Senior AI/ML Engineer

Job Summary

Key Responsibilities

• Design, develop, and deploy AI/ML models for Computer Vision and NLP applications.
• Work with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Develop and optimize object detection, image classification, and segmentation models.
• Implement NLP techniques such as text classification, named entity recognition (NER), summarization, and sentiment analysis.
• Preprocess and clean large datasets for training and evaluation.
• Fine-tune pre-trained models (e.g., BERT, GPT, ViT, YOLO, DETR) for specific tasks.
• Deploy AI models into production using REST APIs, Flask, FastAPI, or TensorFlow Serving.
• Utilize cloud platforms like AWS, GCP, or Azure for scalable AI/ML solutions.
• Conduct research on state-of-the-art AI advancements and implement innovative solutions.
• Work with Large Language Models (LLMs) like OpenAI s GPT, LLaMA, or Claude.
• Collaborate with cross-functional teams including data engineers, software developers, and product managers.

Required Skills & Qualifications

• Bachelor s/Master s degree in Computer Science, AI/ML, or a related field.
• 4+ years of experience in AI/ML, Computer Vision, and NLP.
• Proficiency in Python and libraries such as NumPy, Pandas, OpenCV, and Transformers.
• Strong experience in deep learning frameworks like TensorFlow, PyTorch, or JAX.
• Hands-on experience in training, fine-tuning, and deploying ML models.
• Experience with cloud platforms (AWS, GCP, or Azure) for AI/ML solutions.
• Solid understanding of MLOps, model deployment, and monitoring techniques.
• Knowledge of database and big data technologies such as SQL, NoSQL, or Spark is a plus.

Preferred Qualifications

• Experience in edge AI or real-time AI applications.
• Familiarity with vector databases and retrieval-augmented generation (RAG).
• Contributions to open-source AI/ML projects or published research papers.