Engineer / Senior Engineer - Edge Analytic & Learning

Chief Engineer - Vetting Engineer

Draftsman

Senior Software Engineer

Senior Software Engineer RPA /AI 

Solution Engineer

Vice President, Regional Data Modeler, Group Compliance

Downstream Strategy & Planning Engineer

Service Director

Senior Data Engineer - 16238 

Responsibilities: <ul><li>To work with other stakeholders to design the data required for learning the device &amp; user behaviors.</li><li>To mine &amp; analyze the data available to understand the device and user behaviors.&nbsp;</li><li>To work with IoT cloud and data analytic teams to distribute the computation resource between cloud and edge.&nbsp;</li><li>To provide the best approach for the target applications, to train and implement the model into the edge device.</li><li>To continuously improve the model to enhance the user experience &amp; device productivity.</li><li>To closely tracking the R&amp;D results and to work with research institutions for projects.</li></ul> Requirements: <ul><li>University degree (MSc, MPhy or PhD) in data science, machine learning, statistic. Priority will be given to candidates with major in any of the 2 subjects.</li><li>3+ years experience in data analytic or machine learning for IoT applications, e.g. automatic temperature control for smart thermostats, predictive device maintenance, etc.</li><li>Solid knowledge in mathematics, statistic &amp; probability.</li><li>Solid experiences in data labelling, statistical modelling (regression, clustering), supervised &amp; unsupervised learning, DNN models for different applications.</li><li>Solid experiences in identifying valuable data, data collection method, processing of structured and unstructured data, mining trends &amp; pattern from data, predictive modelling.</li><li>Strong mindset of real-time implementation, to ensure the algorithm developed is realistic for real-time &amp; scalable applications.</li><li>Hands on experience in coding with Python, R, Java, C++.</li><li>Hands on experience in software tools, such as TensorFlow, PyTorch, Keras, Caffe, Spark, Hadoop, Hive, NoSQL.</li><li>Strong analytical &amp; innovative mindsets, strong system debug skill, thinking positive, be bumble &amp; open-minded.</li><li>A stakeholder in edge computing for the FW team and a good team player.</li><li>Good command of English and communication skill.</li></ul>

Role Description: <ul><li>Client is seeking a highly competent Chief Engineer with an STCW III/2 Chief Engineer Unlimited License, from a recognized marine academy or nautical college, to serve as a Chief Engineer in our Quality Assurance &amp; Compliance Unit (QA&amp;CU).</li><li>Successful candidates will be responsible for the compliance of Marine Department regulations, instructions and guidelines for both Saudi Client owned and client contracted Marine Department vessels.&nbsp;</li><li>The Quality Assurance &amp; Compliance Unit (QA&amp;CU) ensures the safe operation of vessels that support numerous departments, which include, but are not limited to Terminal, Producing, Drilling &amp; Workover (D&amp;WO), and Industrial Security.</li><li>Every vessel that works in the Saudi offshore concession areas is inspected by a QA&amp;CU chief engineer.&nbsp;</li><li>QA&amp;CU conducts all Marine Department vessel on hire inspections to ensure safe operation in Saudi Arabian concession areas and in addition to Marine, QA&amp;CU conduct all vesselon-hire inspections for the Offshore Projects Department, which, when combined, is a significant number of vessels per year.&nbsp;</li><li>QA&amp;CU has teams that operate permanently out of Ras Tanura and West Pier, and frequently sends QA&amp;CU Chief Engineers to Abu Ali Pier, Juaymah Pier, Duba, Jiddah and Jizan. Ensuring vessel and personnel compliance with regulations, instructions and guidelines ensures that every aspect of oil and gas operations offshore is conducted in a safe manner from supporting surveying, drilling, production and finally the export of oil and gas.&nbsp;</li><li>In addition to this, the security of client and Saudi Arabian assets is supported by ensuring safety and compliance for offshore security operations. The work schedule will be 42 days on/21 days off, with Company paid travel and vacation.</li><li>Client occupies a unique position in the global energy industry. We are the worlds largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance clients value to society.</li><li>Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources.</li><li>This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.</li></ul> Responsibilities: <ul><li>You will be required to perform the following: Conducting vessel inspections such as on hire inspections, safety inspections, return to service inspections as well as industry best practice inspections such as OVID.&nbsp;&nbsp;</li><li>Evaluating and monitoring contractor engineering officer acceptance, ensuring adherence to industry best practices and conducting incident investigations.</li><li>Ensuring compliance to company instructions, recommendations and findings. Incident investigation and recommendation close-outs. Vessel breakdown verifications.</li><li>Maintaining and reviewing the Department’s safety management systems.</li><li>Maintaining and reviewing the Offshore Manual.</li></ul> Requirements: <ul><li>As the successful candidate you will hold an STCW III/2 Chief Engineer Certification.&nbsp;</li><li>A degree or diploma in marine engineering is preferred.</li><li>You must have a minimum of 8 years of experience in the offshore oil and gas industry and at least 2 years working as a Chief Engineer.</li><li>Experience with international marine regulatory body requirements, classification standards, marine engineering practices, specifications and rules is also required.</li><li>Excellent communication skills and the ability to build strong relationships and work effectively in a team.</li><li>You must be able to communicate fluently in both oral and written English.&nbsp;</li></ul>

