Sr. Data & ML Engineer (AWS)

TL;DR

Sr. Data & ML Engineer (AWS): Building and optimizing AWS-based analytics and machine learning pipelines with an accent on scalable data platforms and ML model implementation. Focus on leveraging services like Amazon Sagemaker, Kinesis, and Spark to drive business insights and develop high-performance data architectures.

Location: Must be based in Brazil. Mandatory office presence for candidates residing in the Campinas Metropolitan Region.

Company

Specialists in technological transformation combining human expertise with AI to create scalable tech solutions for over 1,000 global customers.

What you will do

• Implement AWS Analytics and ML services including Kinesis, Glue, Redshift, EMR, Athena, and Sagemaker.
• Design and operate high-scale data systems using Apache Kafka, Apache Spark, and NoSQL technologies.
• Collaborate with Solution Architects and Data Scientists to remove data constraints and generate business insights.
• Develop data sets to answer key business questions by understanding and implementing business requirements.
• Create technical collateral such as white papers, blogs, and demos for customers.

Requirements

• Must be based in Brazil.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of experience in Data platform implementation.
• 3+ years of hands-on experience with Kinesis, Kafka, Spark, or Storm.
• Proficiency in programming languages such as Python, Java, or JavaScript.
• Solid understanding of machine learning fundamentals and ability to implement models into data pipelines.

Nice to have

• Master's or PhD in a technical field.
• Experience with Deep Learning frameworks like TensorFlow, PyTorch, MxNet, Caffe, or Keras.
• Proven track record of building large-scale ML infrastructure for customers.
• Experience with Scala or C++.

Culture & Benefits

• Comprehensive health and dental insurance.
• Meal and food vouchers.
• Extended parental leave and daycare assistance.
• Wellness and fitness partnerships via Wellhub (Gympass) and TotalPass.
• Profit sharing (PLR) and Life Insurance.
• Continuous learning via hirify.global University and language platforms.