Machine Learning Engineer Opportunity

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Machine Learning Engineer in BRAZIL

Remote 10 months ago
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

Apply now

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