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production engineering consultant digital solutions

Weatherford

<div>Job Overview:
The Production Engineering Consultant &ndash; Digital Solutions will play a vital role in supporting Weatherford&rsquo;s digital production optimization initiatives in Kuwait. This position focuses on utilizing advanced digital tools and engineering expertise to enhance artificial lift well performance (ESP, PCP, SRP) and maximize production efficiency. The Consultant will lead digital workflow implementation, integrate real-time production data, and collaborate with clients and internal teams to deliver sustainable production optimization and operational excellence.
Responsibilities:
&bull; Provide expert technical consultancy on artificial lift system optimization (ESP, PCP, SRP) using digital and analytical tools.
&bull; Model and simulate well and system performance using Wellflo, REO, Pipesim, GAP, and PROSPER.
&bull; Develop, implement, and maintain digital production optimization workflows aligned with Weatherford&rsquo;s technology platforms.
&bull; Analyze production data to identify underperforming wells and recommend optimization strategies.
&bull; Integrate digital solutions and real-time monitoring to enhance well surveillance and predictive maintenance.
&bull; Collaborate with operations, digital teams, and clients to ensure successful solution deployment.
&bull; Prepare technical reports, studies, and performance improvement presentations for stakeholders.
&bull; Drive continuous improvement of production optimization methodologies and digital workflows.
&bull; Ensure adherence to Weatherford&rsquo;s HSE policies and quality management standards in all activities.
Skills:
&bull; In-depth knowledge of Artificial Lift Systems &ndash; ESP, PCP, and SRP.
&bull; Proficiency in Wellflo, REO, Pipesim, GAP, and PROSPER for production modeling and optimization.
&bull; Strong background in digital oilfield technologies, production data analysis, and workflow automation.
&bull; Excellent analytical and problem-solving capabilities with a data-driven mindset.
&bull; Strong communication and interpersonal skills for client and cross-functional collaboration.
&bull; Familiarity with production systems, digital integration, and field optimization processes.
Qualifications:
&bull; Bachelor&rsquo;s Degree in Petroleum Engineering (required).
&bull; Minimum 10 years of experience in production engineering and artificial lift optimization.
&bull; Proven expertise in digital production optimization and artificial lift performance enhancement.
&bull; Demonstrated ability to lead projects and deliver technical excellence in a fast-paced environment
#LI-MD1</div>

Production Engineering Consultant - Digital Solutions

B&B Hotel Hannover-City

Job Brief:Are you a Senior Production Engineer with 10 years of experience driving digital oilfield productivity? Our client is seeking a seasoned expert to leverage advanced analytics and data-driven methods for production optimization and sustainable operations. This is a remote opportunity to combine your deep engineering expertise with cutting-edge digital technologies to enhance their oilfield performance..Key Responsibilities:<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>Required Qualification / Experience / Skills:<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>Job Location: RemoteType of Employment: Permanent / Full timeSalary: Negotiable (based on experience)What you can expect from the employer:<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>Job Types: Full-time, PermanentApplication Question(s):<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

Job Brief:Are you experienced in developing and deploying ML solutions for subsurface and production engineering workflows with 10+ years of hands-on experience? Do you excel at transforming real-world, noisy operational data into high-accuracy time-series predictions and anomaly detection models? If so, this is the opportunity with one of our client!Key Responsibilities:<ul><li>Design, build, train, and deploy production-grade ML models for applications including time series prediction, anomaly detection, and clustering within digital field systems.</li><li>Collaborate closely with Senior Production Engineers and other domain experts to identify, scope, and prioritize high-value ML opportunities.</li><li>Validate model accuracy and performance rigorously in operational settings and industrial environments.</li><li>Partner with software engineering teams (ML Ops, Full Stack) to ensure seamless integration and scalability of deployed models.</li><li>Conduct complex data modeling and feature engineering on diverse operational datasets.</li></ul>Required Qualifications/Experience/Skills:<ul><li>10+ years of experience in Machine Learning and data science.</li><li>Strong background in developing models for time series analysis and anomaly detection.</li><li>Expert proficiency in Python and core ML libraries (e.g., scikit-learn, TensorFlow/PyTorch).</li><li>Deep understanding of data modeling, statistical analysis, and model validation techniques.</li><li>Familiarity with subsurface or production engineering concepts is highly advantageous.</li></ul>Job Location: RemoteType of Employment: Permanent / Full timeSalary: Negotiable (based on experience)What you can expect from the employer:<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>Job Types: Full-time, PermanentApplication Question(s):<ul><li>Do you have experience in building ML solutions for oil &amp; gas applications?</li><li>Have you worked with time-series and production data analytics?</li><li>Are you proficient in deploying ML models to digital oilfield systems?</li><li>Do you have 10 years of relevant experience in Machine Learning and energy analytics?</li></ul>