Responsibilities: <ul><li>Reports directly to Engineering Manager/Design Engineer.</li><li>Preparation &amp; control of Drawing &amp; other design related documents.</li><li>To prepare drawings on solid Edge software.</li><li>Designing of Oilfield equipment’s.</li><li>Use Solid edge to standard the part use DDM to store drawing.</li><li>Read &amp; understand and specification of pneumatic, hydraulic and electro-hydraulic actuator.</li><li>Work directly with engineering staff, to produce drawings and bills of material from sketches, existing drawings, and electronic images, along with written and verbal descriptions.</li><li>To assign Part numbers, drawing numbers in line with standard procedures.</li><li>Coordination with design engineer for work completion.</li><li>Develop improved designs in consultation with the engineering manager.</li><li>To prepare and review drawings and BOM.</li><li>Good command over 3D/2D design software including modeling, assembly and drafting.</li></ul> Requirements: <ul><li>ITI in Draughtsman trade / Diploma in engineering. Experience required</li><li>Minimum 1-3 Year of experience as a draughtsman in any manufacturing industry.&nbsp;</li><li>Knowledge on API Q1 &amp; ISO 9001 requirements.</li><li>Read and interpret technical drawings, schematics, technical specification and outside drawing.</li><li>Knowledge on GD&amp;T.</li></ul>

Role Description: <ul><li>The Senior Software Engineer will be responsible for the implementation of Robotic Process Automation (RPA) &amp; AI solutions &amp; Business Process Automation and IOT Solutions.</li><li>The Senior Software Engineer responsibility will be to build and implement RPA/AI / IOT Solutions and participate in Research and Development Projects.</li><li>In this role, the applicant should be a team player with a keen eye for detail and problem-solving skills.</li></ul> Responsibilities: At least 3 years strong experience in Software Development. <ul><li>Proven experience as a Back-end developer, with proficiency in the following programming languages and technologies:</li><li>Front-end: HTML, CSS, JavaScript, React, Angular, or Vue.js.</li><li>Back-end: Python, Java, C#, Node.js, Ruby, or PHP.</li><li>Database: SQL, MySQL, PostgreSQL, or NoSQL.</li><li>Experience with AI, machine learning, and deep learning frameworks such as TensorFlow, Keras, PyTorch, or scikit-learn would be a definite advantage.</li><li>Knowledge of RPA tools and platforms like UiPath, Automation Anywhere, or Blue Prism would be a definite advantage.</li><li>Work with the team to design algorithms and flowcharts.  Produce clean, efficient code based on specifications.</li><li>Troubleshoot, debug and upgrade existing software.</li><li>Gather and evaluate user feedback.</li><li>Recommend and execute improvements.</li><li>Create technical documentation for reference and reporting.</li><li>Work with clients and software developers to execute RPA &amp; AI initiatives by analysing potential Process for Automation.</li><li>Participate in existing Research &amp; Development Projects in AI and IOT.</li></ul> Requirements: <ul><li>Bachelor degree in an appropriate subject (e.g. computer science, Software engineering or any relevant professional certificate(s)) At least 3-5 years hands-on experience in any programming language listed above</li><li>Strong problem-solving and analytical skills.</li><li>Ability to adapt to changing technologies and industry trends.</li><li>Self-motivated, with a strong drive for continuous learning and personal development.</li></ul>

