ML Engineer Senior [AI Team]

<div id="rec855990004" class="r t-rec" data-animationappear="off" data-record-type="396"> <div class="t396"> <div class="t396__artboard rendered" data-artboard-recid="855990004" data-artboard-screens="320,480,640,960,1200" data-artboard-height="246" data-artboard-valign="center" data-artboard-upscale="grid" data-artboard-height-res-320="363" data-artboard-height-res-480="356" data-artboard-height-res-640="241" data-artboard-height-res-960="246" data-artboard-proxy-min-offset-top="0" data-artboard-proxy-min-height="246" data-artboard-proxy-max-height="246"> <div class="t396__elem tn-elem tn-elem__8559900041712751011017" data-elem-id="1712751011017" data-elem-type="text" data-field-top-value="76" data-field-left-value="271" data-field-height-value="130" data-field-width-value="636" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="73" data-field-left-res-320-value="10" data-field-width-res-320-value="306" data-field-top-res-480-value="72" data-field-left-res-480-value="80" data-field-width-res-480-value="319" data-field-top-res-640-value="56" data-field-left-res-640-value="66" data-field-width-res-640-value="501" data-field-top-res-960-value="76" data-field-left-res-960-value="152" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <div id="rec855990004" class="r t-rec" data-animationappear="off" data-record-type="396"></div> <div id="rec855990004" class="r t-rec" data-animationappear="off" data-record-type="396"> <div class="t396"> <div class="t396__artboard rendered" data-artboard-recid="855990004" data-artboard-screens="320,480,640,960,1200" data-artboard-height="246" data-artboard-valign="center" data-artboard-upscale="grid" data-artboard-height-res-320="363" data-artboard-height-res-480="356" data-artboard-height-res-640="241" data-artboard-height-res-960="246" data-artboard-proxy-min-offset-top="0" data-artboard-proxy-min-height="246" data-artboard-proxy-max-height="246"> <div class="t396__elem tn-elem tn-elem__8559900041713519411346" data-elem-id="1713519411346" data-elem-type="text" data-field-top-value="40" data-field-left-value="271" data-field-height-value="20" data-field-width-value="656" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="40" data-field-left-res-320-value="10" data-field-width-res-320-value="261" data-field-top-res-480-value="40" data-field-left-res-480-value="81" data-field-width-res-480-value="318" data-field-top-res-640-value="29" data-field-left-res-640-value="60" data-field-width-res-640-value="307" data-field-top-res-960-value="40" data-field-left-res-960-value="152" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"><strong><br></strong><br>We are looking for<strong> ML Engineer</strong> for <strong>AI Team </strong>— a team that builds the shared AI foundation for Plata, helping product and business teams launch AI solutions faster. We create reusable platforms and tools used across customer care, operations, compliance, telesales, and more.<br>We work with AWS, Go, Python, and cloud models, combining off-the-shelf solutions with custom infrastructure — including copilots, agents, RAG, voice/OCR services, AI gateway, and ML pipelines.<br><br><strong>Challenges that await you:</strong></div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="rec855990006" class="r t-rec" data-animationappear="off" data-record-type="396"> <div class="t396"> <div class="t396__artboard rendered" data-artboard-recid="855990006" data-artboard-screens="320,480,640,960,1200" data-artboard-height="1530" data-artboard-valign="center" data-artboard-upscale="grid" data-artboard-height-res-320="2530" data-artboard-height-res-480="2399" data-artboard-height-res-640="1830" data-artboard-height-res-960="1540" data-artboard-proxy-min-offset-top="0" data-artboard-proxy-min-height="1530" data-artboard-proxy-max-height="1530"> <div class="t396__elem tn-elem tn-elem__8559900061701086828264" data-elem-id="1701086828264" data-elem-type="text" data-field-top-value="404" data-field-left-value="271" data-field-height-value="442" data-field-width-value="634" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="621" data-field-left-res-320-value="10" data-field-width-res-320-value="308" data-field-container-res-320-value="grid" data-field-top-res-480-value="622" data-field-left-res-480-value="80" data-field-height-res-480-value="806" data-field-width-res-480-value="333" data-field-container-res-480-value="grid" data-field-top-res-640-value="481" data-field-left-res-640-value="65" data-field-width-res-640-value="487" data-field-top-res-960-value="406" data-field-left-res-960-value="150" data-field-width-res-960-value="582" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <div id="rec855990006" class="r t-rec" data-animationappear="off" data-record-type="396"> <div class="t396"> <div class="t396__artboard rendered" data-artboard-recid="855990006" data-artboard-screens="320,480,640,960,1200" data-artboard-height="1530" data-artboard-valign="center" data-artboard-upscale="grid" data-artboard-height-res-320="2530" data-artboard-height-res-480="2399" data-artboard-height-res-640="1830" data-artboard-height-res-960="1540" data-artboard-proxy-min-offset-top="0" data-artboard-proxy-min-height="1530" data-artboard-proxy-max-height="1530"> <div class="t396__elem tn-elem tn-elem__8559900061727362248427" data-elem-id="1727362248427" data-elem-type="text" data-field-top-value="914" data-field-left-value="271" data-field-height-value="78" data-field-width-value="598" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="1534" data-field-left-res-320-value="10" data-field-width-res-320-value="303" data-field-container-res-320-value="grid" data-field-top-res-480-value="1484" data-field-left-res-480-value="80" data-field-width-res-480-value="321" data-field-top-res-640-value="1094" data-field-left-res-640-value="65" data-field-width-res-640-value="489" data-field-top-res-960-value="941" data-field-left-res-960-value="150" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li>Train, fine-tune, and adapt CV and vision-language models (detection, classification, VLMs) to document and image tasks</li> <li>Work with datasets end to end: define