Machine Learning Engineer

Company Name: SYGNIA Ltd
Location: UAE
Posted by:

Sam Tattersall

Sam Tattersall

SYGNIA in LONDON | SYDNEY

Department

Architect and Development

Job Location

Abu Dhabi, United Arab Emirates

Salary 

30,000 Dirhams/per month (equivalent to c. £6,5k per month, £78k Year - tax free)

Please only apply for this role if you possess:

• Hands on experience with Python, R, Scala, Java
• Exposure to machine learning frameworks: Tensorflow, Keras, Pytorch, MXNet
• First-hand experience with a variety of machine learning and pattern recognition techniques 
• Develop in Jupyter (IPython) notebook, Spyder and various IDE

Job Purpose

As a Machine Learning Engineer, you should have exposure to work in a fast-paced Agile IT environment. 

Your main responsibility is to build complex data processing pipelines, design and implement machine learning algorithms. You will help envision our machine learning strategy at scale and help build the future of Education Science. 

As a member of our data science and machine learning team, you will be interacting with multi-functional teams for data preparation and apply machine learning/data mining algorithms in efficient workflows to process large-scale data.

This Machine learning role will be responsible for delivering projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment. You will also perform ad-hoc statistical and data science analysis. 

Job Specific Responsibilities

• Design and prototype algorithms that run on cloud based big data environments.
• Develop feature specifications and performance metrics to capture requirements
• Assemble representative data sets and use them to train and test new algorithms.
• Document designs and report results to product management on a regular basis 
• Identify opportunities for new algorithms and hardware improvements for future products.
• Develop and maintain data infrastructure systems that power statistical and machine learning models on large-scale datasets.
• Own data quality throughout all data lifecycles, including acquisition, cleaning, processing, and validation.
• Build platforms to facilitate the rapid iteration of machine learning and optimization algorithms.
• Work closely with Data science and Data engineering teams.
• Identify new ideas to build and evolve Machine Learning solutions, develop new features and benchmark possible solutions.
• Understand algorithms (be able to tweak them when needed) as well as infrastructure that enables fast iterations
• Experienced user of libraries such as scikit-learn, scipy, R, NetworkX, Spacy, and NLTK.
• Workingexperince of deep learning algorithms and workflows, and experience with any of the frameworks like Torch, Caffe, MXNet, TensorFlow.
• Knowledge in Spark, Hive, Cassandra, Kafka and NoSQL databases is plus
• Ability to meaningfully present results of analyses in a clear and impactful manner

Educational Qualification

• Degree in Computer Science, Statistics or related preferred

Essential Skills

• Hands on experience with Python, R, Scala, Java
• Exposure to machine learning frameworks: Tensorflow, Keras, Pytorch, MXNet
• First-hand experience with a variety of machine learning and pattern recognition techniques 
• Develop in Jupyter (IPython) notebook, Spyder and various IDE
• Engineer new features to improve algorithm predictions
• Experience in productionizing data-driven algorithms 
• 5 + years of strong data analysis skills, including principal component analysis, working with Recurrent neural networks 
• Intuitive ability to see a complex problem from many perspectives
• Organized, detail-oriented and pragmatic
• Thrives in both independent work and in collaboration on a multi-disciplinary team 
• Experience in working on datasets related to industry verticals, preferably Education Science
• AWS or similar cloud platform exposure
• Experience working with educational data sets.
• Excellent communication skills.

• Seniority level

  Mid-Senior level

• Employment type

  Full-time

• Job function

  Information TechnologyAnalyst

• Industries

  Management ConsultingInformation Technology and ServicesEducation Management