We are looking for a hands-on AI / Machine Learning Engineer who can design, build, and deploy intelligent systems using contemporary ML and LLM-based architectures. You will work closely with product, engineering, and business teams to deliver scalable AI solutions for real-world use cases.

This role is ideal for someone who enjoys both research + production engineering, and has experience taking models from experimentation to deployment.

Key Responsibilities
Design, develop, and deploy machine learning and AI solutions for production use
Build and optimize LLM-based systems (RAG, agents, prompt pipelines)
Develop data pipelines for training, fine-tuning, and inference:
Implement vector search, embeddings, and retrieval systems:
Evaluate model performance and continuously improve accuracy and latency
Work with backend engineers to integrate AI services via APIs
Write clean, scalable, and well-documented code
Stay updated with the latest advancements in AI/ML and LLMs

Required SkillsCore
Solid proficiency in Python:




Solid understanding of Machine Learning fundamentals (supervised, unsupervised, evaluation metrics)
Experience with deep learning frameworks: PyTorch or TensorFlow
Experience building REST APIs (FastAPI / Flask)

LLM & AI Systems
Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.)
Experience with RAG architectures:
Vector databases:Chroma, Pinecone, Weaviate, FAISS:
Prompt engineering and structured outputs (JSON / schemas)

Data & Infra
Experience with SQL / NoSQL databases:
Familiarity with cloud platforms (AWS / GCP / Azure)
Understanding of model deployment, monitoring, and scaling:
Experience with Docker (preferred)

Positive to Have
Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks:
Experience with multi-agent systems:
Familiarity with ML observability tools (Langfuse, LangSmith, Weights & Biases)
Knowledge of NLP, computer vision, or recommendation systems:
Experie

📌 Ai Engineer Surat
🏢 Mindlytic AI
📍 Surat