Job Summary :
We are looking for a talented AI Engineer with 3 to 7 years of experience in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Python, and cloud platforms. The candidate will work closely with cross-functional teams to build intelligent applications and optimize AI models for production.
Key Responsibilities :
- Design, develop, and deploy AI/ML models for business applications.
- Build and optimize Generative AI and LLM-based solutions.
- Fine-tune and evaluate Large Language Models (LLMs).
- Develop AI-powered chatbots, virtual assistants, and intelligent automation solutions.
- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.
- Develop data preprocessing and feature engineering pipelines.
- Integrate AI models with REST APIs and enterprise applications.
- Deploy AI models using Docker, Kubernetes, and cloud platforms.
- Monitor model performance and continuously improve accuracy.
- Collaborate with data scientists, software engineers, and business stakeholders.
- Follow MLOps best practices for model deployment, monitoring, and versioning.
Mandatory Skills :
- Strong proficiency in Python
- Machine Learning (Scikit-learn)
- Deep Learning (TensorFlow or PyTorch)
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- LangChain or LlamaIndex
- Retrieval-Augmented Generation (RAG)
- Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate, Milvus)
- NLP (Natural Language Processing)
- OpenAI, Azure OpenAI, Claude, Gemini, or Hugging Face Models
- REST API Development (FastAPI/Flask)
- SQL and NoSQL Databases
- Docker and Kubernetes
- Git/GitHub
- AWS, Azure, or Google Cloud Platform
SysMind