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About the role
Upload Resume
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Senior Data Scientist GenAI / RAG
Texas, Houston
07/02/2026
Full Time
Active
Job Description:
Job Summary We are seeking a Senior Data Scientist with a strong background in traditional Machine Learning, Deep Learning, and hands-on experience building enterprise Generative AI solutions. This role is responsible for developing and deploying AI-powered applications, Retrieval-Augmented Generation (RAG) systems, predictive models, and data-driven solutions that solve complex business problems. The ideal candidate will collaborate with cross-functional teams, interact directly with customers, and leverage modern AI technologies to deliver scalable enterprise solutions. Key Responsibilities Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces. Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related technologies. Design, develop, and implement machine learning algorithms to solve complex business problems. Analyze large and complex datasets to generate actionable insights and support data-driven decision-making. Build predictive models and statistical solutions to improve enterprise products and business outcomes. Collaborate with client data science teams across Machine Learning and Deep Learning ecosystems. Work closely with product managers, engineers, and business stakeholders to integrate AI and data science solutions into enterprise products. Develop and deploy machine learning models for production environments. Perform feature engineering, data preparation, and model optimization. Build enterprise knowledge solutions using Generative AI technologies. Work with structured and unstructured datasets to extract meaningful insights. Collaborate directly with customers and stakeholders to understand business requirements and recommend AI-driven solutions. Communicate technical findings and recommendations effectively to both technical and non-technical audiences. Mentor junior data scientists and contribute to knowledge sharing across the team. Stay current with advancements in Machine Learning, Deep Learning, Generative AI, and data science technologies. Support continuous improvement initiatives by evaluating emerging AI frameworks, tools, and best practices.
Required Qualifications Overall 10+ years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or related technical fields. Strong experience in Machine Learning (ML) and Deep Learning (DL). Hands-on experience with Generative AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Experience developing enterprise AI and machine learning solutions. Strong proficiency in Python or R. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of statistical analysis, predictive modeling, and data modeling techniques. Experience working with SQL and querying large datasets. Familiarity with big data technologies such as Hadoop, Spark, or similar platforms. Experience working within AWS cloud environments. Experience working with Snowflake or similar enterprise data platforms. Strong analytical, problem-solving, and critical-thinking skills. Excellent communication, collaboration, stakeholder management, and client-facing skills. Ability to work effectively with cross-functional teams in an enterprise environment.
Preferred Qualifications Exposure to Agentic AI and Agent APIs. Experience with Claude, Anthropic, or similar Generative AI development platforms. Domain experience within the Oil & Gas or Energy industry. Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience working with enterprise software products. Understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Email ID *
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Cell phone *
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First Name *
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Last Name *
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Upload Resume
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$(document).ready(function () { var JobId = '5835224'; if (JobId == '') { $(".jobdetail").hide(); $("#headertext").html('Upload Resume'); } else { $("#headertext").html('Submit Resume'); } });