Role Description&nbsp;<ul><li>The RPA /AI Senior Software Engineer will be responsible for the implementation of Robotic Process Automation (RPA) &amp; AI solutions &amp; Business Process Automation and IOT Solutions.</li><li>The Senior Software Engineer responsibility will be to build and implement RPA/AI / IOT Solutions and participate in Research and Development Projects.</li><li>In this role, the applicant should be a team player with a keen eye for detail and problem-solving skills.</li></ul> Responsibilities: <ul><li>Work with the team to design algorithms and flowcharts.</li><li>Produce clean, efficient code based on specifications.</li><li>Troubleshoot, debug, and upgrade existing software.</li><li>Gather and evaluate user feedback.</li><li>Recommend and execute improvements.</li><li>Create technical documentation for reference and reporting.</li><li>Work with clients and software developers to execute RPA &amp; AI initiatives by analysing potential Process for Automation.</li><li>Participate in existing Research &amp; Development Projects in AI and IOT</li></ul> Requirements:&nbsp;<ul><li>Bachelor’s degree in an appropriate subject (e.g., computer science, Software engineering or any relevant professional certificate(s)) At least 3-5 years hands-on experience in any programming language listed above.</li><li>Strong problem-solving and analytical skills. </li><li>Ability to adapt to changing technologies and industry trends. </li><li>Self-motivated, with a strong drive for continuous learning and personal development</li><li>At least 3 years strong experience in Software Development.</li><li>Proven experience as a Back-end developer, with proficiency in the following programming languages and technologies:</li><li>Knowledge of RPA tools and platforms like UiPath, Automation Anywhere, or Blue Prism would be a definite advantage.</li><li>Front-end: HTML, CSS, JavaScript, React, Angular, or Vue.js</li><li>Back-end: Python, Java, C#, Node.js, Ruby, or PHP</li><li>Database: SQL, MySQL, PostgreSQL, or NoSQL</li><li>Experience with AI, machine learning, and deep learning frameworks such as TensorFlow, Kera’s, PyTorch, or scikit-learn would be a definite advantage.</li></ul>

Responsibilities: <ul><li>Develop Edge solutions by conferring with users; analyzing use cases, workflows, network information, and security requirements; designing network and traffic routing</li><li>Evaluating solution performance issues including availability, utilization, throughput, and latency; planning and executing the selection, installation, configuration, and testing of equipment; defining network policies and procedures; establishing workloads, connections, and firewalls</li><li>Maintains customer communication and interaction through problem resolution, solution development and troubleshooting</li><li>Build simulation network by developing network access, monitoring, control, and evaluation; maintaining documentation.</li><li>Prepares users by designing and conducting training programs; providing references and support.</li><li>Upgrades network by conferring with vendors; developing, testing, evaluating, and installing enhancements.</li><li>This position has the growth potential to transition into a senior support engineer role.</li></ul> Requirements: <ul><li>4 years of experience in Level 3 support, testing and solution development.</li><li>Hands on experience in networking, routing and switching.</li><li>Experience with developing virtualized solutions, e.g. Docker and Virtual Machines in an embedded gateway solution.</li><li>Excellent knowledge of best practices around management, control, and monitoring of server infrastructure.</li><li>Good experience with embedded systems testing, performance monitoring, tuning and optimization.</li><li>Good exposure to programming languages such as Python, Perl, bash scripting.</li><li>Familiarity with virtualization technologies such as Hyper-V, vSphere, and vCenter.</li><li>Familiarity with protocol level tracing with Wireshark.</li><li>Familiar with cloud platforms such as AWS, GCP, or Azure.</li><li>Good team player and willing to learn attitude.</li><li>Voracious need to document code and catalog data transformations.</li></ul>

