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data scientist – digital oilfield

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ml ops engineer – digital oilfield

senior production engineer – digital oilfield Jobs in Room Dining Assistant Server Jobs In Kuwait Jobs In Kuwait

senior production engineer – digital oilfield

senior production engineer – digital oilfield systems Jobs in Room Dining Assistant Server Jobs In Kuwait Jobs In Kuwait

senior production engineer – digital oilfield systems

data scientist digital oilfield

B&B Hotel Hannover-City

<p><b>Job Brief:</b></p><p><b>Do you have 10+ years</b> of proven, real-world experience transforming noisy, high-volume operational data into <b>actionable machine learning models</b>? Are you the bridge between raw data, deep statistical insights, and engineering decisions?</p><ul><li><b>If you are the Data Scientist</b> who can define, build, and evaluate ML models for <b>forecasting, anomaly detection, and classification</b> in a digital oilfield context...</li><li><b>If you are the driver</b> who can collaborate to set <b>quantifiable modeling tasks</b> and design compelling <b>data visualizations</b> that lead to operational improvements...</li></ul><p><b>Then we need your expertise</b> to create the intelligence layer that powers our client's digital systems.</p><p><b>Key Responsibilities:</b></p><ul><li>Build predictive and prescriptive models for drilling, reservoir, and production data.</li><li>Perform data mining, statistical analysis, and ML modeling for complex energy datasets.</li><li>Collaborate with engineers to design data-driven optimization frameworks.</li><li>Integrate AI models with SCADA, IoT, and real-time oilfield systems.</li><li>Develop visual analytics dashboards and automated data pipelines.</li><li>Apply deep learning techniques to sensor and time-series data.</li><li>Present technical findings to stakeholders for strategic decision-making.</li></ul><p><b>Required Qualification / Experience / Skills:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Petroleum Engineering, or related field.</li><li>10+ years of experience as a Data Scientist in oil &amp; gas, industrial, or energy domains.</li><li>Expertise in Python, R, SQL, and ML frameworks (TensorFlow, Scikit-learn, PyTorch).</li><li>Proficiency in handling structured/unstructured data and big data platforms (Spark, Hadoop).</li><li>Strong background in statistics, predictive modeling, and data visualization tools (Power BI, Tableau).</li><li>Understanding of production optimization, drilling analytics, and asset management.</li><li>Excellent communication and cross-functional teamwork skills.</li></ul><p><b>Job Location: Remote</b></p><p><b>Type of Employment: Permanent / Full time</b></p><p><b>Salary: Negotiable (based on experience)</b></p><p><b>What you can expect from the employer:</b></p><ul><li>Competitive salary package.</li><li>Work on digital transformation projects within the energy sector.</li><li>Remote flexibility and collaborative culture.</li><li>Opportunities to lead high-impact analytics initiatives.</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>Do you have 10 years of experience in data science and analytics?</li><li>Have you worked on digital oilfield or energy analytics projects?</li><li>Are you proficient in ML, statistical modeling, and big data tools?</li><li>Can you build and deploy predictive models for real-time industrial data?</li></ul>

Data Scientist – Digital Oilfield

<p>Job Brief:</p><p><b>Are you a Senior Production Engineer</b> with 10 years of experience driving <b>digital oilfield productivity</b>? Our client is seeking a seasoned expert to leverage advanced analytics and data-driven methods for <b>production optimization</b> and sustainable operations. This is a <b>remote opportunity</b> to combine your deep engineering expertise with cutting-edge digital technologies to enhance their oilfield performance..</p><p><b>Key Responsibilities:</b></p><ul><li>Oversee production engineering operations, focusing on efficiency and optimization through digital tools.</li><li>Collaborate with data science and automation teams to implement AI-driven production solutions.</li><li>Monitor field performance and develop predictive maintenance programs.</li><li>Analyze real-time well, reservoir, and equipment data to improve uptime and performance.</li><li>Implement production forecasting and flow assurance models.</li><li>Ensure operational excellence through process improvement and digital transformation.</li><li>Mentor junior engineers and contribute to cross-functional technology initiatives.</li></ul><p><b>Required Qualification / Experience / Skills:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Petroleum Engineering or related field.</li><li>Minimum 10 years of experience in oilfield production operations, preferably digital environments.</li><li>Proficiency in production engineering software and data platforms (Petrel, OFM, Avocet, etc.).</li><li>Familiarity with AI/ML integration in oilfield applications.</li><li>Strong analytical and problem-solving skills with data-driven mindset.</li><li>Excellent communication, leadership, and remote collaboration skills.</li></ul><p><b>Job Location: Remote</b></p><p><b>Type of Employment: Permanent / Full time</b></p><p><b>Salary: Negotiable (based on experience)</b></p><p>What you can expect from the employer:</p><ul><li>Competitive salary based on experience.</li><li>Work on cutting-edge digital oilfield initiatives.</li><li>Collaborative and innovative environment.</li><li>Remote flexibility and global exposure.</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>Do you have 10 years of experience in production engineering?</li><li>Have you worked in digital oilfield environments or automation projects?</li><li>Do you have experience using production optimization tools and analytics?</li><li>Are you open to working remotely in cross-functional digital teams?</li></ul>

