Machine Learning Developer

3 - 6 years

4 - 8 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Description


   About Capgemini 
 Role Overview 
As a Mid-Level Machine Learning Engineer, youll develop, deploy, and optimize AI models in production environments. Youll collaborate with senior engineers, work on advanced ML systems, and solve complex AI challenges. 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 
  • Bachelors/Masters in Computer Science, Data Science, AI, or related fields.
  • 69 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.

  •  What You'll Love About Working Here 

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