AI/Machine Learning Engineer

• Assist in building and maintaining ML and basic Generative AI pipelines (data preprocessing, training, evaluation, and inference).
• Support development of simple RAG-based and NLP workflows under guidance.
• Work on text processing tasks such as data cleaning, parsing, chunking, and embeddings.
• Contribute to backend APIs (e.g., FastAPI) to expose ML/AI functionalities.
• Help integrate AI models into applications and support deployment activities.
• Write clean, modular, and testable Python code following best practices.
• Collaborate with senior engineers and cross-functional teams to deliver features.
• Debug, test, and optimize models and pipelines for performance and reliability.
• Stay updated with basic advancements in AI/ML and Generative AI.

What You Bring

• Bachelor’s degree in computer science, IT, or related field.
• 0–3 years of experience or strong academic/project background in AI/ML.
• Good programming skills in Python and strong problem-solving ability.
• Basic understanding of ML concepts, NLP, and model evaluation.
• Exposure to libraries such as NumPy, Pandas, scikit-learn, or PyTorch/TensorFlow.
• Familiarity with Generative AI concepts (LLMs, prompt engineering, or RAG is a plus).
• Basic understanding of APIs and backend development.
• Exposure to cloud platforms (AWS/Azure) is a plus.
• Knowledge of Git and basic software development practices.
  • Willingness to learn, adapt, and work in a fast-paced environment.