Freelance Machine Learning Engineer

About the job

Job Opportunity: We are seeking a skilled Freelance Machine Learning Engineer to contribute to our projects. The ideal candidate should have at least 10+ years of experience in machine learning, with hands-on expertise in multimodality and computer vision. Main Responsibilities: Design, build, and deploy ML models into production-grade environments Set up and manage MLOps pipelines for continuous training, monitoring, and versioning Automate workflows for data processing, model deployment, and CI/CD Collaborate with engineering and product teams to translate business needs into ML solutions Implement model performance monitoring, logging, and alerting systems Optimize ML workloads for scalability, cost, and performance in cloud environments Ensure best practices in security, governance, and reproducibility Mandatory Requirements: Hands-on experience in Multimodality: candidate must have practical experience working with at least two modalities (Text + Vision or Text + Audio or Vision + Audio) Must have worked on multimodal pipelines, model building, or fine-tuning — not just using APIs or basic integration Minimum 2 years of hands-on work in multimodal ML, computer vision, or audio ML Strong experience with Computer Vision is required The CV must clearly reflect experience in: Image processing / vision-based ML Audio AI Multimodal architectures, datasets, or projects Desirable Skills: Experience with Generative AI, diffusion models, transformers, or similar Exposure to GPU training, model optimization, and large-scale datasets Requirements: ~35 hours of work per week 100% remote You will be paid out every month Please apply only if you have a 100% remote job currently.

Requirements

• machine learning
• multimodality
• computer vision
• MLOps
• data processing
• model deployment

Preferred Technologies

• machine learning
• multimodality
• computer vision
• MLOps
• data processing
• model deployment