🚀 We’re Hiring AI/ML Senior Software Engineers – Work with Top US Tech Companies! 🌎
At Softbinator Technologies, we specialize in Team Augmentation Solutions, building high-performing engineering teams for some of the most innovative US tech companies. We work with the latest tech stacks, solving complex challenges and delivering cutting-edge solutions.
Why Softbinator?
✅ 100% Remote – Hiring in Romania, Serbia, Poland and Bulgaria
✅ Work with top-tier US clients on high-impact projects
✅ Latest technologies & modern engineering culture
✅ Autonomy, ownership & the freedom to innovate
✅ A smart, driven team that values collaboration and growth
📌 Some of the things you will do
- Explore and apply Generative AI techniques, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer-based models (e.g., GPT-3, T5), to develop solutions for text generation, data augmentation, and other creative use cases.
- Develop and optimize machine learning models using supervised learning techniques such as regression, classification, Support Vector Machines (SVMs), and decision trees
- Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining using tools like MLflow, Kubeflow, and Azure ML Pipelines
- Strive with complex challenges, uncertainty, legacy code, etc.
📌 With this skills you are a perfect match
- 5+ years of experience as an AI/ML Engineer
- Proficiency in Python and machine learning libraries such as scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face Transformers, NLTK, and SpaCy.
- Deep knowledge and experience working on Large Language Models (LLM), ML, deep learning, sci-kit learn and other frameworks and libraries.
- Understanding of software development architecture, data structures, and data modeling
- Experience with Generative AI models such as GANs, VAEs, and transformers for tasks like text generation and data augmentation.
- Experience with cloud platforms for model deployment, including Azure ML, AWS, or GCP.
- Familiarity with MLOps tools such as MLflow, Kubeflow, and Azure ML Pipelines for tracking, monitoring, and automating ML models.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
📍 Mandatory: Advanced English, Bachelor’s in Computer Science (or related), and strong relevant experience as a Software Engineer.
🚀 Join us and work on game-changing projects
