Machine Learning Engineer

Who We Are

In 2021, Poatek was acquired by WillowTree, an award-winning digital product consultancy recognized as one of the fastest growing and best places to work in the United States. Now a TELUS International company, with offices across the globe, we continue to partner with the world’s leading brands, such as the FOX, Capital One, HBO, PepsiCo, Domino’s and more, to design, build, and transform their digital products and strategies. We’re looking to grow our Poatek offices in Brazil with top talent excited to collaborate with team members across the globe to deliver innovative solutions for our clients.

Location and Flexibility

This is a hybrid role, which we’ve termed Work from Near (WFN). This model requires the ability to work on-site from one of our offices in São Paulo or Porto Alegre throughout the week based on team needs, while still providing the flexibility to work remotely on other days. Our WFN culture is designed to foster in-person innovation, collaboration, and connection with team members local and visiting from other global offices.

The Opportunity

As a Machine Learning Engineer on our team, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modeling techniques. You'll analyze structured and unstructured data, establish automated processes for large-scale modeling, perform exploratory analysis, and collaborate with peers on data acquisition and exploration, demonstrating a strong sense of ownership and urgency.

Responsibilities 

• Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;
• Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;
• Establish efficient, automated processes for large-scale modeling;
• Become part of a highly skilled and geographically distributed team;
• Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;
• Strong sense of ownership, urgency and drive.

Qualifications

• Relevant experience in data science/ machine learning development
• Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.
• Proficiency in Python.
• Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).
• Strong understanding of machine learning algorithms, processes, tools and platforms.
• Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow. 
• Big Data Hadoop work experience (either integration the models with the tools in Hadoop or other)
• Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work)
• Other programming experience (Spark, SAS, Scala, Java, etc.) is a plus
• Experience in working with large datasets and relational databases is desirable (SQL)
• Ability to work on distributed cloud platforms
• Exceptional written and verbal communication as well as presentation skill
• Fluent English
• Curiosity and an investigative profile: you’re a data-driven problem solver!

Why Poatek?

In addition of being part of an innovative consultancy company with an international culture, you will have:

• Be part of an innovative consultancy company
• Flexible hours and autonomy
• Work in international and agile projects
• International travels
• Voucher for health activities
• English classes
• Support in national and international courses
• Food allowance
• Snacks, drinks and video game in the office
• Work in a company with highly-skilled professionals
• Transportation or parking spot
• Annual attractive bonus.

Equality is a principle here at Poatek. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Therefore we provide equal employment opportunities to all employees and applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.

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