engineering scientist

University of Texas at Austin

<div><p><b>Job Posting Title:</b></p>
Research Engineering/ Scientist Associate I (4216)<p><b>
-</b></p><p><b>
Hiring Department:</b></p>
Marine Science Institute<p><b>
-</b></p><p><b>
Position Open To:</b></p>
All Applicants<p><b>
-</b></p><p><b>
Weekly Scheduled Hours:</b></p>
40<p><b>
-</b></p><p><b>
FLSA Status:</b></p>
Exempt<p><b>
-</b></p><p><b>
Earliest Start Date:</b></p>
May 20, 2026<p><b>
-</b></p><p><b>
Position Duration:</b></p>
Expected to Continue Until May 31, 2027<p><b>
-</b></p><p><b>
Location:</b></p>
MARINE SCIENCE INSTITUTE<p><b>
-</b></p><p><b>
Job Details:</b></p><h2 class="jobSectionHeader"><b>
General Notes</b></h2><p>
The Mission-Aransas National Estuarine Research Reserve (MAR) at the University of Texas Marine Science Institute (UTMSI) seeks to hire a Research Engineering / Scientist Associate I with the Research &amp; Monitoring Program. The MAR is one of 30 reserves that make up the National Estuarine Research Reserve System, dedicated to research, monitoring, education and stewardship of estuaries and their coastal watersheds.</p><p></p><p>
POSITION IS LOCATED AT THE UT MARINE SCIENCE INSTITUTE IN PORT ARANSAS, TEXAS.</p><p></p><p>
This is a full-time, grant-funded, 12-month position. This position is subject to annual renewal, contingent on satisfactory performance and budget funding.</p><p></p><h2 class="jobSectionHeader"><b>
Purpose</b></h2><p>
The Research Engineering / Scientist Associate I will work closely with the research staff to maintain and implement the various aspects of our environmental long-term monitoring program.</p><p></p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>Troubleshoot, clean, calibrate, deploy and retrieve scientific equipment (i.e., YSI sensors/sondes/handheld meters); service water quality and weather station equipment on a weekly, bi-weekly and/or monthly basis according to standardized protocols; maintain and repair SWMP station infrastructure and in situ instrumentation as required; coordinate and perform research activities related to sample collection (e.g., scheduling, water collection, deployment/retrieval of automated portable water sampler); operate vessels in shallow water conditions along the Texas Coastal Bend, including trailering vessels</li><li>Laboratory preparation and analysis of field samples (e.g., prepare sampling containers/filters, water filtration, weigh filters, chlorophyll analysis)</li><li>Retrieve and submit SWMP raw data; conduct QA/QC data checks and generate quarterly/annual metadata files for submission to the NERRS CDMO; ensure all data (water quality, meteorological, nutrient) are entered by the submission deadline</li><li>Maintain an organized and clean working environment (e.g., wash dishes, stow equipment/supplies); manage equipment inventory and order equipment and supplies</li><li>Training and supervision of interns, students and volunteers in support of the SWMP and other MAR programs as needed</li><li>Assist in program activities of the MAR across all sectors</li><li>Other duties as assigned</li><li>Attendance at an annual, week-long training for NERR SWMP technicians (out of state, fully funded)</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li>Strong troubleshooting, diagnostic, technical, mechanical, and communication skills</li><li>Ability to work in extreme weather conditions and perform basic fieldwork requiring lifting, pushing and pulling of heavy objects</li><li>Ability and flexibility to work long and/or irregular hours</li><li>Ability and comfortability to work in both a field and laboratory setting</li><li>Ability and comfortability to swim</li><li>Self-directed and solution-oriented mindset</li><li>Strong organizational and time management skills</li><li>Ability to work independently and cooperatively with others</li><li>Ability to conduct basic internet/literature searches</li><li>Ability to travel within the state and region for work on a regular basis</li><li>Ability to travel to a week-long annual training, out-of-state</li><li>Computer proficiency (Microsoft 365 Suite) and knowledge of basic data management</li><li>High school diploma or equivalent. Candidates with alternative qualifications or who have taken a less traditional career path may be considered if an aptitude for success and a strong willingness to learn is clearly apparent.