Machine Learning Engineer – Digital Oilfield

Job Brief:Are you the ML Ops authority responsible for turning proof-of-concept models into robust, production-grade, highly available solutions? Do you have a passion for CI/CD, pipeline automation, and model traceability?<ul><li>If you are the engineer who can develop and maintain end-to-end ML pipelines (preprocessing, training, deployment, and monitoring) with high standards for reliability...</li><li>If you are the master of tools like Kubernetes, cloud platforms (Azure/AWS), and modern ML Ops frameworks...</li></ul>Then secure your spot in this critical role ensuring our client&rsquo;s ML solutions deliver continuous, reliable value.Key Responsibilities:<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>Required Qualification / Experience / Skills:<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>Job Location: RemoteType of Employment: Permanent / Full timeSalary: Negotiable (based on experience)What you can expect from the employer:<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>Job Types: Full-time, PermanentApplication Question(s):<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

visuna

<div><div><div><div><div><div><div><div><div>Job Reference: 201351</div></div><div> 
</div></div></div><div><div><div><div>Upstream
</div></div></div><div>Start Date: 16/11/2025
Applications close on: 16/11/2025
Contract Type: Contract
Country: Kuwait
Discipline: Production
Minimum Experience: 10 Years+
Job Contact: ldapplications@visuna.com
</div></div></div></div></div></div><div><div><div><div><div><div>Job Description:

We are seeking a Senior Production Engineer 
with deep domain expertise in oilfield operations and a passion for digital 
transformation. This role bridges the gap between field knowledge and data 
science/AI development teams, ensuring that intelligent systems reflect 
real-world production behaviors.

The candidate will contribute technical 
insights to product design, validate ML model results, and help prioritize 
opportunities for automation and optimization within Digital Oilfield (DOF) 
platforms. Experience with DOF tools is required. While AI/ML exposure is 
appreciated, it is not mandatory.

Key Responsibilities:
<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. 


Required Skills and Experience:
<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 
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.

Nice to Have:.
<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>
<h3 class="jobSectionHeader">Benefit of Working with Visuna?
</h3><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>

<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>

Senior Production Engineer – Digital Oilfield Systems

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience.</li>
<li>Experience in networking, compute infrastructure (e.g. servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments.</li>
<li>5 years of experience in delivering and developing customer-facing services with Cloud adoption and Cloud Migration programs.</li>
<li>Experience in one or more of the following such as Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE.</li>
<li>Experience in technical consulting or project, program management in corporate IT, professional IT services, or product development.</li>
<li>Ability to communicate in English and Arabic fluently to support client relationship in this region.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>MBA or Master's degree in Computer Science, Engineering or a related field.</li>
<li>Experience with infrastructure-as-code tools (e.g., Terraform, Cloud Deployment Manager) for automated infrastructure provisioning and management.</li>
<li>Experience with deployment and orchestration technologies (Docker, Kubernetes, Ansible, etc.) in production environments.</li>
<li>Experience working with cross-functional, geographically dispersed teams and customer bases, collaborating with channel partners, systems integrators, and third-party developers to deliver high-impact solutions.</li>
<li>Experience in customer-facing migrations, encompassing service discovery, assessment, planning, execution, and operations.</li>
<li>Experience with reading software code in one or more languages (e.g., Java, Javascript, or Python).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As a Platforms and Infrastructure Cloud Consultant, you will work directly with Google&rsquo;s customers on infrastructure projects that transform business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Partner with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement.</li>
<li>Design solution architectures and manage the deployment of cloud-based distributed virtualized infrastructure solutions according to customer requirements and implement best practices.</li>
<li>Collaborate with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.</li>
<li>Co-ordinate with Sales, Partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.</li>
<li>Travel approximately 30% of the time for client engagements.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Infrastructure and Data Consultant, Global Services Delivery (English, Arabic)

Job Brief:Do you have 10+ years of proven, real-world experience transforming noisy, high-volume operational data into actionable machine learning models? Are you the bridge between raw data, deep statistical insights, and engineering decisions?<ul><li>If you are the Data Scientist who can define, build, and evaluate ML models for forecasting, anomaly detection, and classification in a digital oilfield context...</li><li>If you are the driver who can collaborate to set quantifiable modeling tasks and design compelling data visualizations that lead to operational improvements...</li></ul>Then we need your expertise to create the intelligence layer that powers our client's digital systems.Key Responsibilities:<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>Required Qualification / Experience / Skills:<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>Job Location: RemoteType of Employment: Permanent / Full timeSalary: Negotiable (based on experience)What you can expect from the employer:<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>Job Types: Full-time, PermanentApplication Question(s):<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

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