Overview
Join a global software engineering company that delivers robust, scalable, & secure web & mobile applications.
The role is part of the client's ML Platform team, focusing on scaling ML capabilities to meet team and company goals. Key responsibilities include designing and implementing infrastructure and tools for developing and deploying machine learning models, both batch and real-time, using cutting-edge technology on the Snowflake platform. The position involves migrating to the Snowflake platform along with other modern data stack tools such as AWS (Sagemaker).
What will you do?

• Contribute to the design, development, and deployment of the ML platform
• Define and implement best practices for training, evaluating, and deploying machine learning models at scale
• Collaborate with software engineers, data engineers, and data scientists on end-to-end ML solutions
• Extend and maintain a self-service platform for data science teams

What are we looking for?

• Educational background in Computer Science
• Hands-on experience in machine learning engineering, with a track record of designing and deploying large-scale ML systems
• Extensive knowledge of software development with Python and SOLID principles
• Vast experience with SQL
• Understanding of machine learning techniques and MLOps
• Solid experience with Snowflake
• Knowledge of Infrastructure as Code (Terraform or similar)
• Practical knowledge of AWS, GCP, or Azure
• Experience with cloud technologies like Vertex, Dataflow, Cloud Run, Big Query, Datastore, Cloud Storage, Cloud Functions, and Pub Sub
• Experience with Snowflake Cortex / AWS Bedrock, AWS MSK, Snowpipe Streaming

What can you expect from us?

• A permanent job contract for a long term project
• Tech equipment + SIM Card + personal smartphone
• Health and Life Insurance
• Social events and team buildings
• The commitment of letting you grow with us, and be rewarded accordingly
• A dynamic and young team that will be always there to support you
• Formation in the latest technologies
• Coffee, fruits, snacks and a warm welcoming when you pass by the office

Tipo de oferta: Período Integral, Integral/Full-time
Benefícios:

• Cartão/Ticket refeição
• Seguro de vida
• Seguro saúde
• Telemóvel da empresa

Horário de trabalho:

• De segunda à sexta-feira
• Período diário
• Turno de 8 horas

Remuneração suplementar:

• Bónus anual
• Décimo terceiro salário
• Subsídio de Natal