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li>Mechanically adept with at least on year of hands-on experience in a technical maintenance role (marine, mechanical, electrical or related field)</li><li>Ability to read technical manuals, schematics, and wiring diagrams</li><li>Experience trailering, serving as crew, operating and captaining vessels (up to 24 ft) in shallow water conditions</li><li>Ability to use hand and power tools</li><li>Knowledge of water quality sampling and analysis procedures</li><li>Knowledge of coastal and estuarine ecosystems and processes</li></ul><p></p><h2 class="jobSectionHeader"><b>
Driving Required</b></h2><p>
This job requires a class &quot;C&quot; operator's driver's license. The applicant selected must provide a current three-year driving record from the current state of residence. If not currently a Texas resident, a Texas driver's license must be obtained within 30 days of becoming a Texas resident. Employees who are required to have a CDL are subject to drug and alcohol testing (pre-employment, post-accident, reasonable suspicion, random, return-to-duty, and follow-up drug and alcohol testing).</p><p></p><h2 class="jobSectionHeader"><b>
Salary Range</b></h2><p>
$43,000 + depending on education and experience</p><p></p><h2 class="jobSectionHeader"><b>
Working Conditions</b></h2><p>
A substantial portion of the work will occur outside, often under adverse weather conditions, including extremes of heat, cold, wind and rain. May work around chemicals and biohazards, as well as mechanical and electrical hazards. Candidates should be able to lift and manipulate up to 50 pounds (alone or as a team) as part of regular work activities. Candidates must be comfortable backpacking gear up a ladder to a secondary platform (approximately 15&rsquo; above the water surface) to service instruments. Weekend, evening and holiday work may be necessary.</p><p></p><h2 class="jobSectionHeader"><b>
Work Shift</b></h2><p>
M-F, 8am &ndash; 5pm with the occasional abnormal hours due to fieldwork</p><p></p><h2 class="jobSectionHeader"><b>
Required Materials</b></h2><ul><li>Resume</li><li>3 work references with their contact information; at least one reference should be from a supervisor</li><li>Letter of interest</li></ul><p><b>
Important for applicants who are NOT current university employees or contingent workers: </b>You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional</p><p>
Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.</p><p><b>
Important for Current university employees and contingent workers: </b>As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.</p><p>
-</p><p><b>
Employment Eligibility:</b></p>
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.<p>
-</p><p><b>
Retirement Plan Eligibility:</b></p>
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.<p>
-</p><p><b>
Background Checks:</b></p><p>
A criminal history background check will be required for finalist(s) under consideration for this position.</p><p>
-</p><p><b>
Equal Opportunity Employer:</b></p><p>
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.</p><p>
-</p><p><b>
Pay Transparency:</b></p><p>
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information.</p><p>
-</p><p><b>
Employment Eligibility Verification:</b></p><p>
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.</p><p><b>
-</b></p><p><b>
E-Verify:</b></p><p>
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university&rsquo;s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:</p><ul><li>
E-Verify Poster (English and Spanish) [PDF]</li><li>
Right to Work Poster (English) [PDF]</li><li>
Right to Work Poster (Spanish) [PDF]</li></ul><p><b>
-</b></p><p><b>
Compliance:</b></p><p>
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.</p><p></p><p>
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.</p></div>

