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Senior BigData/ML Engineer

Worldwide
4+

Experience

Remote

Job Type

B2

English Level

Who We’re Looking For

By leveraging Generative AI, we analyse customer shopping patterns to gain a comprehensive understanding of their behaviours. 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. 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.

What You’ll Do
  • 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

What You’ll Need
  • 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

What We Offer
  • Competitive salary
  • Remote work opportunity
  • Comfortable work in your local time zone
  • Flexible work schedule
  • Professional growth and development
  • Multicultural working environment