Vaga de Artificial Intelligence Specialist
1 vaga: | Publicada em 02/05
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Who is our client and your future employer?
The company where energy is the opportunity!
Our client occupies a unique position in the global energy industry. They are the
world's largest producer of hydrocarbons (oil and gas), with the lowest upstream
carbon intensity of any major producer.
With significant investment in technology and infrastructure, they strive to
maximize the value of the energy they produce for the world and commit to
enhancing value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world,
our client combines market discipline with a generations-spanning view of the
future, born of our nine decades of experience as responsible stewards of the
Kingdoms vast hydrocarbon resources. This responsibility has driven us to deliver
significant societal and economic benefits to not just the Kingdom, but also to
many communities, economies, and countries that rely on the vital and reliable
energy we supply.
This company is one of the most profitable in the world and amongst the top five
global companies by market capitalization.
LHR Americas
LHR Americas recruits people from around the world to work in Saudi Arabia.
Who are we looking for?
We are seeking an Artificial Intelligence Specialist to join our Global
Manufacturing Excellence Digitalization and Technology Management (D&TM).
D&TM are responsible for providing AI-powered solutions to various business
functions within our Global Manufacturing Excellence admin area. The solutions
leverage the latest technological advancements of Artificial Intelligence (AI) and
analytics to create business values across the value chain. The Global
Manufacturing Excellence organization will be the center of excellence in Global
Manufacturing under downstream business line within for Digital transformation,
Artificial Intelligence technologies and data science.
Your primary role will be to work closely with business functions, stakeholders,
functional teams to give consultations on AI/ML use case, identify potential value
from data, formulate AI and data science ideas and conceptualize them. This role
will play a pivotal role in helping our organization to make data-driven decisions
and to solve complex problems.
Minimum Requirements
Bachelors/ Masters degree in Engineering, Data science from a premier institute.
+5 years of experience in building data analytics-based products in industrial
context, preferably in petroleum refineries.
Identify business problems that can be addressed through data analysis and develop
data-driven solutions (Engineering/Operational problems, computer vision-based
products).
Exceptional analytical and Problem-solving skills, with the ability to derive
insights and opportunities from data are required.
Understanding of the Oil & gas downstream domain to apply data science effectively
is essential.
Experience in developing AI/ML based Digital twins of industrial
process/equipments.
Experience in applying Optimization algorithms in line with AI/ML Models.
Expertise in Python for data manipulation, analysis, and modeling. Familiarity
with popular libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn
etc.
Proficiency in deep learning tools keras, TensorFlow, pytorch, cafee, etc.
Proficiency in developing, evaluation and selecting the best ML model based on the
problem under consideration with an Engineering sense.
Bring ideas from conceptualization to productionizing.
Proficiency in visualization tools and packages; and in communicating data science
topics to non-technical audience.
Basic project management skills to plan, execute, and deliver data science
projects on time and within scope is preferred.
Key Responsibilities
Collaborate with cross-functional teams, including engineers and domain experts,
to drive data-driven improvements.
Gather and preprocess data from various industrial sources, such as sensors, DCS
systems, and manufacturing equipments.
Analyze data to identify opportunities for process optimization, energy efficiency
improvements, and cost reduction.
Implement anomaly detection algorithms to identify abnormal patterns in industrial
processes and equipment.
Develop predictive maintenance models to identify equipment failures and minimize
downtime.
Bring innovative ideas to apply image, video and audio analytics to reduce manual
efforts like visual inspection/field monitoring of industrial plants.
Create informative dashboards to communicate insights to operational teams and
management.
Deploy machine learning models into production systems for real-time monitoring
and decision-making.
Maintain documentation for data analysis processes, models, and findings.
Ensure that data practices adhere to industry regulations and data privacy
standards.
Monitor and evaluate model performance and make necessary adjustments to maintain
accuracy and reliability.
