We are looking for a passionate and proactive Junior Machine Learning (ML) Developer to support the development of cutting-edge AI applications and intelligent systems. In this role, you will work closely with senior developers and ML engineers to build, deploy, and improve machine learning models and integrate large language model (LLM) APIs from providers like OpenAI and Anthropic into scalable products. This position is ideal for someone looking to grow their ML and software development skills in a collaborative and fast-paced environment.
Responsibilities
- Design, build, and maintain scalable and efficient machine learning models for real-world applications.
- Integrate LLM APIs (e.g., OpenAI, Anthropic) into internal platforms, tools, and user-facing applications.
- Write clean, efficient, and well-documented Python code following best practices.
- Use popular ML libraries such as PyTorch, TensorFlow, and scikit-learn for model development, training, and evaluation.
- Perform data preprocessing, feature engineering, and exploratory data analysis.
- Collaborate in designing ML pipelines and deploying models into production environments.
- Explore and evaluate emerging tools and frameworks in the LLM and generative AI space (e.g., LangChain, Hugging Face Transformers, LlamaIndex).
- Debug and optimize ML systems for performance and scalability.
- Work with REST APIs and manage data in structured formats (e.g., JSON).
- Participate in code reviews, technical documentation, and sprint planning.
- Assist in setting up and managing model deployment.