Solutions | IT Consulting Professional

4 - 10 years

30 - 35 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • " Design, build, and deploy supervised, unsupervised, and deep learning models.

  • " Own end-to-end NLP workflows: pre-processing, training, evaluation, fine-tuning.
  • " Hands-on experience in building and deploying models using Sentence Transformers for semantic embeddings and integrating FAISS or Qdrant for scalable vector similarity search and retrieval.
  • " Strong understanding of handling limited data scenarios using data augmentation strategies and Monte Carlo simulation techniques to improve model robustness and accuracy.
  • " Architect models for NER, relation extraction, intent classification, and LLM-based generation like Mistral, LLama etc.
  • " Integrate ML models with production-grade APIs and Flask/FastAPI endpoints.
  • " Expertise in Linux/Windows-based ML environments and managing dependencies and virtual environments (venv, conda, pip).
  • " Work with MLOps best practices: model versioning, reproducibility, monitoring, and rollback strategies.
  • " Optimize models for speed/memory, leveraging techniques like quantization, ONNX, or TorchScript.
  • " Deploy and manage machine learning models on cloud platforms using services like ML pipelines, object storage, serverless functions, and container orchestration tools.
  • " Understanding of Azure Pipelines, Docker, Kubernetes (AKS) if required.
  • " Understanding of GPU/CPU resource allocation, model parallelization, and scaling.
  • Design, build, and deploy supervised, unsupervised, and deep learning models.

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