AI/ML - Senior Software Engineer

🚀 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