Research Engineering/ Scientist Associate I (4216)

Impetus Technologies

<p></p><div><div><div><div><div><div><div><p>United States</p></div></div></div><div><div><div><br>
</div></div></div></div></div></div><div><div><div><div><div><div><div><div><p>
Qualification</p><div>
:</div></div><div><div><p>
Requires a Master's Degree in Data Scientist and 1 year of experience. Experience as a Software Engineer is acceptable, or any suitable combination of education, training or experience thereof.<br>
</p></div></div></div></div></div><div><div><div><div><p>Skills Required</p><div>
:</div></div><div><p>
Cloud &amp; Big Data, AI, ML</p></div></div></div></div><div><div><div><div><p>
Role</p><div>
:</div></div><div><div><p>
Position is for a Data Scientist (internal title: Research Scientist) responsible for designing, building, and implementing enterprise-level data warehouses and data lakes for corporate clients. Duties include, but are not limited to: Build and maintain data warehouses, data lakes, and modern analytics platforms to support high-volume data processing and reporting; data science techniques, including predictive modeling, clustering, and regression, to extract insights and support informed decision-making; Leverage advanced AI/ML approaches including deep learning, NLP, unsupervised learning, and reinforcement learning to improve forecasting accuracy, automate processes, and generate business insights; Lead the design and development of scalable data pipelines and ETL workflows, ensuring data is accurate, accessible, and ready for analytics; Engage with clients to understand business challenges and translate them into practical, data-driven solutions; Implement generative AI and Retrieval-Augmented Generation (RAG) systems to enhance analytics applications and automate knowledge retrieval; Collaborate with business analysts, architects, and data scientists to deliver integrated solutions combining traditional data engineering with advanced AI capabilities; Ensure data quality, governance, and compliance by implementing validation frameworks and monitoring systems for large-scale data operations; Migrate legacy systems and mainframe workflows to scalable cloud or hybrid platforms to improve performance and support modernization initiatives; Develop interactive dashboards and reporting solutions to provide visibility into KPIs, operational metrics, and analytical outputs; Integrate big data processing frameworks to manage high-volume structured and unstructured datasets and improve analytical efficiency; Conduct performance optimization for data pipelines, ML workloads, and cloud systems to reduce latency and improve scalability; Implement CI/CD workflows for data engineering and machine learning components to ensure consistent deployment and version control; Document system architectures, data workflows, and AI model behavior to support knowledge transfer and regulatory compliance; and stay current with emerging technologies, including Agentic AI, cloud-native services, and next-generation ML frameworks, and evaluate their applicability to enterprise use cases.</p><br>
<p><br>
Jobsite: Position allows for hybrid employment (three days on-site and two days remote), but must be willing to travel to various unanticipated jobsites within the U.S. Frequency of travel is unanticipated.</p>
</div></div></div></div></div><div><div><div><div><p>
Experience</p><div>
:</div></div><div><p>
Up to 1 year</p></div></div></div></div><div><div><div><div><p>
Job Reference Number</p><div>
:</div></div><div><p>
13743</p></div></div></div></div></div></div></div></div></div><p></p>

Data Scientist

Brembo

<div><p>The Data Scientist is directly responsible for:
</p><p>1) Supporting all plant personnel that are tasked with improving operational performance (Operations, Quality, Maintenance, Engineering, CI and I.T. groups) by providing/enabling data analysis
</p><p>2) Assisting with Data projects for the BNA Cast Iron Foundries (CIF) (50%), other BNA sites (30%), and global CIF projects (20%).
</p><p>3) Training and educating plant personnel on data culture and the use of I4.0 tools and technology
</p><p>4) Supporting data analysts (Project management, mentoring, reviewing reports, etc&hellip;)
</p><div>In this role, the Data Scientist is directly responsible for the support functions of data analytics and report generation to all plant personnel that are tasked with improving operational performance (Ops, Quality, Maintenance, Engineering, CI and I.T. groups). This individual will work with the Data and Analytics Team and I.T. to create Spotfire and/or Power BI reports and dashboards that gather/digest data collected by the Factory Information System (F.I.S. &ndash; Thingworx), Enterprise resource planning program (ERP), and other Brembo Manufacturing Apps. These tools and dashboards will be delivered/communicated to the aforementioned teams to guide the improvement process cycle in a succinct fashion.<br>
 </div><div></div><div>In addition, this role shall serve as a resource to help with data projects across other BNA sites, and the Brembo global CIF system as required at the percentages described above. They will help develop and deploy standardized dashboards, reports, and applications that in turn improve operational performance. In summary, a high aptitude individual who understands data and reporting software (Python/R/Spotfire/Power BI/ Power Apps/etc...), and can communicate their findings to other stakeholders at the site. The Data Scientist will develop, customize, test and implement new reports and dashboards as the needs arise.</div></div>

