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 Key responsibilities:

Technology

  • Must know the in and out of the AI/ML algorithm being used and not just the library to call.
  • Should have commissioned atleast two projects end to end beyond the Proof of Concept.
  • Design state of the art descriptive, diagnostic and predictive algorithms based on the business requirements
  • Deliver enterprise level analytics solutions to SLB customers
  • Provide analytics solutions in Big data platform which can scale
  • Design distributed, GPU and parallelized algorithms
  • Architect the data science solutions to complex high dimensional data
  • Deep dive on to theoretical and implementation details and provide the solution fundamentals
  • Support architecture and platform team to optimize their operation
  • Capable to train and gain expertise quickly on new Infrastructure tools and all assigned technologies

Business

  • Engage with the business segments and internal stakeholders to capture requirements
  • Work closely with analysts and business process managers to develop an end-to-end analytics solution
  • Present and Communicate solution design with Business & IT audience

External Presence

  • Engage with the external technical and business community to brand and differentiate analytics best practices .
  • Participate in technical forums and other appropriate events and conferences

Qualifications and Requirements

Essential qualifications

  • PhD or Master’s degree in Computer Science, Electrical Engineering, Mathematics and Computing, Operations Research from top tier institutes.
  • Devops driven 4-6 years of Industrial experience in developing core machine learning algorithms
  • Academically trained in the field of machine learning/AI/Data Science/Computer Vision etc
  • Excellent communication, verbal and written skills

Key competencies in data science technologies

  • Strong background in some of these listed areas: Machine learning, time series analysis / sensor processing, AI/Deep Learning, optimization/operations research, text analytics/NLP, Applied Mathematics, Decision Sciences, Computer Vision
  • Building and applying machine learning / predictive modelling in real-world use cases
  • Strong understanding and implementation and solution architecting of predictive / analytical modeling techniques, theories, principles, and practices
  • Strong theoretical foundations in machine learning, optimization, stochastic process, linear algebra etc.
  • Excellent knowledge of data mining / predictive modeling tools such as Python, Spark, Tensorflow, Keras, MLlib etc.
  • Ability in designing distributed and parallelized algorithms
  • Ability in deploying real world solutions in Hive, Spark and other Hadoop Technologies in Cloud and In-premise
  • Capable of delivering on multiple competing priorities with little supervision

Other skills and abilities

  • Deep understanding of big data platforms such as Azure, Google cloud etc.
  • Ability to abstract model representations and formulate repeatable models
  • Strong ability to work in a fast-paced environment
  • Strong ability to work both autonomously and in a team
  • Strong ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
  • Understanding of Oil and Gas domain is a plus
  • Experience working with, processing and managing large data sets (multi TB scale) is preferred
  • Experience in real-time stream processing is a plus
  • Keep continuously up-to-date on all assigned technologies

Salary

Competitive

Monthly based

Location

, New Valley, New Valley, Egypt, New Valley, Egypt

Job Overview
Job Posted:
17 hours ago
Job Expire:
2w 2d
Job Type
Full Time
Job Role
Education
Any
Experience
3 - 5 Years
Slots...
1

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Location

, New Valley, New Valley, Egypt, New Valley, Egypt