Machine Learning Developer

Key Responsibilities

• Build and fine-tune ML and deep learning models using TensorFlow, PyTorch, Hugging Face.
• Optimize LLMs with LoRA, QLoRA, and PEFT techniques.
• Integrate Graph Databases (Neo4j, TigerGraph) and Vector Databases (Pinecone, Weaviate, Milvus, FAISS, ChromaDB).
• Design neural architectures like Transformers, GANs, Diffusion Models.
• Develop NLP, retrieval systems, and multimodal AI solutions.

Your Profile

• Bachelor’s/Master’s in Computer Science, Data Science, AI, or related fields.
• 6–9 years in ML, Generative AI, NLP, or graph-based AI.
• Strong Python skills and ML libraries (NumPy, Pandas, Scikit-learn).
• Hands-on LLM fine-tuning and multimodal AI experience.
• Knowledge of cloud-based ML deployment and MLOps practices.

Primary Skills

• Multimodal AI techniques (text, images, etc.).
• Continuous deployment and monitoring of AI models.