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Apr 08, 2026
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 08, 2026 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Development of an AI-driven analytics framework for real-time monitoring. The role focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop computer vision and deep learning algorithms for image-based detection.</li>
<li>Implement data fusion and image analysis pipelines for scientific/engineering applications.</li>
<li>Build scalable and real-time inference workflows.</li>
<li>Collaborate with multidisciplinary teams (materials, devices, and systems).</li>
<li>Contribute to publications, reports, and student supervision.</li></ul><br>
<p></p>
<p><b>
Position Details</b></p>
<ul>
<li>Postdoctoral Researcher or Research Scientist (depending on experience)</li>
<li>Competitive salary and research environment</li>
<li>Based at KAUST with interdisciplinary collaboration</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li>
<li>Strong expertise in:</li>
<ul><li>Computer vision and image processing</li>
<li>Deep learning (e.g., PyTorch, TensorFlow)</li>
<li>Data-driven modeling and analysis</li>
</ul><li>Proficiency in Python and standard ML libraries.</li>
<li>Demonstrated ability to develop practical, deployable models.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience with scientific imaging or multimodal data.</li>
<li>Background in real-time systems, embedded/edge AI, or sensor data analysis.</li>
<li>Familiarity with defect detection or monitoring systems.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging)

AtkinsRéalis

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
We are seeking motivated Graduate Engineers <b>(Emirati National Only)</b> who are early‑career professionals to join our Infrastructure Power team in an office‑based design review and research-focused role. This position supports technical review, documentation, coordination, and analytical tasks within multidisciplinary engineering projects. This opportunity is open to a broad range of early‑career profiles, creating inclusive pathways for learning, re‑entry to the workforce, and career progression.
</p><h2 class="jobSectionHeader"><b>Your role</b></h2><p><b>
Technical &amp; Design Review Support</b></p><ul><li>
Assist with reviewing engineering designs, drawings, calculations, and reports.</li><li>
Support compliance checks against standards, specifications, and project requirements.</li><li>
Maintain design comment logs and assist with technical documentation.</li></ul><p><b>
Research &amp; Analysis</b></p><ul><li>
Conduct research on infrastructure power systems, engineering standards, and industry best practices.</li><li>
Prepare technical notes, benchmarking reports, and data summaries.</li><li>
Contribute to digital engineering and innovation initiatives.</li><li>
Project Coordination</li><li>
Support coordination across civil, electrical, mechanical, and digital engineering teams.</li><li>
Maintain project trackers, documentation, meeting notes, and status updates.</li><li>
Assist with preparing presentations and project deliverables.</li></ul><h2 class="jobSectionHeader"><b>
About you</b></h2><p><b>
Qualifications &amp; Eligibility
</b></p><ul><li>Candidates with 0&ndash;2 years of experience who meet <i>any</i> of the following backgrounds are encouraged to apply:</li><li>
Final‑year students pursuing a degree in Civil, Mechanical, or Electrical Engineering, seeking part‑time industry exposure.</li><li>
Fresh graduates who are currently pursuing a Master's degree and are looking for part‑time work aligned with their studies.</li><li>
Mothers returning to the workforce, seeking either part‑time or full‑time opportunities to restart their careers.</li><li>
Diploma holders in Civil, Mechanical, or Electrical disciplines who wish to gain office‑based engineering experience.</li></ul><p><b>
Key Skills</b></p><ul><li>
Strong analytical and research skills.</li><li>
Good written and verbal communication abilities.</li><li>
Detail‑oriented with good organizational skills.</li><li>
Proactive mindset and eagerness to learn.</li><li>
Ability to work collaboratively in a team environment.</li></ul><h2 class="jobSectionHeader"><b>
Rewards &amp; benefits</b></h2><p>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.</p><p>
This includes:</p><ul><li>
Tax-free salary.</li><li>
Life insurance coverage.</li><li>
Medical insurance.</li><li>
Annual leave balance.</li><li>
Company gratuity scheme.</li><li>
Discretionary bonus program.</li><li>
Annual flight contribution.</li><li>
Transportation &amp; housing allowances.</li><li>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><h2 class="jobSectionHeader"><b>
About AtkinsR&eacute;alis</b></h2><p>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p></div><p></p>

