About the Company

Our client is one of the world’s biggest providers of on-demand cloud computing platforms and APIs to individuals, companies, and governments. Offering over 200 fully featured services from data centers around the world. Our client has over 17 years of experience delivering cloud solutions to millions of users around the world, and has the most operational experience, at greater scale, of any cloud provider.

Job Description

• In this role, you will work on large-scale data science/data analytics projects.
• Ability to lead effectively across organizations.
• You will Implement AWS services in a variety of distributed computing, enterprise environments.
• You will define system architectures and explore technical feasibility trade-offs.
• You will work on a code base with many contributors.
• You will be required to prototype and evaluate applications and interaction methodologies.
• You will be required to present complex technical information in a clear and concise manner to a variety of audiences therefore you will demonstrate written and verbal technical communication skills.

Your Profile

Qualification and Experience

• Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
• 1+ years’ experience of Data platform implementation, including 1+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations.
• 3+ years experience developing cloud software services and an understanding of design for scalability, performance and reliability.
• 1+ years of IT platform implementation experience.
• Hands-on experience with Data Analytics technologies such as AWS, Hadoop, Spark, Spark SQL, MLib or Storm/Samza.
• Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis).
• Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
• Proficiency with at least one of the languages such as C++, Java, Scala or Python.
• Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.
• Experience with analytic solutions applied to the Marketing or Risk needs of enterprises
• Basic understanding of machine learning fundamentals.
• Ability to take Machine Learning models and implement them as part of data pipeline
• Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.
• Experience with AWS technology stack and current hands-on implementation experience required

About TalentUp Africa

TUA (TalentUp Africa) is a global training, recruitment, outsourcing, and relocation company based in the US, Nigeria, and Barbados. We work with the goals to empower top African tech professionals; break through global barriers; and to solve the global tech talent crisis by opening opportunities for African talent and global firms.