About the Role
Job Responsibility:
● Lead the design and implementation of ML and NLP solutions from concept to production
● Fine-tune and optimize large language models (LLMs) and transformer-based architectures
● Design and maintain ML pipelines (training, validation, deployment, monitoring)
● Hands-on experience with: ○ Python (NumPy, Pandas, Scikit-learn) ○ PyTorch or TensorFlow ○ Hugging Face Transformers
● Architect, design, and implement high-performance backend services and APIs.
● Collaborate with frontend teams, DevOps, and stakeholders to ensure seamless integration of backend services.
● Integrate vector databases (e.g., Pinecone, Weaviate, FAISS) for optimized data retrieval and similarity search in AI/ML applications
● Work with large language models (LLMs) like GPT, BERT, or custom-trained models to build AI- powered solutions, including chatbots and intelligent search engines.
● Drive best coding practices, including un...
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