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)
🏢 Acme Services Private
📍 Mumbai