Machine Learning Engineer
Description For Machine Learning Engineer
Poatek, acquired by WillowTree in 2021, is an award-winning digital product consultancy now part of TELUS Digital. With offices across the globe, we partner with leading brands like FOX, Capital One, HBO, PepsiCo, and Domino's to design, build, and transform digital products and strategies. We're expanding our Brazil offices and seeking top talent for collaboration on innovative client solutions.
As a Machine Learning Engineer, you'll design, develop, and deliver ML solutions, tackle complex problems using large datasets, and implement automated processes for large-scale modeling. You'll analyze data, perform exploratory analysis, and work closely with team members on data acquisition and exploration.
Key responsibilities include:
- Designing and developing ML-enabled solutions
- Solving loosely defined business problems using pattern detection
- Establishing efficient, automated processes for large-scale modeling
- Collaborating with a skilled, global team
- Demonstrating strong ownership and urgency
Qualifications:
- Experience in data science/ML development
- Degree in Statistics, Mathematics, Physics, or Computer Science
- Proficiency in Python
- Experience with ML frameworks and libraries
- Strong understanding of ML algorithms and processes
- Experience with container management and ML deployment frameworks
- Software development experience
- Ability to work on distributed cloud platforms
- Fluent English
We offer benefits such as flexible hours, cutting-edge technologies, career development, international travel opportunities, health and dental plans, life insurance, and various vouchers for meals, culture, education, health, and mobility.
Join our inclusive, diverse team and be part of an innovative, international consultancy company working with global brands!
Responsibilities For Machine Learning Engineer
- Design, develop, and deliver machine learning solutions
- Solve loosely defined business problems using pattern detection over complex datasets
- Establish efficient, automated processes for large-scale modeling
- Collaborate with peers on problem definitions, data acquisition, data exploration, and visualization
- Demonstrate strong sense of ownership, urgency, and drive
Requirements For Machine Learning Engineer
- Relevant experience in data science/machine learning development
- Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or 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
- Software development experience
- Ability to work on distributed cloud platforms
- Fluent English
Benefits For Machine Learning Engineer
- Flexible hours and autonomy
- Work with cutting edge technologies
- Partner with global and relevant brands
- Collaborative team and learning ecosystem
- Career development plan & growth
- International travel opportunities (optional)
- Health and dental plan
- Life insurance
- Monthly voucher for meals, culture, education, health and mobility
- Child care assistance