Job Benefits
Monthly Base Salary aligned with company employees with similar skills
Monthly Overbase 25% of your monthly base salary
Benefits Supplement 20% of your monthly base salary, after 3 years of service,
reward increases to 25% of base, after 6 years 30% of base, and after 12 years 35%
of base
Severance Package (2-year vest period) year 2 to 5: 2 week's pay for each year of service, Year 6+:
4 week's pay for each year after
Employment Tax if employee chooses to separate themselves from their home
country for income tax purposes, most will not be required to pay home country
income taxes; company will not report income to the home country governments.
Please check with your tax advisor for specifics relating to you
Employee Share Purchase Plan (ESPP) (eligible after 12 months of service)
maximum purchase equal to 10% monthly base pay with a cap, 20% share discount
Incentive Plan annual; based on performance, approx. 1.8x monthly base salary
Travel Allowance annual; approx. $8,200 per household member 11+ years old
residing in Saudi Arabia and $6,000 per household member under 11 years old
Vacation & Paid Holidays 38 vacation days / 4 travel days / 11-13 paid holidays
Medical/Dental Plan complimentary in-Kingdom Johns Hopkins medical
care/facilities for employee and eligible family members. In-Kingdom dental
services subsidized
Educational Assistance Plan (EAP) Out of Kingdom Assistance:
90% of expenses with a maximum per child, lesser of 5x monthly base salary or the company max ($48.5K), plus 3 round-trip economy air travel tickets; undergraduate college-age children get 2 round-trip economy air travel tickets; In Kingdom Assistance:
2x monthly base salary or the company max ($16.3K)
Settling in Allowance one-time payment; Family Status - 100% of monthly base
salary; Single/Bachelor Status 60% of monthly base salary
Stages of our Hiring Process
1. Resume Evaluation:
A member of our recruitment team will evaluate that your resume matches the
client's job description requirement.
Use the job description requirements to highlight your relevant experience and
skills.
Be specific and describe the significance of your work, keyword alignment is
important. Emphasize the impact of the work you've contributed to HR areas and
tasks. Use your professional profile/resume to focus on major accomplishments and
qualifications that match the job.
If your resume evaluation is suitable for this position, the recruitment team will
invite you to a preliminary phone/video interview in 2-3 days.
If your resume evaluation is not suitable, you will be receiving an e-mail
notification in 2-3 days.
2. Interviews Stage:
2.1 LHR Americas preliminary phone/video interview:
A member of the Talent Acquisition team from LHR Americas will first schedule a
call with you to discuss the details of the position, your interests, and
qualifications. Furthermore, your English level will be evaluated at this stage,
ONLY native or advanced speakers will approve this evaluation.
If this preliminary phone/video interview is successful, your resume will be
submitted to our client.
If your preliminary phone/video interview is not successful, our Talent
Acquisition consultant will inform you.
2.2 Client Face to Face interview:
This interview will happen only if your resume is approved by our client, we
cannot guarantee the time our client will take to approve your resume, but it
should take less than a week.
If your resume is approved a member of the Talent Acquisition Team will get back
to you and schedule a face-to-face meeting in a defined location. You will be told
to go to the location.
The client interview contains technical questions that help assess your
familiarity with problem-solving in your given field and may include a behavioral
evaluation. Be prepared to explain how you approach problems and produce
solutions.
If your face-to-face interview is successful, the hiring team will further
evaluate your resume, decide, and then receive a conditional job offer.
If your face-to-face interview is not approved, LHR Americas will inform you.
2.3 There could be additional video interviews with hiring managers, which may
also contain technical questions that help us assess your familiarity with
problem-solving in your given field.
3. Conditional Offer:
A successful interview may result in a conditional offer of employment.
Conditions for employment include but are not limited to medical examinations, and
permission to secure a visa to work and reside in-country.
4. Relocation Process:
After your offer is accepted and all conditions for employment are met, you will
be assigned a relocation advisor from LHR Americas. This advisor will be your
go-to resource for your job transition, providing valuable advice on visa
logistics, notice periods, medical requirements, and more.