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senior production engineer digital oilfield

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

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

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

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

Tangerine - Human Capital Management

<div>
 
 The applicants should have good experience in Field Development related Project Management and should have vivid experience in handling some of the following projects:
 
 
 
 
 <ul>
 <li>
 
 Reservoir Management
 
 : 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>
 
 
 
 <ul>
 <li>
 
 Production Optimization
 
 : 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>
 
 
 
 <ul>
 <li>
 
 Real Time monitoring of wells
 
 : SCADA / Digital oilfield systems
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Recover Bypass Oil
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Integrate with existing Infra structure
 
 : Re-use or upgrade existing facilities economically / Feasibility studies for new wells or flowlines
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Phased development &amp; Incremental Planning
 
 : Adaptive project planning linked to field performance
 </li>
 </ul>
 
 
 
 <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>
 
 
 
 <ul>
 <li>
 Analyze causes of well integrity failure and solutions
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Cost efficient process and technology for OPEX reduction
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Handle Change &amp; Risk management
 
 : Handle uncertainties in performance, data and aging assets / continuous risk identification &amp; mitigation (Techno-commercial) / Contingency planning for shutdowns or failures
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Any other process / technology to enhance oil production and recovery factor in Brown field development
 </li>
 </ul>
 
 
 
 
 📧 To apply, email your CV to deepak@tangerine.org.in
 
 
 
 
 
 Position Applied should be clearly mentioned in the subject line &amp; Email Body.
 
 
 
 
 
 👬 Spread the words, to interested colleagues/friends !
 
 
 
</div>

Project Specialist

Job Brief:Are you a Senior Backend Developer with 7+ years of robust experience specializing in Java and high-performance SQL databases? Are you meticulous about data integrity, security, and optimizing mission-critical backend services and data models? This is a 100% remote opportunity. If so, this is the opportunity with one of our client!Key Responsibilities:<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 Java.</li><li>Manage, tune, and support database environments (e.g., SQL Server, PostgreSQL, Oracle).</li><li>Assist the development team with debugging, optimizing complex SQL queries, and stored procedures.</li><li>Champion database performance tuning, backup/recovery strategies, and data security standards.</li></ul>Required Qualifications/Experience/Skills:<ul><li>7+ years of professional experience in Java development and database management.</li><li>Expert proficiency in Java and related enterprise frameworks.</li><li>Deep expertise in SQL, data modeling, query optimization, and database performance tuning.</li><li>Experience with relational database administration and security best practices.</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 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)

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