Senior Production Engineer – Digital Oilfield

visuna

<div><div><div><div><div><div><div><div><div>Job Reference: 201351</div></div><div><p><b><br>
</b></p></div></div></div><div><div><div><div><b>Upstream
</b></div></div></div><p></p><div><p><b>Start Date: </b>16/11/2025</p><p><b>
Applications close on: </b>16/11/2025</p><p><b>
Contract Type: </b>Contract</p><p><b>
Country: </b>Kuwait</p><p><b>
Discipline: </b>Production</p><p><b>
Minimum Experience: </b>10 Years+</p><p><b>
Job Contact: </b>ldapplications@visuna.com</p>
</div></div></div></div></div></div><p></p><div><div><div><div><div><div><p><b>Job Description:</b></p>
<p>
We are seeking a Senior Production Engineer<br>
with deep domain expertise in oilfield operations and a passion for digital<br>
transformation. This role bridges the gap between field knowledge and data<br>
science/AI development teams, ensuring that intelligent systems reflect<br>
real-world production behaviors.</p>
<p>
The candidate will contribute technical<br>
insights to product design, validate ML model results, and help prioritize<br>
opportunities for automation and optimization within Digital Oilfield (DOF)<br>
platforms. Experience with DOF tools is required. While AI/ML exposure is<br>
appreciated, it is not mandatory.</p>
<p><b>
Key Responsibilities:</b></p>
<ul><li> Act as the subject</li></ul>
matter expert (SME) in production engineering for digital initiatives.
<ul><li> Translate operational</li></ul>
workflows into structured inputs for ML engineers and developers.
<ul><li> Evaluate model outputs</li></ul>
and ensure alignment with physical system behavior and field expectations.
<ul><li> Identify opportunities</li></ul>
for intelligent automation in surveillance, optimization, and diagnostics.
<ul><li> Serve as a liaison</li></ul>
between engineering teams and product/technology stakeholders.<br>
<p></p>
<p><b>
Required Skills and Experience:</b></p>
<ul><li> 10+ years of hands-on</li></ul>
production engineering experience, preferably in upstream operations.
<ul><li> Familiarity with DOF</li></ul>
platforms, digital twins, or data-driven production workflows
<ul><li> Strong understanding of</li></ul>
field surveillance, production optimization, artificial lift, and flow<br>
assurance.
<ul><li> Experience working with</li></ul>
or implementing digital systems in operational settings.
<ul><li> Ability to communicate</li></ul>
effectively across technical and non-technical teams.
<ul><li> Interest in digital</li></ul>
workflows, data analytics, and decision automation.
<p><b>
Nice to Have:</b>.</p>
<ul><li> Awareness of AI/ML</li></ul>
applications and their potential impact on upstream operations.
<ul><li> Comfortable reviewing</li></ul>
or testing the results of ML models in operational use cases.
<ul><li> Open to working in</li></ul>
agile or cross-functional teams alongside developers and data scientists.
<div></div>
<p></p><h3 class="jobSectionHeader"><b>Benefit of Working with Visuna?
</b></h3><p></p><ul><li>A dedicated member of the team responsible for your placements and welfare</li>
<li>Some of the best day rates in the industry</li>
<li>FREE worldwide insurance and Medevac cover whist on a Placement</li>
<li>24/7 access to our specialist support team</li>
<li>Assistance and advice on a range of business topics</li>
<p></p>
<li>FREE access to our Competency Scheme</li>
<li>Increased exposure to potential clients and more placement opportunities</li></ul></div></div></div></div></div></div></div><p></p>

