
AI/ML Model Optimization Specialist
1 week ago
**Key Responsibilities:
- Develop and optimize large language models (LLMs) to improve their performance on various tasks such as text generation, summarization, and code generation.
- Design and implement GenAI solutions that integrate with RAG pipelines for efficient model deployment.
- Work on developing and optimizing machine learning (ML) models using classical and deep learning techniques.
- Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate for enhanced data retrieval.
- Optimize and fine-tune LLMs for domain-specific use cases, leveraging experience with models such as OpenAI GPT, LLaMA, Mistral, and Falcon.
- Develop scalable data pipelines for training, validation, and inference to ensure seamless model deployment.
- Collaborate with cross-functional teams to integrate AI models into production applications and deliver high-quality results.
**Required Skills & Qualifications:**
- At least 3 years of experience in AI/ML development, with a strong focus on LLMs and GenAI.
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Hands-on experience working with vector databases and ML algorithms, including knowledge of NLP techniques.
- Familiarity with cloud platforms such as AWS, GCP, or Azure for AI/ML model deployment.
- Experience with LangChain or LlamaIndex is a plus, but not required.
- Strong problem-solving skills and the ability to work in a fast-paced environment are essential.
This role offers an exciting opportunity to work with cutting-edge AI technologies and collaborate with a talented team to drive innovation and growth. If you have a passion for AI/ML and a strong desire to learn and grow with our company, we encourage you to apply for this position.
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