Machine Learning Engineer

Brazil

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Job Title: Machine Learning Engineer
Location: Remote
Type: Full-Time/Contractor
Compensation: $4,000-$6,000/monthly

About Us:
Our client is a venture-backed San Francisco based technology firm dedicated to developing innovative solutions in the B2B SaaS sector. Our team is committed to building scalable, high-impact software that transforms the way fintech operates.

If you are an Artificial Intelligence / Machine Learning Specialist and you are interested in working with world-class companies, submit your resume today!

Responsibilities

  • Collaborate with cross-functional teams to understand business requirements and objectives.

  • Design, develop, and deploy machine learning models to solve complex problems.

  • Collect, preprocess, and analyze large datasets to extract meaningful insights.

  • Implement and experiment with state-of-the-art machine learning algorithms and techniques.

  • Optimize and fine-tune models for performance and scalability.

  • Collaborate with software engineers to integrate machine learning models into applications.

  • Stay updated on emerging machine learning technologies, frameworks, and tools.

  • Conduct code reviews and provide mentorship to junior team members.

  • Collaborate with stakeholders to understand and address business challenges.

Qualifications

  • At least 2 years of proven experience as an AI/ML Specialist or Data Scientist, with a focus on machine learning.

  • Proficiency in programming languages such as Python or R for machine learning and data analysis.

  • Strong understanding of machine learning algorithms, deep learning, and statistical modeling.

  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

  • Familiarity with data preprocessing techniques and tools.

  • Knowledge of data visualization and exploration tools (e.g., Matplotlib, Seaborn).

  • Strong problem-solving skills and attention to detail.

  • Excellent communication skills and the ability to work collaboratively in a team environment.

  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for AI/ML deployment is a plus.

  • Advanced english level.

Preferred Skills

  • Relevant certifications (e.g., AWS Certified Solutions Architect, TOGAF).

  • Experience with hybrid cloud solutions.

  • Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).

  • Familiarity with DevOps practices.

  • Understanding of disaster recovery and business continuity planning.


What we Offer?

  • 100% remote

  • People first culture

  • Excellent compensation in US Dollars

  • Work with global teams and prominent brands based in North America

  • Training allowances

  • Personal time off (PTO) for vacations, study leave, personal time, etc.

  • Flexible work hours and remote options

  • Opportunities for professional development

  • A collaborative, inclusive work culture

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  12  4  0

Tags: AWS Azure Data analysis Data visualization Deep Learning DevOps Docker FinTech GCP Kubernetes Machine Learning Matplotlib ML models Python PyTorch R Scikit-learn Seaborn Statistical modeling Statistics TensorFlow TOGAF

Perks/benefits: Career development Flex hours Flex vacation

Regions: Remote/Anywhere South America
Country: Brazil

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