4+
Experience
Part Time
Job Type
B2
English Level
Experience
Job Type
English Level
We are seeking a highly skilled and experienced Senior Engineer to join our team, with expertise in Big Data and Machine Learning. As a key member of our engineering team, you will be responsible for architecting, developing, and maintaining robust Big Data and ML solutions.
By leveraging Generative AI, we analyze customer shopping patterns to gain a comprehensive understanding of their behaviors. Armed with these insights, brands can cultivate stronger relationships with their customers, fostering loyalty and repeat business. Our platform empowers businesses to not only provide personalised experiences to customers but also extract valuable real-time data. These insights drive informed business strategies, enhancing efficiency and optimising marketing and operational efforts.
Master’s degree in Computer Science, Data Science, or a related field
Minimum of 5 years of experience in Big Data and Machine Learning
Strong expertise in AWS cloud services, including EC2, EKS, and S3
Proficient in Apache Spark and Kubernetes
Familiarity with NoSQL databases, particularly Elasticsearch and ArangoDB
Deep understanding of machine learning algorithms and model development
Excellent communication, teamwork, and problem-solving skills
Design and implement Big Data architectures on Amazon Web Services (AWS) using technologies such as EKS, EC2, and S3
Utilize Apache Spark and Kubernetes to build data pipelines and perform distributed processing
Develop and deploy machine learning models using frameworks such as TensorFlow or PyTorch
Integrate NoSQL databases like Elasticsearch, ArangoDB into Big Data and ML solutions
Conduct exploratory data analysis, perform data cleansing, and ensure data quality
Work closely with data scientists to transform raw data into actionable insights
Collaborate with other engineers and stakeholders to integrate solutions into existing IT infrastructure
Stay abreast of the latest advancements in Big Data and ML technologies
Mentor and train junior engineers on best practices