Senior Production Engineer – Digital Oilfield Systems

<p><b>Job Brief:</b></p><p><b>Are you the ML Ops authority</b> responsible for turning proof-of-concept models into <b>robust, production-grade, highly available solutions</b>? Do you have a passion for CI/CD, pipeline automation, and model traceability?</p><ul><li><b>If you are the engineer</b> who can develop and maintain <b>end-to-end ML pipelines</b> (preprocessing, training, deployment, and monitoring) with high standards for reliability...</li><li><b>If you are the master</b> of tools like Kubernetes, cloud platforms (Azure/AWS), and modern ML Ops frameworks...</li></ul><p><b>Then secure your spot</b> in this critical role ensuring our client&rsquo;s ML solutions deliver continuous, reliable value.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and implement scalable ML pipelines for digital oilfield data processing and automation.</li><li>Develop and maintain CI/CD frameworks for model training, validation, and deployment.</li><li>Collaborate with data scientists and domain experts to ensure reliable, production-grade model operations.</li><li>Manage and monitor ML models using tools such as MLflow, Kubeflow, or Airflow.</li><li>Implement best practices for data versioning, containerization (Docker), and orchestration (Kubernetes).</li><li>Ensure compliance with data governance, security, and performance standards.</li><li>Drive automation and performance optimization across the entire ML lifecycle.</li></ul><p><b>Required Qualification / Experience / Skills:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.</li><li>Minimum 10 years of experience in ML Ops or data engineering, preferably within the oil &amp; gas sector.</li><li>Expertise in Python, Linux, Docker, and Kubernetes.</li><li>Strong understanding of CI/CD tools (GitLab CI, Jenkins) and cloud environments (AWS, Azure).</li><li>Proven experience deploying ML models in production for real-time analytics.</li><li>Familiarity with time-series data, IoT systems, and SCADA integration.</li><li>Excellent communication, documentation, and troubleshooting skills.</li></ul><p><b>Job Location: Remote</b></p><p><b>Type of Employment: Permanent / Full time</b></p><p><b>Salary: Negotiable (based on experience)</b></p><p><b>What you can expect from the employer:</b></p><ul><li>Competitive compensation based on experience.</li><li>Exposure to digital transformation projects in the energy industry.</li><li>Remote work flexibility and supportive work environment.</li><li>Continuous learning and career advancement opportunities.</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>Do you have experience in ML Ops frameworks and deployment pipelines?</li><li>Have you worked in digital oilfield or industrial automation environments?</li><li>Are you experienced with Docker, Kubernetes, and cloud-based ML systems?</li><li>Do you have 10 years of relevant experience in ML Ops or related fields?</li></ul>

ML Ops Engineer – Digital Oilfield

<p><b>Job Brief:</b></p><p>Are you a <b>Senior Backend Developer</b> with <b>7+ years</b> of robust experience specializing in <b>Java and high-performance SQL databases</b>? Are you meticulous about data integrity, security, and optimizing mission-critical backend services and data models? <b>This is a 100% remote opportunity.</b> If so, this is the opportunity with one of our client!</p><p><b>Key Responsibilities:</b></p><ul><li>Design, implement, and maintain the project's data model, ensuring integrity, performance, and security.</li><li>Develop, test, and maintain high-performance backend services and APIs using <b>Java</b>.</li><li>Manage, tune, and support database environments (e.g., SQL Server, PostgreSQL, Oracle).</li><li>Assist the development team with debugging, optimizing complex <b>SQL queries, and stored procedures</b>.</li><li>Champion database performance tuning, backup/recovery strategies, and data security standards.</li></ul><p><b>Required Qualifications/Experience/Skills:</b></p><ul><li><b>7+ years</b> of professional experience in Java development and database management.</li><li>Expert proficiency in <b>Java</b> and related enterprise frameworks.</li><li>Deep expertise in <b>SQL</b>, data modeling, query optimization, and database performance tuning.</li><li>Experience with relational database administration and security best practices.</li></ul><p><b>Job Location: Remote</b></p><p><b>Type of Employment: Permanent / Full time</b></p><p><b>Salary: Negotiable (based on experience)</b></p><p>What you can expect from the employer:</p><ul><li>Competitive salary based on experience.</li><li>Work on cutting-edge digital oilfield initiatives.</li><li>Collaborative and innovative environment.</li><li>Remote flexibility and global exposure.</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>Do you have 7 or more years of professional experience specifically in Java development and high-performance SQL database management?</li><li>Are you currently proficient with modern Java/J2EE and related enterprise frameworks for mission-critical backend development?</li><li>Do you possess expert-level skills in writing and optimizing complex SQL queries and designing data models for relational databases?</li></ul>

Senior Backend Developer (Java/SQL)

