About Coastaloupe
Coastaloupe is at the forefront of AI-driven innovation, building cutting-edge machine learning solutions that transform industries. Focused on solving real-world challenges using state-of-the-art models and scalable AI systems. A great fit for those looking to work on impactful projects in a collaborative and fast-paced environment.
What You’ll Do
- Design, develop, and deploy machine learning models for real-world applications.
- Optimize models for efficiency, scalability, and deployment in cloud and/or edge environments.
- Work with deep learning architectures such as CNNs, RNNs, Transformers, and SSMs.
- Fine-tune pre-trained LLMs and integrate them into production workflows.
- Collaborate with data engineers to process and prepare large-scale datasets.
- Conduct model performance evaluation and optimization (Quantization, Pruning, Distillation, etc.).
- Apply MLOps best practices for model deployment, monitoring, and retraining.
Preferred Experience
- 3+ years of experience in machine learning and deep learning model development.
- Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch.
- Hands-on experience with LLMs, RAG, and Transformer-based architectures.
- Experience deploying models using AWS, GCP, or Azure.
- Familiarity with model optimization techniques for edge and cloud AI.
- Knowledge of MLOps tools (Docker, Kubernetes, MLflow, etc.).
- Strong problem-solving skills and ability to work in an agile development environment.
Bonus Points For
- Experience in Edge AI, Neuromorphic Computing, or Hardware-aware ML.
- Contributions to open-source ML projects or research publications.
- Experience with Graph Neural Networks (GNNs) or SSMs.
Why Join Coastaloupe?
✅ Work on cutting-edge AI/ML projects that drive real-world impact.
✅ Competitive salary and benefits.
✅ Flexible work arrangements (remote/hybrid options).
✅ Opportunities for career growth, research, and innovation.
This isn’t just about filling a role—it’s about contributing to a culture rooted in innovation, curiosity, and meaningful impact. If that resonates, apply, follow the page, and connect! 🚀