
Cutting-Edge AI Model Designer
1 week ago
Job Title: Natural Language Processing Engineer
">We are seeking a skilled Natural Language Processing (NLP) Engineer to join our team. As an NLP Engineer, you will be responsible for designing and developing cutting-edge AI models that can process and analyze large amounts of human language data.
">The ideal candidate should have a strong background in machine learning and deep learning techniques, with experience in working with large datasets and complex algorithms. You should also be proficient in programming languages such as Python and TensorFlow, and have a good understanding of software development principles.
">Key Responsibilities:
">- ">
- Fine-tune and train Large Language Models (LLMs), Small Language Models (SLMs), and Vision Language Models (VLMs) using frameworks like Hugging Face, PyTorch, or TensorFlow">
- Work on integrating LLMs with embeddings, transformers, and vector databases">
- Build and manage MLOps pipelines and scalable data engineering workflows">
- Apply techniques such as prompt tuning, prompt chaining, and agent-based approaches for solving real-world use cases">
- Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions">
- Deploy and monitor models in production environments">
- Perform POCs and implement the best architectural choices for model deployment">
Requirements:
">- ">
- 4+ years of hands-on experience in AI/ML engineering">
- Proficient in at least 4–5 of the following:">
- ">
- Fine-tuning LLMs/SLMs/VLMs using Hugging Face, PyTorch, TensorFlow">
- Embeddings, Transformers">
- Vector databases (e.g., FAISS, Pinecone)">
- Prompt engineering (prompt tuning, chaining, agent-based models)">
- MLOps & Data Engineering workflows">
- Strong Python programming skills">
- Experience in model deployment and performance optimization">
- Solid understanding of NLP and/or multimodal AI systems">
- Location: Bangalore (Hybrid mode)">
Technical Skills:
">- ">
- Fine-tuning, LLMs, SLMs, VLMs, HuggingFace, PyTorch, TensorFlow, Embeddings, Transformers, VectorDBs, FAISS, Pinecone, MLOps, CI/CD, Deployment, Monitoring, DataOps, ETL, Prompting, Prompt-Tuning, Prompt-Chaining, Agents, Evaluation, Optimization, Python, APIs">
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