Looking for a Freelance Machine Learning Engineer to join a team of rockstar developers. The candidate should have a minimum of 10+ yrs. of experience.
There are multiple openings. If you're looking for freelance / part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans / BITS grads with 10+ years of development experience + work with F500 companies (our customers).
Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q4 2025.
Key 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.
- Work closely 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 (Must-Have) :
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 ChatGPT 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 for Rockets project roles.The CV must clearly reflect experience in :Image processing / vision-based MLAudio AI (if applicable)Multimodal architectures, datasets, or projectsGood to Have :
Experience with Generative AI, diffusion models, transformers, or similar.Exposure to GPU training, model optimization, and large-scale datasets.What we need
~35 hours of work per week.100% remote from our sideYou will be paid out every month.Min 10+yrs of experiencePlease apply only if you have a 100% remote job currentlyIf you do well, this will continue for a long time