![91HR](https://media.trabajo.org/img/noimg.jpg)
Artificial Intelligence Specialist
2 weeks ago
This is for our client
- worlds topmost energy company. The job location is **Saudi Arabia**.
**Interviews to be held in Sydney from 29th April Onwards. Our client gives complete relocation package
- the best in the industry.**
**Position Description**:
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 ourGlobal 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 our client organisation 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**:
You must hold a Bachelors/ Master’s degree in Engineering, Data science from a premier
institute.
You must have at least 5 years of experience in building data analytics-based products in
industrial context, preferably in petroleum refineries.
You possess the ability to 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.
essential.
Experience in developing AI/ML based Digital twins of industrial process/equipment’s.
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.
You must also be able to 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.
**Duties & 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 equipment’s.
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.
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 Types**: Full-time, Permanent
**Salary**: $150,000.00 - $460,000.00 per year
**Benefits**:
- Childcare assistance
- Dental insurance
- Extended annual leave
- Gym membership
- Health insurance
- Housing allowance
- Housing provided
- Life insurance
- Maternity leave
- Relocation assistance
- Travel reimbursement
- Visa sponsorship
Schedule:
- 8 hour shift
Supplemental pay types:
- Annual bonus
- Retention bonus
Ability to commute/relocate:
- Sydney, NSW: Reliably commute or willing to relocate with an employer-provided relocation package (required)
Application Question(s):
- Are you willing to relocate to Saudi Arabia?
**Experience**:
- AI: 5 years (required)
Work Authorisation:
- Australia (preferred)
Application Deadline: 15/04/2024
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