Responsibilities: Responsible for building our client’s AFC analytical capabilities in response to external and internal requests; developing, maintaining, and upgrading in-house AFC analytical models when needed&nbsp; Support model maintenance: <ul><li>Liaise with Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models&nbsp;</li><li>Re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed&nbsp;</li></ul> New model development: <ul><li>Work closely with model end-users and other key stakeholders (e.g., Head of Modelling, Business Analyst, Data and Ops Engineer, GC) to identify additional areas which require analytics support or future model build and include those models in development pipeline&nbsp;</li><li>Develop model narratives (e.g., purpose, logic, parameters, data requirements, output surfacing / structuring) in collaboration with the business and other relevant stakeholders&nbsp;</li><li>Work closely with other Data Scientist(s) and Business Analyst, and undertake the end-to-end AFC model development, including data wrangling, exploratory data analysis, feature selection, model selection, training, testing, etc.&nbsp;</li><li>Build a range of models (rule-based, supervised / unsupervised models, etc.) on structured, semi-structured, and/or unstructured data if needed&nbsp;</li></ul> Special projects: <ul><li>Support special / high-priority projects, including building AFC analytical capabilities in response to external (e.g., regulatory) requests or internal intelligence, or based on gaps identified for existing analytical capabilities / models&nbsp;</li><li>Keep abreast with the latest, cutting-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to AFC / AML&nbsp;</li><li>Communicate with Business Analyst to understand new regulatory requirements / policy updates relating to the areas / risks covered by the AFC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those models&nbsp;</li></ul> Model governance: <ul><li>Support the Head of Modelling in identifying enhancements to existing model governance policies and processes, particularly in relation to newly built models&nbsp;</li><li>Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards&nbsp;</li></ul> Requirements: <ul><li>5 –10 years of experience working in the technology space and preferably 2 –4 years of data science / data analytics experience&nbsp;</li><li>1 –2 years of experience working with advanced analytical models/tools/applications (e.g., machine learning)&nbsp;</li><li>Prior experience working on large-scale analytics projects</li><li>Experience in or familiarity with analytics related to AML/AFC/compliance risks&nbsp;</li><li>Ability to clearly communicate technical results in an easy-to-understand mannerand tailoring them to different audiences&nbsp;</li><li>Ability to handle multiple priorities and work under pressure&nbsp;</li><li>Bachelor’s degree, or equivalent, in Computer Science, Engineering, Statistics, Mathematics, Business Analytics etc.</li></ul> Technical skills:&nbsp; <ul><li>R and Python for data science, with practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, Tensorflow, Sklearn)&nbsp;</li></ul> Other details: <ul><li>This is an Individual contributor role.</li><li>Candidate must have strong experience in Data Analytics – Big Data, Hadoop etc.</li><li>Would be responsible for developing and designing the model from scratch.&nbsp;</li><li>AML, AFC experience preferred, not a must have.</li><li>Other non-banking industries can be looked at provided strong technical background.&nbsp;</li></ul>

Role Description: <ul><li>Downstream Strategy &amp; Planning Engineer to join our Strategy &amp; Capital Planning Division within the Business Optimization Department (BOD) of our Downstream Business Line. BOD is responsible for all Downstream assets’ operations, planning, profit and loss, and capital plans for wholly-owned and affiliates.</li><li>The Downstream Strategy &amp; Planning Engineer’s primary role is to review and recommend capital plans in line with our Downstream strategy.</li></ul> Responsibilities <ul><li>Assist in the technical development and economic justification of capital programs and alternatives to proposed capital projects.&nbsp;</li><li>Evaluate margin improvements opportunities in current refining and chemicals assets in context with the competitive landscape and market fundamentals.&nbsp;</li><li>Liaise with other departments to identify growth opportunities and capture synergies between assets.</li><li>Support sustainability projects in line with environmental standards and decarbonization targets.</li><li>Provide commercial and technical expertise in executing the downstream strategy, including appraisal of strategic options, identification of strategic tradeoffs and implementation plans.</li><li>Assist in developing and reviewing commercial agreements and Progression.</li></ul> Requirements: <ul><li>Bachelor’s degree in Chemical Engineering related field, MBA or a relevant advanced degree is strongly preferred.</li><li>Minimum of 15 years of professional experience in business development, with a strong track record of economic and commercial evaluations for major chemicals and refining projects, and a deep understanding of associated operations and integration of assets.</li><li>LP experience, preferably with PIMS, to evaluate business cases in different development scenarios.</li><li>An in-depth and current understanding of the global energy market and its trends, as well as economic and financial models.</li><li>Expert in international business and cross-cultural professional practices.</li></ul>