function fillEmailId() { if ($.trim($("#txtEmailIdtoSearch").val()) == "") { showvalidation($("#txtEmailIdtoSearch")); $(".loaderSection").hide(); return false; } else { var Reg = new RegExp("^[_A-Za-z0-9-]+(\.[_A-Za-z0-9-]+)@[A-Za-z0-9]+(\.[A-Za-z0-9]+)(\.[A-Za-z]{2,})$"); var matches = $.trim($("#txtEmailIdtoSearch").val()).match(Reg); if (!matches) { hidevalidation($("#txtEmailIdtoSearch")); showRegExpvalidation($("#txtEmailIdtoSearch")); return false; } else { hideRegExpvalidation($("#txtEmailIdtoSearch")); hidevalidation($("#txtEmailIdtoSearch")); } } } function fillFirstName() { if ($.trim($("#txtFirstName").val()) == "") { showvalidation($("#txtFirstName")); $(".loaderSection").hide(); return false; } else { var Reg = new RegExp("^[a-zA-Z][0-9a-zA-Z .,'-]$"); if (!Reg.test($.trim($("#txtFirstName").val()))) { hidevalidation($("#txtFirstName")); showRegExpvalidation($("#txtFirstName")); return false; } else { hideRegExpvalidation($("#txtFirstName")); hidevalidation($("#txtFirstName")); } } } function fillLastName() { if ($.trim($("#txtLastName").val()) == "") { showvalidation($("#txtLastName")); $(".loaderSection").hide(); return false; } else { var Reg = new RegExp("^[a-zA-Z][0-9a-zA-Z .,'-]$"); if (!Reg.test($.trim($("#txtLastName").val()))) { hidevalidation($("#txtLastName")); showRegExpvalidation($("#txtLastName")); return false; } else { hideRegExpvalidation($("#txtLastName")); hidevalidation($("#txtLastName")); } } } function fillCandidateComments() { if ($.trim($("#txtCandidateComments").val()) == "") { showvalidation($("#txtCandidateComments")); $(".loaderSection").hide(); return false; } else { hidevalidation($("#txtCandidateComments")); } } function fillPhone() { if ($.trim($("#txtPhone").val()) == "") { showvalidation($("#txtPhone")); $(".loaderSection").hide(); return false; } else { var Reg = /(?\d{3})?-? *\d{3}-? *-?\d{4}/g; var matches = $.trim($("#txtPhone").val()).match(Reg); if (!matches) { hidevalidation($("#txtPhone")); showRegExpvalidation($("#txtPhone")); return false; } else { hideRegExpvalidation($("#txtPhone")); hidevalidation($("#txtPhone")); } } } function fillResumeTitle() { if ($.trim($("#txtDefDocTitle").val()) == "") { showvalidation($("#txtDefDocTitle")); $(".loaderSection").hide(); return false; } else { hidevalidation($("#txtDefDocTitle")); } } function showRegExpvalidation(ctrl) { $(ctrl).parent().addClass("has-error"); $(ctrl).parent().find("span.freg").show(); $(".loaderSection").hide(); } function hideRegExpvalidation(ctrl) { $(ctrl).parent().removeClass("has-error"); $(ctrl).parent().find("span.freg").hide(); $(".loaderSection").hide(); } function showvalidation(ctrl) { $(ctrl).parent().addClass("has-error"); $(ctrl).parent().find("span.freq").show(); $(".loaderSection").hide(); } function hidevalidation(ctrl) { $(ctrl).parent().removeClass("has-error"); $(ctrl).parent().find("span.freq").hide(); $(".loaderSection").hide(); } function ValidateData() { var isProceedToSave = true; $(".loaderSection").show();
if ($.trim($("#txtEmailIdtoSearch").val()) == "") { showvalidation($("#txtEmailIdtoSearch")); isProceedToSave = false; } if ($.trim($("#txtFirstName").val()) == "") { showvalidation($("#txtFirstName")); isProceedToSave = false; } else { var Reg = new RegExp("^[a-zA-Z][0-9a-zA-Z .,'-]$"); if (!Reg.test($.trim($("#txtFirstName").val()))) { hidevalidation($("#txtFirstName")); showRegExpvalidation($("#txtFirstName")); isProceedToSave = false; } } if ($.trim($("#txtLastName").val()) == "") { showvalidation($("#txtLastName")); isProceedToSave = false; } else { var Reg = new RegExp("^[a-zA-Z][0-9a-zA-Z .,'-]$"); if (!Reg.test($.trim($("#txtLastName").val()))) { hidevalidation($("#txtLastName")); showRegExpvalidation($("#txtLastName")); isProceedToSave = false; } } if ($.trim($("#txtPhone").val()) == "") { showvalidation($("#txtPhone")); isProceedToSave = false; } if (isProceedToSave) { var fileUpload = $("#FileUpload2").get(0); var files = fileUpload.files; if (files.length == 0) { ShowErrorNotification("Please attach a resume."); $(".loaderSection").hide(); isProceedToSave = false; } return isProceedToSave; } else { ShowErrorNotification("Whoops! Looks like you've missed entering some data. Please enter data in the highlighted fields."); $(".loaderSection").hide(); window.scrollTo(10, 10); return isProceedToSave; } }
function SubmitResume() { if (ValidateData()) { var FileName = ''; var JobId = '0';
if ('5835224' != '') JobId = '5835224';
var txtemailid = $("#txtEmailIdtoSearch").val(); $.ajax({ url: '/Support/GetCandidateDetailByEmailId', type: "GET", dataType: "JSON", data: { CandidateEmail: txtemailid, JobId: JobId }, success: function (data) { if (data == "exists") { $(".loaderSection").hide(); ShowErrorNotification("You are already submitted to this position."); return false; } else //If email does not exist { if (data.Resume_Id != undefined && data.Resume_Id != null && parseInt(data.Resume_Id) > 0) { SubmitDocument(data.Resume_Id, 0, 1); } else { UploadDocUsingAPI(); } } } }); } else $(".loaderSection").hide(); } function UploadDocUsingAPI() { var fileUpload = $("#FileUpload2").get(0); var files = fileUpload.files; if (files.length == 0) { ShowErrorNotification("Please attach a resume."); $(".loaderSection").hide(); return false; }
