5 months ago
India (city not specified)Senior
Responsibilities
- Design and build Python agent harnesses for reliable AI-agent perception, reasoning, planning, and action.
- Develop and maintain MLOps pipelines using Kubeflow and complementary tooling for training, evaluation, and deployment.
- Fine-tune foundation LLMs using LoRA/QLoRA, SFT, and RLHF, while managing datasets, training runs, and evaluation pipelines.
- Deploy and operate AI services on Kubernetes, including model serving, autoscaling, and observability.
- Build and integrate AI agents using modern agent frameworks.
- Apply software engineering rigor, including secure coding, static analysis, code reviews, and CI/CD.
- Collaborate with researchers, ML engineers, and product teams to productionize prototypes.
Requirements
- Bachelor’s or master’s degree in Engineering.
- Around 6+ years of Python development experience, including building and supporting production systems.
- Hands-on experience with agent-based or agentic systems and at least one agent framework such as LangGraph, CrewAI, AutoGen, LangChain, or LlamaIndex.
- Experience designing or contributing to MLOps pipelines, including familiarity with Kubeflow.
- Practical experience fine-tuning large language models such as Llama, Mistral, or Qwen.
- Experience deploying containerized applications on Kubernetes, including Helm, operators, networking, and resource management.
- Familiarity with AWS, GCP, or Azure and related compute, storage, identity-access-management, and machine-learning services.
- Understanding of modular design, SOLID principles, design patterns, secure coding, static analysis, and unit and integration testing.
- Preferred experience with distributed training using DeepSpeed, FSDP, or Accelerate.
- Preferred familiarity with vector databases, RAG systems, language-model evaluation frameworks, and model-serving solutions such as vLLM, TGI, KServe, or Triton.
Tech Stack
Categories
About Nokia
Nokia builds telecom network equipment and software—covering mobile (4G/5G RAN and core), IP and optical networking, fixed access, and related services—for communications service providers, enterprises, and governments. The company also conducts advanced research through Nokia Bell Labs. Founded in 1865 and headquartered in Espoo, Finland, Nokia is a public company with global operations and long-standing relationships with major mobile network operators worldwide.