Responsibilities : <ul><li>Build a work culture that embraces quality, safety and excellence in customer portfolio management and technical delivery</li><li>Drive and lead the service business by promoting and ensuring profitable growth across maintenance and repairs of the company’s equipment.</li><li>Launch and implement new and innovative service offerings and improved ways of working</li><li>Execute business development initiatives and improve customer-centricity, operational excellence, market share and profitability</li><li>Be part of a winning ANZ leadership team with a transformation agenda</li><li>Create meaningful relationships with other state directors within ANZ, regional functional heads and global leadership</li></ul> Requirements: <ul><li>Good track record of successful customer-facing leadership roles gained within service related industries, with sales and operational experience</li><li>Degree qualified in engineering, business, commerce or other relevant tertiary qualifications</li><li>Prior experience in sales and operational management with full P&amp;L responsibility</li><li>Skilled at strategic business planning, governance and project-management</li><li>Able to engage, motivate, build trust, inspire improvement, change and drive acceptance across ANZ teams to enable business growth.</li><li>Ability to navigate and influence peers and stakeholders through a matrix work environment</li></ul>

About: Senior Data Engineer As a Senior Data Engineer, you will play a pivotal role in collecting, processing, and preparing enterprise data for analytics and reporting, to support our digital business initiatives. You’ll have the opportunity to lead the design and implementation of data products, working with a range of AWS services, including S3, Redshift, EMR, Lambda, Glue and SageMaker. You will be scoping and designing technical solutions, working with a variety of internal customers, including functional stakeholders, data scientists and data analysts. Developing and maintaining solutions to ingest raw data from enterprise systems and third parties into the data lake and designing and building data warehouse models using AWS services. Responsibilities: <ul><li>Cross-Functional Partnerships - Scoping and designing technical solutions, working with a variety of internal customers, including functional stakeholders, data scientists and data analysts.</li><li>Project Management - Leading data engineering projects with internal and external partners. Supporting technical aspects of projects from requirements through to implementation, by serving as an SME and educator to the organization and supplier partners.</li><li>Data Expertise - Analysis of incoming data and trends. Development of monitoring systems to track anomalies and data quality issues. Engineering data transformations to prepare data for analytics according to business requirements. Developing and maintaining solutions to ingest raw data from enterprise systems and third parties into the data lake.</li><li>Innovation Mindset - Driving innovation and continuous improvement of the global data engineering practice, including evaluation of emerging technologies and approaches. Establishing and championing data engineering best practices within the engineering community.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Management, Engineering, or related field with 7 to 10 years’ hands on experience in a technical field</li><li>Demonstrated technical/business experience in problem-framing and problem-solving with required project management skills.</li><li>Experience in data analysis, modeling, and mining.</li><li>Strong experience with data engineering tools and technology (E.g., Redshift, Spark, dbt, PowerBI)</li><li>Experience with SQL, Hive, Python, Scala, or other data querying languages.</li><li>Demonstrated experience translating complex and technical subject matter.</li><li>Ability to manage multiple and sometimes conflicting priorities.</li></ul>

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393 engineer senior engineer edge analytic learning Jobs found

Engineer / Senior Engineer - Edge Analytic & Learning

Chief Engineer - Vetting Engineer

Draftsman

Senior Software Engineer

Senior Software Engineer RPA /AI

Solution Engineer

Vice President, Regional Data Modeler, Group Compliance

Downstream Strategy & Planning Engineer

Service Director

Senior Data Engineer - 16238

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393 engineer senior engineer edge analytic learning Jobs found

Engineer / Senior Engineer - Edge Analytic & Learning

Chief Engineer - Vetting Engineer

Draftsman

Senior Software Engineer

Senior Software Engineer RPA /AI

Solution Engineer

Vice President, Regional Data Modeler, Group Compliance

Downstream Strategy & Planning Engineer

Service Director

Senior Data Engineer - 16238

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.