Tangerine - Human Capital Management

<div>
 <p>
  The applicants should have good experience in Field Development related Project Management and should have vivid experience in handling some of the following projects:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Reservoir Management
   </strong>
   : Detailed Reservoir surveillance such as Pressure, Production logging, water cut, GOR trends / Use of EOR &amp; IOR Projects to maximize oil production and recovery / Continuous Reservoir simulation &amp; model updating using real production data
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Production Optimization
   </strong>
   : Enhance production with minimal CAPEX / Well placement to maximize production / Maintain Reservoir pressure by planning Injectors and reduce water cut through selection of injection fluid types / Artificial lift optimization
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Real Time monitoring of wells
   </strong>
   : SCADA / Digital oilfield systems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Recover Bypass Oil
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Integrate with existing Infra structure
   </strong>
   : Re-use or upgrade existing facilities economically / Feasibility studies for new wells or flowlines
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Phased development &amp; Incremental Planning
   </strong>
   : Adaptive project planning linked to field performance
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Integration of Surface, Sub-surface, Production, Facilities &amp; HSE Teams / Optimize well surface coordinates having congestion of pipelines and wells by designing Pad wells, SIMOPS, In-fill drilling, etc.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Analyze causes of well integrity failure and solutions
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Cost efficient process and technology for OPEX reduction
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Handle Change &amp; Risk management
   </strong>
   : Handle uncertainties in performance, data and aging assets / continuous risk identification &amp; mitigation (Techno-commercial) / Contingency planning for shutdowns or failures
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Any other process / technology to enhance oil production and recovery factor in Brown field development
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  📧 To apply, email your CV to deepak@tangerine.org.in
 </p>
 <p>
  <br/>
 </p>
 <p>
  Position Applied should be clearly mentioned in the subject line &amp; Email Body.
 </p>
 <p>
  <br/>
 </p>
 <p>
  👬 Spread the words, to interested colleagues/friends !
 </p>
 <p>
 </p>
</div>


Project Specialist

<div><div><div><div><div><div><div><div><div>Job Reference: 201330</div></div><div><p><b><br>
</b></p></div></div></div><div><div><div><div><b>Upstream
</b></div></div></div><p></p><div><p><b>Start Date: </b>18/11/2025</p><p><b>
Applications close on: </b>18/11/2025</p><p><b>
Contract Type: </b>Contract</p><p><b>
Country: </b>Kuwait</p><p><b>
Discipline: </b>Maintenance</p><p><b>
Minimum Experience: </b>2 Years+</p><p><b>
Job Contact: </b>gemma.stephens@visuna.com</p>
</div></div></div></div></div></div><p></p><div><div><div><div><div><div><p><b>Job Title: Maintenance Technician (Onshore &ndash; Kuwait)</b></p>
<p>
</p><div><b>Location:</b> Kuwait (Onshore)</div>
<div><b>Duration:</b> Minimum 3 months (with potential extension)</div>
<div><b>Company:</b> Major Oil &amp; Gas Service Company</div>
<div><b>Start Date:</b> ASAP</div>
<p></p>
<p></p><p><b>Position Summary</b></p>
<p>
We are seeking <b>two experienced Maintenance Technicians</b> to join our onshore operations team in Kuwait. The successful candidates will<br>
support the maintenance, troubleshooting, and repair of specialized oilfield<br>
equipment, ensuring safe, reliable, and efficient operations. Experience with <b>IRDV-KB</b> and <b>CERTIS</b> systems is essential.</p>
<div>
</div><p></p><p><b>Key Responsibilities</b></p>
<ul>
<li>Perform<br>
maintenance, calibration, and repair of IRDV-KB and CERTIS equipment<br>
according to company and OEM standards.</li>
<li>Conduct<br>
routine inspections and preventive maintenance to minimize downtime.</li>
<li>Diagnose<br>
and resolve mechanical, electrical, and control system issues.</li>
<li>Maintain accurate maintenance logs<br>
and technical documentation.</li>
<li>Work<br>
closely with engineering and operations teams to ensure optimal equipment<br>
performance.</li>
<li>Comply<br>
with all company HSE (Health, Safety, and Environment) policies and<br>
procedures.</li>
<li>Participate<br>
in toolbox talks and safety briefings.</li></ul><br>
<p></p>
<ul>
<li>Minimum<br>
3&ndash;5 years of experience as a maintenance technician in the oil &amp; gas<br>
industry (onshore or offshore).</li>
<li>Proven<br>
hands-on experience with <b>IRDV-KB</b> and <b>CERTIS</b> systems<br>
(required).</li>
<li>Technical<br>
diploma or equivalent certification in mechanical, electrical, or<br>
instrumentation engineering.</li>
<li>Strong<br>
troubleshooting and problem-solving skills.</li>
<li>Familiar<br>
with maintenance management systems and reporting tools.</li>
<li>Ability<br>
to work in multicultural teams and adapt to a fast-paced environment.</li>
<li>Valid<br>
passport and ability to work in Kuwait for the project duration.</li>
</ul>
<p></p><h3 class="jobSectionHeader"><b>Benefit of Working with Visuna?
</b></h3><p></p><ul><li>A dedicated member of the team responsible for your placements and welfare</li>
<li>Some of the best day rates in the industry</li>
<li>FREE worldwide insurance and Medevac cover whist on a Placement</li>
<li>24/7 access to our specialist support team</li>
<li>Assistance and advice on a range of business topics</li>
<p></p>
<li>FREE access to our Competency Scheme</li>
<li>Increased exposure to potential clients and more placement opportunities</li></ul></div></div></div></div></div></div></div><p></p>

Maintenance Technician

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