2d634f573.json
Event Fields
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    "ExternalDescriptionStr": "<p><strong>About KPMG in India</strong></p>\n<p><strong><em><span>KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.&nbsp;</span></em></strong></p>\n<p><em><span><strong>KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.</strong></span></em></p> TempHtmlFile \n<style>span { white-space: pre-wrap; }\r\np.pt-Normal {\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    line-height: 108%;\r\n    margin-top: 0;\r\n    margin-left: 0;\r\n    margin-right: 0;\r\n    margin-bottom: .001pt;\r\n}\r\nspan.pt-DefaultParagraphFont {\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    text-decoration: underline;\r\n    font-style: normal;\r\n    font-weight: bold;\r\n    margin: 0;\r\n    padding: 0;\r\n}\r\nspan.pt-000000 {\r\n    font-size: 9pt;\r\n    text-decoration: underline;\r\n    font-style: normal;\r\n    font-weight: bold;\r\n    margin: 0;\r\n    padding: 0;\r\n}\r\nspan.pt-DefaultParagraphFont-000001 {\r\n    color: #000000;\r\n    background: #FFFFFF;\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    font-style: normal;\r\n    font-weight: normal;\r\n    margin: 0;\r\n    padding: 0;\r\n}\r\nspan.pt-DefaultParagraphFont-000002 {\r\n    color: #000000;\r\n    font-size: 9pt;\r\n    font-style: normal;\r\n    font-weight: normal;\r\n    margin: 0;\r\n    padding: 0;\r\n}\r\nspan.pt-000003 {\r\n    font-size: 9pt;\r\n    font-style: normal;\r\n    font-weight: normal;\r\n    margin: 0;\r\n    padding: 0;\r\n}\r\np.pt-000004 {\r\n    margin-top: 3.75pt;\r\n    margin-bottom: 0;\r\n    margin-left: 0.47in;\r\n    text-indent: -0.24in;\r\n    background: #FFFFFF;\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    line-height: 108%;\r\n    vertical-align: baseline;\r\n    margin-right: 0;\r\n}\r\nspan.pt-000005 {\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    font-style: normal;\r\n    font-weight: normal;\r\n    margin: 0;\r\n    padding: 0;\r\n    display: inline-block;\r\n    text-indent: 0;\r\n    width: 0.236in;\r\n}\r\nspan.pt-DefaultParagraphFont-000006 {\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    font-style: normal;\r\n    font-weight: normal;\r\n    margin: 0;\r\n    padding: 0;\r\n}\r\np.pt-000007 {\r\n    margin-top: 3.75pt;\r\n    margin-bottom: 3.75pt;\r\n    margin-left: 0.47in;\r\n    text-indent: -0.24in;\r\n    background: #FFFFFF;\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    line-height: 108%;\r\n    vertical-align: baseline;\r\n    margin-right: 0;\r\n}\r\np.pt-Normal-000008 {\r\n    margin-left: 0.24in;\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    line-height: 108%;\r\n    margin-top: 0;\r\n    margin-right: 0;\r\n    margin-bottom: .001pt;\r\n}\r\np.pt-Normal-000009 {\r\n    background: #FFFFFF;\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    line-height: 108%;\r\n    vertical-align: baseline;\r\n    margin-top: 0;\r\n    margin-left: 0;\r\n    margin-right: 0;\r\n    margin-bottom: .001pt;\r\n}\r\np.pt-000010 {\r\n    margin-top: 3.75pt;\r\n    margin-bottom: 3.75pt;\r\n    margin-left: 0.50in;\r\n    text-indent: -0.25in;\r\n    background: #FFFFFF;\r\n    font-family: Calibri;\r\n    font-size: 9pt;\r\n    line-height: 108%;\r\n    vertical-align: baseline;\r\n    margin-right: 0;\r\n}\r\nspan.pt-000011 {\r\n    font-family: Symbol;\r\n    font-size: 9pt;\r\n    font-style: normal;\r\n    font-weight: normal;\r\n    margin: 0;\r\n    padding: 0;\r\n    display: inline-block;\r\n    text-indent: 0;\r\n    width: 0.250in;\r\n}\r\np.pt-000012 {\r\n    margin-top: 3.75pt;\r\n    margin-bottom: 3.75pt;\r\n    margin-left: 0.55in;\r\n    text-indent: -0.25in;\r\n    background: #FFFFFF;\r\n    font-family: Calibri;\r\n    font-size: 10pt;\r\n    line-height: 108%;\r\n    vertical-align: baseline;\r\n    margin-right: 0;\r\n}\r\nspan.pt-000013 {\r\n    font-family: Symbol;\r\n    font-size: 10pt;\r\n    font-style: normal;\r\n    font-weight: normal;\r\n    margin: 0;\r\n    padding: 0;\r\n    display: inline-block;\r\n    text-indent: 0;\r\n    width: 0.250in;\r\n}\r\n</style>\n<div>\n <p class=\"pt-Normal\"><span class=\"pt-DefaultParagraphFont\">Forensic-Ftech</span></p>\n <p class=\"pt-Normal\"><span class=\"pt-000000\"> </span></p>\n <p class=\"pt-Normal\"><span class=\"pt-DefaultParagraphFont-000001\">KPMG has a dedicated Forensic Technology lab which enables the recovery and use of critical digital evidence to support investigations and litigation. Using various tools (proprietary, open source, vendor tools), we can extract, transform and visualize information from any source in any format, including laptops, mobile phones and other electronic devices.