Advisor, Machine Learning Engineer
Dell Technologies
Cairo, Egypt
منذ 6 يوم

Advisor, Data Science / Machine Learning Engineer


Dell provides the technology that transforms the way we all work and live. But we are more than a technology company we are a people company.

We inspire, challenge and respect every one of our over 100,000 employees. We also provide them with unparalleled growth and development opportunities.

We can’t wait for you to discover this for yourself as a Machine Learning Engineer, Advisor on our Data Intelligence Engineering team in Egypt .

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models.

What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Key Responsibilities

  • Build and deploy ML models on various platforms.
  • Directly integrating with services of other engineering teams.
  • Work with data science team to enable robust decision-making in terms of thinking about scale, latency, throughput requirements.
  • Create tools / systems to speed-up ML lifecycle.

  • Play a significant role in enabling adoption of sophisticated algorithms and data mining strategies.
  • Contribute to the development of data-related products and services.
  • Essential Requirements

  • Solid understanding of data structures and algorithms (expected to be fluent in at least one OO or functional language).
  • Requires 5+ years of related experience with a Bachelor’s degree; or 3+ years with a Master’s degree; or 1+ years with a PhD;
  • or equivalent experience

  • Software engineering experience particularly related to productionizing ML models and scaling them in low-latency settings.
  • Strong knowledge of ML fundamentals and algorithms.
  • Proficient in Scala or Java. Exposure to Python (esp. numpy, pandas).
  • Experience with AWS, docker / kubernetes, airflow, JIRA, confluence, etc.
  • Knowledge and / or interest in deep learning
  • Desirable Requirements

  • Drive for results and on-time delivery of key outputs
  • Seeks assistance when needed
  • Demonstrates self-initiative.
  • Solid written & verbal communication skills.
  • Demonstrated analytical and problem-solving skills.
  • Ability to learn and apply new tools and applications.
  • Keen business acumen in a highly transactional business model
  • Experience in storytelling with data.
  • Benefits

    We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities all to create a compelling and rewarding work environment.

    If you share our passion for data and you’re keen to play a key role in driving progress, this is your opportunity to develop with Dell.

    Closing date : 30-3-2020 .

    Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

    All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and / or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.

    Dell will not tolerate discrimination or harassment based on any of these characteristics. Learn more about Diversity and Inclusion at Dell here.

    Job Family : Engineering Job ID : R056968

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