Senior AI/ML Engineer for AI Model Development, Agent orchestration and Deployment
Budget: $3.0 - $60.0
HOURLY / PART_TIME
⭐ 0.00 (0)
India
python, machine-learning, artificial-intelligence, tensorflow, artificial-neural-networks, deep-learning, natural-language-processing, neural-networks, data-science
We are seeking a highly autonomous Senior AI/ML Engineer to build, orchestrate, and deploy production-ready AI systems. You will be responsible for end-to-end development, from fine-tuning models to building complex multi-agent workflows and handling scalable cloud deployments.
**Key Responsibilities:**
* Fine-tune and evaluate open-source/proprietary LLMs.
* Build and manage multi-agent workflows and RAG pipelines.
* Optimize models for fast, cost-effective inference (e.g., vLLM, TensorRT).
* Manage MLOps, containerization (Docker/K8s), and cloud deployments (AWS/GCP/Azure).
**Required Skills:**
* 5+ years Software Engineering, 3+ years in AI/ML production.
* Expert in Python; solid experience with PyTorch and FastAPI.
* Deep knowledge of agentic frameworks (LangChain, LangGraph, CrewAI, or AutoGen).
* Experience with Vector databases (Pinecone, Qdrant, pgvector) and AI APIs.
* Strong MLOps background (CI/CD, model serving, cloud infrastructure).
**How to Apply:**
Please start your proposal with the word "ORCHESTRATOR" and include:
1. Details of 1-2 relevant LLM/multi-agent systems you have deployed to production.
2. The tech stack used for those projects.
3. Your weekly availability.
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