AI/ML Engineer

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