AI / GenAI Developer (Machine Learning & Deep Learning) (WFH)

Asuun Wellness Private Limited is seeking a talented and experienced AI/GenAI Developer to join our dynamic and fast-growing team. If you are passionate about building scalable AI systems, solving complex problems, and contributing to impactful products in the wellness space, wed love to meet you!

We are building next-generation intelligent solutions powered by Artificial Intelligence to transform the wellness ecosystem.

This is WorkFromHome Opportunity.

Role & responsibilities

• Design, develop, and deploy AI/ML models for real-world production use cases
• Build and optimize Deep Learning models using modern frameworks
• Develop and implement Computer Vision solutions (image recognition, object detection, OCR, video analysis, etc.)
• Work on NLP-based systems (chatbots, text classification, summarization, embeddings, semantic search, etc.)
• Build and integrate Generative AI solutions using LLMs (OpenAI, Claude, Gemini, Llama, etc.)
• Fine-tune foundation models and implement RAG (Retrieval-Augmented Generation) architectures
• Optimize models for performance, scalability, and cost efficiency
• Work closely with backend/frontend teams to integrate AI services into production systems
• Implement MLOps best practices (model versioning, monitoring, CI/CD pipelines)
• Stay updated with the latest research and advancements in AI/ML

Preferred candidate profile

• Bachelors or Masters degree in Computer Science, AI, Data Science, or related field
• 2-5+ years of hands-on experience in AI/ML development
• Strong experience with Python and AI frameworks like TensorFlow / PyTorch / Keras
• Solid understanding of Deep Learning architectures (CNNs, RNNs, Transformers)
• Experience in Computer Vision libraries (OpenCV, YOLO, Detectron, etc.)
• Strong knowledge of NLP techniques and transformer-based models
• Experience working with LLMs and Generative AI APIs
• Knowledge of vector databases (Pinecone, Weaviate, FAISS, etc.)
• Familiarity with cloud platforms (AWS / GCP / Azure)
• Understanding of REST APIs and system architecture
• Experience with Docker and deployment pipelines is a plus
• Strong problem-solving skills and ability to work in a fast-paced environment