
Software Developer with Machine Learning Focus
6 days ago
We are a SaaS company specializing in AI-driven chatbot solutions that enhance customer service for businesses worldwide. Our platform uses advanced machine learning and natural language processing (NLP) to deliver personalized and efficient customer interactions.
Job SummaryThis is an exciting opportunity for a skilled Backend & Machine Learning Engineer to join our Product team. You will research, develop, and improve our AI-driven platform, ensuring it remains at the forefront of technology and user experience.
In this role, you will work on backend development and machine learning features, particularly in large language models (LLMs) and NLP applications. Your responsibilities will include:
- Developing and maintaining clean and maintainable code for backend services.
- Researching and implementing NLP and LLM-based models for chatbot optimization.
- Fine-tuning, deploying, and optimizing large language models (LLMs) for real-world applications.
- Engaging in all stages of the feature development cycle, from ideation to deployment.
- Collaborating with cross-functional teams to integrate AI capabilities into our platform.
- Ensuring scalability and performance of AI-driven solutions.
- Staying updated with the latest advancements in machine learning and NLP.
To be successful in this role, you will need:
- 3+ years of experience in backend development.
- Strong proficiency in Python and Django; experience with Node.js or Elixir is a plus.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Hands-on experience with NLP techniques, including text classification, named entity recognition, and sentiment analysis.
- Familiarity with LLMs, their fine-tuning, deployment, and optimization.
- Experience with SQL/NoSQL databases like PostgreSQL or MongoDB.
- Understanding of scalability and performance considerations for AI applications.
- Familiarity with cloud platforms (GCP, AWS, or Azure) and deployment tools like Docker and Kubernetes.
We use a range of technologies including:
- Python with Django
- Node.js
- React with TypeScript
- PostgreSQL, MongoDB
- TensorFlow, PyTorch, Hugging Face
- Elasticsearch
- Google Cloud Platform (GCP)
You can expect a dynamic and supportive work environment with opportunities for growth and professional development. We offer a competitive salary and benefits package, as well as the chance to work on cutting-edge AI projects.
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