onsite
Software Engineer - Machine Learning & Multimodal AI
ML Engineer
Develop and deploy cutting‑edge multimodal AI models, leveraging deep learning frameworks and robust version‑control workflows to deliver intelligent solutions.
About the role
Key Responsibilities
- Design, implement, and train multimodal deep learning models that combine text, image, and audio data.
- Develop scalable pipelines for data preprocessing, model training, and inference using Python and modern ML libraries.
- Maintain code quality and collaboration standards through Git, GitHub, and GitLab, including CI/CD integration.
- Optimize model performance and resource utilization for production deployment.
- Collaborate with cross‑functional teams to translate research prototypes into production‑ready services.
Requirements
- Strong experience with Machine Learning and Deep Learning techniques, especially multimodal architectures.
- Proficiency in Python and familiarity with major ML frameworks (e.g., PyTorch, TensorFlow).
- Hands‑on experience with Git version control and platforms such as GitHub or GitLab.
- Ability to write clean, maintainable code and implement automated testing and CI/CD pipelines.
- Solid problem‑solving skills and a track record of delivering AI solutions from concept to deployment.
Skills
machine learningdeep learningpython