Yapay Zeka Mühendisi Market leading company

Antalya, İstanbul(Avr.), İstanbul(Asya)

Nasıl hesaplanır?
Bu iş sana uygun olmayabilir

Seçili özgeçmişindeki bilgilerle bu ilanın kriterlerleri sadece %30 uyumlu.

Uygunluğunu nasıl hesapladık?
Son iş deneyimin, geçmiş deneyimlerin ve toplam deneyimin uygunluk puanını etkileyen kriterler arasındadır.
Bu iş sana uygun olmayabilir

Seçili özgeçmişindeki bilgilerle bu ilanın kriterlerleri sadece %30 uyumlu.

Uygunluğunu nasıl hesapladık?
Mesleki Yeterlilikler
Şirketlerin ilanda belirlediği kriterlerle özgeçmişindeki bilgilerin ne kadar uyumlu olduğu içerik karşılaştırılmasıyla bulunur.
Bu iş sana uygun olmayabilir

Seçili özgeçmişindeki bilgilerle bu ilanın kriterlerleri sadece %30 uyumlu.

Uygunluğunu nasıl hesapladık?
Diğer Bilgiler

QUALIFICATIONS AND JOB DESCRIPTION

Responsbilities

  • Design and implement: data pipeline, ETL, and data models
  • Gather and process raw data at scale (including writing scripts, calling APIs, queries)
  • Process structured and unstructured data into a form suitable for analysis
  • Design and implement: data pipeline, ETL, and data models
  • Gather and process raw data at scale (including writing scripts, calling APIs, queries)
  • Process structured and unstructured data into a form suitable for analysis
  • Architect and build products to solve business problem using Python/Scala/Spark/AWS/Qubole
  • Implementing Machine Learning Algorithms using best in class methods
  • Implement Structured Streaming Applications
  • Work closely with partner/stakeholder teams to set expectations and make things happen
  • Drive the team's design methodology and data quality practices
  • Continue to learn/evangelize tools/methodologies in Big Data solutions and technology internally
  • Communicate effectively up and down

Qualiftications 

  • B.S. in Computer Science or related technical discipline, M.S. preferred
  • 5+ years in software development
  • A solid foundation in computer science, with strong competencies in data structures, algorithms, complexity, concurrency, distributed systems, and software design 
  • Experience with cloud platforms (e.g. AWS), and distributed data processing engines (Apache Spark)
  • Both a creative and a critical thinker
  • Shown success in a cross functional, collaborative environment with both technical and non-technical peers
  • Many years of experience with Bigdata solutions
  • Knowledge of mainstream technologies: Apache family: HDFS, Hadoop, beehive, spark, storm, Kafka.
  • Search technologies: complete elastic stack, Apache Lucene, Apache Solr
  • Java, Python
  • English "upper intermediate”

Nice to Have 


  •  Revenue Management Experience on Tourism Products

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POSITION INFORMATION