Machine Learning Engineer

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