Machine Learning Engineer

Key Responsibilities:

• Design and implement LLM solutions for text generation, summarization, classification, and extraction.
• Automate workflow script generation using LLM pipelines.
• Fine-tune LLMs (e.g., GPT, LLaMA) with domain-specific data using Ollama, LoRA/QLoRA.
• Optimize LLMs for speed, accuracy, and efficiency (quantization, pruning).
• Integrate LLMs into applications with focus on usability and performance.
• Collaborate cross-functionally to deliver ML solutions.
• Develop APIs/microservices for model deployment and monitor performance.
• Stay updated on LLM advancements and propose innovations.

Minimum Qualifications:

• 4+ years in ML/NLP, specializing in LLMs (Bachelor s/Master s in CS, AI, or related).
• Expertise in prompt engineering, RAG, and vector databases (Pinecone, FAISS).
• Proficient in Python, ML/NLP libraries (HuggingFace, PyTorch, LangChain).
• Hands-on LLM fine-tuning and deployment (Ollama, local models).
• Model optimization for production; strong in REST APIs and software engineering.

Nice to Have:

• Containerization (Docker), orchestration (Kubernetes).
• Frontend/backend experience for LLM-powered apps.