Machine Learning Engineer (AWS)

Location: Romania

Company

hirify.global provides AI-led cloud migration, managed services, and data solutions across AWS and Salesforce.

What you will do

• Design, build, and operate data extraction, transformation, and loading infrastructure using SQL, AWS, and big data technologies.
• Build and manage large data lakes and data pipelines for structured, real-time, IoT, and unstructured data.
• Optimize cloud-based relational databases and resolve security, performance, and operational issues.
• Build and deploy machine learning models with Jupyter Notebooks and AWS AI/ML services.
• Support cloud migrations, system redesigns, and data architecture initiatives.
• Work with solutions architects, project managers, data scientists, customers, and internal product and engineering stakeholders.

Requirements

• 3+ years of experience as a Data Scientist or Machine Learning Engineer.
• Bachelor’s degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field; graduate degree preferred.
• Experience with Python, SQL, relational and NoSQL databases, including MySQL, PostgreSQL, DynamoDB, or Cassandra.
• Experience with AWS services such as EC2, RDS, EMR, and Redshift, plus big data tools including Spark, Elasticsearch, Hadoop, Kafka, or Kinesis.
• Experience with machine learning models, deep learning neural networks, classification, scoring, NLP, and AWS AI/ML services.
• Experience building and optimizing data pipelines, data architectures, data sets, metadata, dependencies, and workload management processes.

Nice to have

• AWS Machine Learning Specialty certification.
• AWS Solutions Architect – Associate certification.

Culture & Benefits

• Learning and personal development are supported by experienced leaders.
• Work includes collaboration with customers and multiple internal technical and business teams.
• Employment is subject to equal opportunity principles.