data requirements, prepare and structure data, support labeling workflows, and improve data quality</li> <li>Optimize models for production — accuracy, latency, cost, and robustness to real-world image quality (noise, skew, lighting, low-res scans and phone photos)</li> <li>Collaborate with engineers to bring trained or adapted models into real production use cases</li> </ul> <p><br><strong>What makes you a great fit:&nbsp;</strong></p> <ul> <li>Demonstrated experience in deep learning and transformers models</li> <li>Hands-on experience with OCR and document understanding (text detection and recognition, layout analysis, information extraction) using VLMs and classical CV models</li> <li>Hands-on experience training, fine-tuning, or adapting CV models for practical use cases</li> <li>Proficiency in frameworks like PyTorch, with CV tooling such as OpenCV / torchvision</li> <li>Understanding of how model quality depends on dataset design, labeling quality, and data preparation</li> <li>Ability to go deeper than standard training notebooks and make informed decisions during training and optimization</li> <li>Strong foundation in data structures, algorithms, and software engineering principles</li> <li>Familiarity with LLM training and fine-tuning methods, such as distillation, supervised fine-tuning, and policy optimization</li> <li>Experience with content understanding or abuse/fraud prevention is a plus</li> <li>B1 or higher English level for effective communication with an international team</li> </ul> </div> </div> </div> </div> </div> </div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713485" data-elem-id="1715530713485" data-elem-type="text" data-field-top-value="1024" data-field-left-value="271" data-field-height-value="20" data-field-width-value="656" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="1715" data-field-left-res-320-value="12" data-field-width-res-320-value="195" data-field-container-res-320-value="grid" data-field-top-res-480-value="1638" data-field-left-res-480-value="80" data-field-width-res-480-value="318" data-field-top-res-640-value="1204" data-field-left-res-640-value="65" data-field-width-res-640-value="307" data-field-top-res-960-value="1051" data-field-left-res-960-value="153" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"><strong><br>Our ways of working:</strong></div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713504" data-elem-id="1715530713504" data-elem-type="text" data-field-top-value="1060" data-field-left-value="271" data-field-height-value="182" data-field-width-value="598" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="1747" data-field-left-res-320-value="10" data-field-width-res-320-value="303" data-field-container-res-320-value="grid" data-field-top-res-480-value="1670" data-field-left-res-480-value="80" data-field-height-res-480-value="338" data-field-width-res-480-value="321" data-field-container-res-480-value="grid" data-field-top-res-640-value="1239" data-field-left-res-640-value="65" data-field-width-res-640-value="489" data-field-top-res-960-value="1087" data-field-left-res-960-value="150" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li><strong>Innovative Spirit:&nbsp;</strong>A commitment to creativity and groundbreaking solutions</li> <li><strong>Honest Feedback:</strong>&nbsp;valuing open, transparent communication</li> <li><strong>Supportive Team:&nbsp;</strong>a strong, collaborative community</li> <li><strong>Celebrating Achievements:&nbsp;</strong>recognizing our wins together</li> <li><strong>High-Tech Environment:</strong>&nbsp;a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances</li> </ul> </div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713509" data-elem-id="1715530713509" data-elem-type="text" data-field-top-value="1274" data-field-left-value="271" data-field-height-value="20" data-field-width-value="656" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="2110" data-field-left-res-320-value="11" data-field-width-res-320-value="210" data-field-container-res-320-value="grid" data-field-top-res-480-value="2032" data-field-left-res-480-value="80" data-field-width-res-480-value="318" data-field-top-res-640-value="1530" data-field-left-res-640-value="69" data-field-width-res-640-value="307" data-field-top-res-960-value="1300" data-field-left-res-960-value="154" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"><strong><br>Our benefits:</strong></div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713512" data-elem-id="1715530713512" data-elem-type="text" data-field-top-value="1310" data-field-left-value="271" data-field-height-value="208" data-field-width-value="634" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="2142" data-field-left-res-320-value="10" data-field-width-res-320-value="308" data-field-container-res-320-value="grid" data-field-top-res-480-value="2064" data-field-left-res-480-value="80" data-field-height-res-480-value="338" data-field-width-res-480-value="333" data-field-container-res-480-value="grid" data-field-top-res-640-value="1565" data-field-left-res-640-value="65" data-field-width-res-640-value="487" data-field-top-res-960-value="1336" data-field-left-res-960-value="150" data-field-width-res-960-value="582" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li data-list="bullet"><strong data-stringify-type="bold">Relocation support</strong> to one of our hubs — Cyprus, Serbia, Georgia or Kazakhstan — with assistance for the employee and their family</li> <li><strong>Flexible work </strong>from one of our offices or remotely within time zones from GMT-2 to GMT+5</li> <li><strong>Healthcare</strong> <strong>Coverage</strong></li> <li data-list="bullet"><strong>Education Budget:</strong>&nbsp;Language lessons, professional training and certifications</li> <li data-list="bullet"><strong>Wellness Budget:</strong>&nbsp;Mental health and fitness activity reimbursements</li> <li data-list="bullet"><strong>Vacation policy:</strong>&nbsp;20 days of annual leave and paid sick leave</li> </ul> <div id="rec984594891" class="r t-rec" data-animationappear="off" data-record-type="396"></div> </div> </div> </div> </div> </div>