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: Solid 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

📌 Ai/ml Engineer Mumbai (India)
🏢 Acme Services Private
📍 India