Graduate Engineer

Jex Recruitment | Connecting top talent with leading companies

<div>
 <p>
  <strong>
   Senior Data Scientist &ndash; Dubai (FinTech)
  </strong>
 </p>
 <p>
  We&rsquo;re working with a high-growth fintech in Dubai that&rsquo;s building out a genuinely strong data science function.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They&rsquo;re looking for a
  <strong>
   Senior Data Scientist
  </strong>
  with a solid grounding in
  <strong>
   traditional machine learning
  </strong>
  and a
  <strong>
   research-driven mindset
  </strong>
  to help push their models and products to the next level.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll be doing:
  </strong>
 </p>
 <p>
  &bull; Developing and deploying ML models across core business products
 </p>
 <p>
  &bull; Working closely with engineering and product teams on end-to-end solutions
 </p>
 <p>
  &bull; Applying rigorous experimentation and research approaches to improve performance
 </p>
 <p>
  &bull; Tackling real-world financial data problems at scale
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What they&rsquo;re looking for:
  </strong>
 </p>
 <p>
  &bull; 6+ years in Data Science / Machine Learning
 </p>
 <p>
  &bull; Strong experience with traditional ML (not purely LLM-focused)
 </p>
 <p>
  &bull; Background in research, experimentation, or advanced modelling
 </p>
 <p>
  &bull; Experience in fintech, banking, or other data-heavy environments is a plus
 </p>
 <p>
  &bull; Strong coding skills (Python, etc.)
 </p>
 <p>
 </p>
</div>


Senior Data Scientist

Charterhouse Middle East

<div>
 <p>
  <strong>
   Market Leading Salary, Plus Family Benefits/Perks, Plus Bonus
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Charterhouse is partnered with a global family office seeking to strengthen its Investment Technology Division. This division is responsible for developing analytical platforms, data-driven tools, and technology-enabled capabilities that support investment teams, operational functions, and enterprise wide strategic decision making. With a remit that spans across Data Science, Engineering, Quantitative Research, and Product Development, the division plays a pivotal role in evolving the organisation&rsquo;s digital and analytical landscape. This current opening is for a Senior AI Scientist who will be a key contributor to the organisation&rsquo;s data and product initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior AI Scientist will help lead data driven initiatives, guiding the design and execution of data workflows that meet strategic business objectives. The role focuses on providing technical leadership across data analysis, developing resilient pipelines for model training, tracking model performance, and managing data platforms. The role will have strong expertise in leveraging LLMs and applying prompt engineering techniques to elevate insights and improve model outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our client is looking for ideal candidate with the following qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s or Ph.D. in Data Science, Computer Science, Statistics, or a closely related discipline.
  </li>
  <li>
   Experience working with LLM technologies, including pre-training, supervised fine-tuning (SFT), reinforcement learning (RL), and agent-based frameworks.
  </li>
  <li>
   Solid understanding of natural language processing (NLP) methods and algorithms.
  </li>
  <li>
   Industry experience in sectors such as healthcare, finance, or e‑commerce is an advantage.
  </li>
  <li>
   Contributions to open‑source projects, academic research, or relevant publications that showcase technical expertise and thought leadership are highly regarded.
  </li>
  <li>
   Hands‑on experience fine‑tuning and deploying LLMs, with an emphasis on optimizing models for specific applications.
  </li>
  <li>
   Proficiency with AI development frameworks such as PyTorch, DeepSpeed, and Hugging Face Transformers.
  </li>
  <li>
   Strong capabilities in prompt engineering and enhancing LLM performance through algorithmic improvements.
  </li>
  <li>
   Proven problem‑solving skills, particularly in applying LLMs to real‑world use cases.
  </li>
  <li>
   Ability to excel in a collaborative, fast‑moving environment and deliver meaningful AI-driven outcomes.
  </li>
  <li>
   Excellent English communication skills are essential.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   *Please note this role offers relocation assistance for talented candidates based outside the region*
  </em>
 </p>
</div>


Senior AI Scientist

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