Junior AI Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

Advanced proficiency in Python.
Extensive experience with LLM frameworks (Hugging Face Transformers LangChain) and prompt engineering techniques
Experience with big data processing using Spark for large-scale data analytics
Version control and experiment tracking using Git and MLflow
Software Engineering & Development: Advanced proficiency in Python familiarity with Go or Rust expertise in microservices test-driven development and concurrency processing.
DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform CloudFormation) CI/CD pipelines (GitHub Actions Jenkins) and container orchestration (Kubernetes) with Helm and service mesh implementations.
LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI model quantization techniques and vector database management.
MLOps & Deployment: Utilization of containerization strategies for ML workloads experience with model serving tools like TorchServe or TF Serving and automated model retraining.
Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS GCP Azure) and network security for ML systems.
LLM Project Experience: Expertise in developing chatbots recommendation systems translation services and optimizing LLMs for performance and security.
General Skills: Python SQL knowledge of machine learning frameworks (Hugging Face TensorFlow PyTorch) and experience with cloud platforms like AWS or GCP.
Experience in creating LLD for the provided architecture.
Experience working in microservices based architecture.

Job Description: Advanced proficiency in Python. Extensive experience with LLM frameworks (Hugging Face Transformers LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using G...