if (files.length > 0) { if (window.FormData !== undefined) { var data = new FormData(); for (var i = 0; i 0) { SubmitDocument(data.candidateId, 1, 0); // $(".loaderSection").hide(); } else { ShowErrorNotification(data.EventStatusStatus); $(".loaderSection").hide(); } //callback(data.UploadedFileName); }, error: function (err) { ShowErrorNotification(err.statusText); $(".loaderSection").hide(); window.scrollTo(10, 10); return false; } }); } else { alert("This browser doesn't support HTML5 file uploads!"); } } } async function SubmitDocument(Resume_Id, Datafrom, IsExist) { var FileName = ''; var JobId = '0'; var RecId = '0'; var Source = '4414'; var EntityGroup = '2321'; var SubSource = '13304';
if ('5835224' != '') JobId = '5835224';
if ('0' != '') RecId = '0';
if (Datafrom == 0) { // Wait for the document upload to complete FileName = await UploadCandidateDoc(); if (!FileName) { ShowErrorNotification("Whoops! Looks like some issues in uploading resume. Please try again."); return; // Exit if upload failed } } var ResumeDetails = $.param({ Email_Id: $("#txtEmailIdtoSearch").val(), FirstName: $("#txtFirstName").val(), LastName: $("#txtLastName").val(), Phone: $("#txtPhone").val(), CandidateComments: $("#txtCandidateComments").val(), JobId: JobId, UploadedFileName: FileName, ResumeId: Resume_Id, Datafrom: Datafrom, RecId: RecId, IsExist: IsExist, Source: Source, EntityGroup: EntityGroup, ResumeFromJobPortal: 1, UploadedDocName: $.trim($("#txtDefDocTitle").val()), SubSource: SubSource }); $.ajax({ url: '/Support/UploadResumeForJobPortal', type: "POST", dataType: "JSON", data: ResumeDetails, success: function (data) { if (data.headerCode == "20001") { ShowSaveNotification(data.EventStatusStatus); $(".loaderSection").hide(); window.scrollTo(10, 10); } else if (data.headerCode == "10001") { ShowErrorNotification(data.data.errorDetail); $(".loaderSection").hide(); window.scrollTo(10, 10); } else if (data.headerCode == "20003") { ShowErrorNotification(data.EventStatusStatus); $(".loaderSection").hide(); window.scrollTo(10, 10); } else { ShowErrorNotification(data.PortalJob_Status); $(".loaderSection").hide(); window.scrollTo(10, 10); } } }); }
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await createPromise.then((promisedata) => { base64String = promisedata; });
return base64String; }
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function getFileName(filename) { if (!filename || !filename.includes('.')) { return filename; } return filename.split('.').slice(0, -1).join('.'); }
//Upload Document - Returns Promise async function UploadCandidateDoc() { var fileUpload = $("#FileUpload2").get(0); var files = fileUpload.files;
if (files.length == 0) { ShowErrorNotification("Please attach a resume."); $(".loaderSection").hide(); return null; }
if (files.length > 0) { if (window.FormData !== undefined) { var strFileNameWithoutExt = getFileName(files[0].name); var strFileExt = getFileExtension(files[0].name); var strNewFileName = strFileNameWithoutExt.replace("//", "").replace("+", "").replace("*", "").replace(" ", "").replace(":", "").replace(".", "") + "_" + "7" + "24" + "2026" + "17" + "18" + "33" + "." + strFileExt;
var fileBase64String; if (files[0]) { fileBase64String = await fileToBase64(files[0]); } var data = JSON.stringify({ docType: 9001, fileName: strNewFileName, encodedData: fileBase64String.split(',')[1], pjEmployeeId: null, placementTrackerId: null, employeeDetailsId: null });
var encodedData = btoa(data);
// Return a Promise instead of using callback return new Promise((resolve, reject) => { $.ajax({ type: "POST", url: 'https://stafflineapi.compunnel.com/' + "document/upload", contentType: "application/json; charset=utf-8", data: JSON.stringify({ data: encodedData }), timeout: 30000, json: true, headers: { "Authorization": 'qwerty~!@', }, success: function (result) { resolve(strNewFileName); }, error: function (err) { ShowErrorNotification(err.statusText); $(".loaderSection").hide(); window.scrollTo(10, 10); reject(null); } }); }); } else { alert("This browser doesn't support HTML5 file uploads!"); return null; } } return null; } $(function () { if ($('.formSection').offset() != undefined) { var stickyHeaderTop = $('.formSection').offset().top; $(window).scroll(function () { if ($(window).scrollTop() > stickyHeaderTop - 100) { $('.fixedBTN').addClass('btnFixed').css({ position: 'fixed', top: '65px', margin: '0px' });
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function ShowErrorNotification(strText) { $('.cross').find('p').html(strText); $('.cross').css({ 'opacity': '0', top: "50px" }).show(); $('.cross').stop().animate({ 'opacity': '1', top: "-=50px" }, 1000, function () { $(this).delay(3000).fadeOut(900); }); //$('.cross').show(); }
function ShowWarningNotification(strText) { $('.warning').find('p').html(strText); $('.warning').css({ 'opacity': '0', top: "50px" }).show(); $('.warning').stop().animate({ 'opacity': '1', top: "-=50px" }, 000, function () { $(this).delay(4000).fadeOut(900); }); }
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