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
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.
- 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.
- 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.
- 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