Looking for a Freelance Machine Learning Engineer to join a team of rockstar developers. The candidate should have a minimum of 8+ 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.
Must-Have Skills
Machine Learning & AI : Model development, training, evaluation, and optimization.MLOps : Model deployment, monitoring, ML pipelines, experiment tracking (e.g., MLflow, Kubeflow).DevOps : CI / CD, containerization (Docker), orchestration (Kubernetes).Python : Advanced proficiency with ML libraries and automation.Cloud Platforms : AWS / GCP / Azure (any one or more).Version Control & Automation : Git, scripting, workflow automation.Good to Have
Experience with distributed systems and data pipelines.Knowledge of LLMs, RAG, Vector DBs, or GPU-based training.Experience with monitoring tools like Prometheus, Grafana, etc.What we need
~35 hours of work per week.100% remote from our sideYou will be paid out every month.Min 7+yrs of experiencePlease apply only if you have a 100% remote job currentlyIf you do well, this will continue for a long time