</span> <span class=\"pt-DefaultParagraphFont-000002\"> <br>\n    ‎</span> <span class=\"pt-DefaultParagraphFont-000002\"> <br>\n    ‎</span> <span class=\"pt-DefaultParagraphFont-000001\">The tools can help establish whether evidence has been erased or modified; analyze electronic content and patterns of Internet and e-Mail usage; recover deleted data; and assess and explain metadata within recovered files, even if certain persons sought to destroy it.</span></p>\n <p class=\"pt-Normal\"><span class=\"pt-000003\"> </span></p>\n <p class=\"pt-000004\"><span class=\"pt-000005\">1.</span> <span class=\"pt-DefaultParagraphFont-000006\">Strong experience in developing of AI models using multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. Proven experience with developing and testing of various ML models, deep learning, Tensorflow and NLP. </span></p>\n <p class=\"pt-000004\"><span class=\"pt-000005\">2.</span> <span class=\"pt-DefaultParagraphFont-000006\">Experience in validation of existing AI models to check bias &amp; fairness appropriately based on above mentioned risk tiering. High risk models might have high exposure to bias &amp; fairness issues.</span></p>\n <p class=\"pt-000004\"><span class=\"pt-000005\">3.</span> <span class=\"pt-DefaultParagraphFont-000006\">Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability</span></p>\n <p class=\"pt-000004\"><span class=\"pt-000005\">4.</span> <span class=\"pt-DefaultParagraphFont-000006\">Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world</span></p>\n <p class=\"pt-000004\"><span class=\"pt-000005\">5.</span> <span class=\"pt-DefaultParagraphFont-000006\">Tune the model by reviewing the parameters for coverage, accuracy, applicability and model bias. </span></p>\n <p class=\"pt-000004\"><span class=\"pt-000005\">6.</span> <span class=\"pt-DefaultParagraphFont-000006\">Strong expertise in database management software (e.g. SQL Server, Oracle etc.), statistics and machine learning software (e.g. Python, R etc.) and link analysis/data visualization software, big data platforms </span></p>\n <p class=\"pt-000004\"><span class=\"pt-000005\">7.</span> <span class=\"pt-DefaultParagraphFont-000006\">Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership</span></p>\n <p class=\"pt-000004\"><span class=\"pt-000005\">8.</span> <span class=\"pt-DefaultParagraphFont-000006\">4+ years of experience in applying AI to practical and comprehensive technology solutions</span></p>\n <p class=\"pt-000004\"><span class=\"pt-000005\">9.</span> <span class=\"pt-DefaultParagraphFont-000006\">Experience in building dashboards with Tableau, QlikView, Power BI, Spotfire etc.</span></p>\n <p class=\"pt-000007\"><span class=\"pt-000005\">10.</span> <span class=\"pt-DefaultParagraphFont-000006\">Strong knowledge of SQL and relational databases like MySQL, Oracle, etc. </span></p>\n <p class=\"pt-Normal-000008\"><span class=\"pt-000003\"> </span></p>\n <p class=\"pt-Normal-000009\"><span class=\"pt-DefaultParagraphFont-000006\">Additional skills and attributes to success:</span></p>\n <p class=\"pt-Normal-000009\"><span class=\"pt-DefaultParagraphFont-000006\">&nbsp;</span></p>\n <p class=\"pt-000010\"><span class=\"pt-000011\"></span> <span class=\"pt-DefaultParagraphFont-000006\">Experience in performing analytics for a range of forensic investigations to identify red flags and evidences of fraud through data analytics. </span></p>\n <p class=\"pt-Normal-000009\"><span class=\"pt-DefaultParagraphFont-000006\">&nbsp;</span></p>\n <p class=\"pt-Normal\"><span class=\"pt-DefaultParagraphFont-000006\">Note:</span></p>\n <p class=\"pt-000012\"><span class=\"pt-000013\"></span> <span class=\"pt-DefaultParagraphFont-000006\">Passion for Data Analytics along with a minimum of 5-6 years of experience in programming skills. 5-6 year prior experience to any data analytics tools and techniques is also beneficial.</span></p>\n <p class=\"pt-Normal\"><span class=\"pt-000003\"> </span></p>\n</div>\n<br><b>\n <table>\n  <tbody>\n   <tr>\n    <td>\n     <p style=\" margin:0in\"><span>Equal employment opportunity information&nbsp;</span></p><br><span>KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.</span> <br></td>\n   </tr>\n  </tbody>\n </table></b>",
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GET https://api.bluedoor.sh/job-postings/v1/jobs/151323c230c7f9a049523b7c0ddbe8461a6785eb?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/edf1bf1c-6cfc-4465-a6ed-807f52bb1e56JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/04604479-ffad-425f-8b74-43356cf489e1JSON
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