Machine Learning Engineer - LLM

Responsibilities :

- Take full ownership of ML projects from conception to delivery.

- Collaborate across product, research, and engineering teams to solve technical challenges.

- Build, train, evaluate, deploy, and monitor models in production.

- Work with LLM tools and techniques, including prompt engineering.

- Apply NLP and CV frameworks such as PyTorch, NLTK, spaCy, etc.

- Contribute to improving data pipelines, model optimization, and scalability.

- Continuously research and implement cutting-edge AI advancements.

- Ensure models meet performance, accuracy, and ethical standards.

Requirements :

- 1-2 years of hands-on experience building ML/DL models, especially using LLMs.

- Strong coding and problem-solving aptitude with autonomy and initiative.

- Team-player mindset with cross-functional collaboration.

- Proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch.

- Understanding of data preprocessing, feature engineering, and model evaluation metrics.

- Bachelors or Masters degree in Computer Science, AI, Data Science, or related field.