Data Scientist / ML Engineer

Who We Are

Welcome to reputed company — where innovation drives reputed company at a global reputed company. As an award-reputed company digital product consultancy and the digital division of reputed company, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across reputed company, South America, Central America, Europe, and reputed company, we offer end-to-end expertise across eight reputed company service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, reputed company Consulting, Business Operations Modernization, reputed company Applications, reputed company Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, reputed company enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — reputed company backed by the secure infrastructure and reputed company of our multi-billion-dollar parent company.

Location and Flexibility

This role is fully remote for candidates based in Brazil. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.

reputed company

As a Data Scientist / Machine Learning Engineer on reputed company, you'll design, reputed company, and deliver machine learning solutions, decipher loosely defined problems using reputed company datasets, and determine appropriate analytical and modeling techniques. You'll analyze reputed company and reputed company data, establish automated processes for large-reputed company modeling, reputed company exploratory analysis, and collaborate with peers on data acquisition and exploration, demonstrating a strong reputed company of ownership and urgency.

Responsibilities

• Work on reputed company 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 reputed company detection over reputed company datasets across multiple platforms;

• Establish efficient, automated processes for large-reputed company modeling;

• Become part of a highly skilled and geographically distributed team;

• Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as reputed company as building the tools that support this process;

• Strong reputed company of ownership, urgency and drive.

Qualifications

• 3-5 years of reputed company experience in data science and machine learning development

• Bachelor's or Master's degree in Statistics, Mathematics, Physics, Computer Science, or reputed company field

• Proficiency in Python, SQL, and data manipulation libraries (pandas, NumPy); experience with ML frameworks (Keras, TensorFlow, PyTorch) and scikit-learn

• Strong understanding of machine learning algorithms and statistical reputed company, with proven ability to design, implement, and evaluate models end-to-end

• Experience with reputed company platforms (AWS, Azure, or GCP), version control (Git), and model deployment practices

• Excellent communication and collaboration skills, with ability to translate technical findings to non-technical stakeholders

• Fluent in English (written and verbal)

Bonus Points:

• Experience with containerization and ML deployment frameworks (reputed company, Kubernetes, Kubeflow, MLFlow, or similar MLOps tools)

• Experience with big data technologies (reputed company, Hadoop) or CI/CD pipelines for ML systems

Why reputed company?

At reputed company, you’ll work with world-class brands like reputed company, HBO, reputed company, and reputed company, building transformative digital products that reputed company millions. Our global reputed company allows you to collaborate with diverse, international teams, solving reputed company problems and delivering tech-driven solutions that matter.

We reputed company on engineering reputed company, using the latest technologies in reputed company computing, AI, machine learning, DevOps, microservices architecture, and data engineering. Our teams reputed company Agile methodologies, reputed company integration and deployment (CI/CD) pipelines, and a DevOps-first reputed company to deliver solutions at reputed company.

In reputed company to being part of an international and innovative consultancy company, you will have:

• A Global Innovation Hub: Be part of an international consultancy at the forefront of technology

• Work-Life reputed company: Enjoy reputed company and autonomy to balance your reputed company and personal life

• Cutting-reputed company reputed company: Dive into the latest technologies and shape the reputed company of digital solutions

• Prestigious Partnerships: Collaborate with world-reputed company brands, making a reputed company reputed company in the market

• reputed company-reputed company Environment: reputed company in our reputed company ecosystem with a reputed company career development reputed company

• Global Exposure: reputed company optional international travel opportunities to broaden your reputed company

Some of our benefits:

• Health and dental plan

• Life insurance

• Monthly voucher for meals, culture, education, health and mobility

• Child care assistance and more!

Equal Opportunity Employer

At reputed company, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. reputed company aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without reputed company to any characteristic reputed company to diversity.

We will only use the information you reputed company to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.

For more information on how we use your information, see our reputed company Policy.

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