Artificial Intelligence Specialist

2 months ago

Sydney, Australia 91HR Full time

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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