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Machine Learning Engineer

Remote:

Full Remote

Salary:

48 - 72K yearly

Experience:

Mid-level (2-5 years)

Work from:

Brazil

Offer summary

Qualifications:

At least 2 years experience in AI/ML, Proficiency in Python or R, Strong understanding of machine learning algorithms, Experience with frameworks like TensorFlow or PyTorch.

Key responsabilities:

Collaborate to understand business requirements
Design, develop, and deploy machine learning models
Collect and analyze large datasets
Optimize and fine-tune models for performance

Agent Careers http://www.getagents.co

11 - 50 Employees

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Job description

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