Machine Learning Developer (NM+)
Capgemini
|
38 days ago
|
Bangalore
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.
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