field service engineer Jobs in Kuwait City Kuwait

field service engineer

machine learning engineer – digital oilfield Jobs in Kuwait City Kuwait

machine learning engineer – digital oilfield

ml ops engineer – digital oilfield Jobs in Kuwait City Kuwait

ml ops engineer – digital oilfield

senior production engineer – digital oilfield Jobs in Kuwait City Kuwait

senior production engineer – digital oilfield

ml ops engineer digital oilfield

B&B Hotel Hannover-City

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: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 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: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

Job Brief:Are you a highly capable Technical Delivery Lead and Full Stack Developer with 10+ years of experience, including 3+ years in a technical leadership role, ready to guide a cross-functional software engineering team? Do you excel at providing architectural oversight across frontend, backend, QA, and DevOps, and translating complex business needs into technical execution plans? This is a 100% remote opportunity. If so, this is the opportunity with one of our client!Key Responsibilities:<ul><li>Lead the technical delivery and execution of complex digital software products and solutions.</li><li>Provide architectural guidance and hands-on contributions across the full stack (frontend, backend, database, cloud).</li><li>Mentor team members on engineering best practices, code quality, and performance optimization.</li><li>Translate ambiguous business requirements and use cases into detailed technical specifications and implementation plans.</li><li>Drive continuous improvement in CI/CD pipelines, automation efforts, and security compliance.</li></ul>Required Qualifications/Experience/Skills:<ul><li>10+ years of deep hands-on software engineering experience.</li><li>3+ years in a Technical Lead or Team Leadership role.</li><li>Expertise in full-stack development, modern frameworks, and cloud-native architectures.</li><li>Proven ability to drive CI/CD, automation, and DevOps best practices.</li><li>Exceptional communication and technical leadership 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 at least 10 years of hands-on software engineering experience, including a minimum of 3 years in a Technical Lead or technical leadership role?</li><li>Can you detail your experience in designing a scalable, cloud-native, full-stack application architecture? Please name the specific modern frameworks and CI/CD tools you master.</li></ul>

Development Lead / Full Stack Developer

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)

Procapita Group

<div>
 
 On behalf of our client, a
 
 leading oilfield services company
 
 , we are seeking a
 
 highly qualified and diligent Compliance Officer
 
 with proven
 
 CMA regulatory experience
 
 to ensure full adherence to all
 
 legal, regulatory, and internal governance requirements
 
 . This pivotal role will be instrumental in
 
 safeguarding the company&rsquo;s integrity, managing regulatory risk
 
 , and fostering a
 
 culture of ethical business practices
 
 during this exciting transformation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop, implement, and maintain robust
 
 compliance policies, procedures, and controls
 
 aligned with
 
 CMA regulations
 
 ,
 
 Kuwait Stock Exchange requirements
 
 , and
 
 industry standards
 
 .
 </li>
 <li>
 Monitor regulatory developments from the
 
 Capital Markets Authority (CMA)
 
 and other relevant bodies, ensuring timely communication of compliance changes to internal stakeholders.
 </li>
 <li>
 Conduct comprehensive
 
 risk assessments
 
 to identify compliance vulnerabilities and implement effective mitigation strategies.
 </li>
 <li>
 Lead compliance readiness efforts related to the
 
 IPO process
 
 , including disclosures, governance frameworks, and reporting obligations.
 </li>
 <li>
 Design and deliver
 
 compliance training
 
 for employees to promote awareness and adherence to CMA and market rules.
 </li>
 <li>
 Perform
 
 internal audits and compliance reviews
 
 to evaluate the effectiveness of existing frameworks and ensure readiness for regulatory scrutiny.
 </li>
 <li>
 Lead and document
 
 investigations into compliance violations
 
 , prepare detailed reports, and coordinate corrective actions.
 </li>
 <li>
 Prepare, review, and submit reports required by the
 
 CMA
 
 and other regulatory bodies
 
 accurately and on time
 
 .
 </li>
 <li>
 Serve as the organization&rsquo;s
 
 primary compliance advisor
 
 to management and the board on best practices for a listed entity.
 </li>
 <li>
 Maintain comprehensive
 
 records and documentation
 
 of compliance activities, training sessions, and incident reports.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Law, Business Administration, Finance
 
 , or a related discipline (Master&rsquo;s preferred).
 </li>
 <li>
 Minimum
 
 5 years in a compliance role
 
 within a regulated industry, with
 
 proven CMA regulatory experience
 
 .
 </li>
 <li>
 Strong command of
 
 Arabic and English
 
 , both written and verbal.
 </li>
 <li>
 Proficient in
 
 Microsoft Office
 
 ; familiarity with
 
 compliance or risk management software
 
 is an advantage.
 </li>
 <li>
 Prior experience in the
 
 Oil &amp; Gas sector
 
 is preferred.
 </li>
 </ul>
 
 
</div>

Compliance Officer

Explore 106+ Ml ops engineer digital oilfield in Kuwait City Kuwait this November. Find roles across top companies and apply now to boost your career.