01Responsibilities
Position: AI/ML Engineer / Manager
Experience: 8-12 Years
Location: Mumbai
Type: Full Time
Certifications: NA
About the Role
We are seeking an experienced Data Scientist (AI/ML) with over 8-12 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. This is a position with hybrid work environment, providing flexibility and collaboration opportunities. The successful candidate will play a pivotal role in shaping and leading AI/ML initiatives within our organization.
Advanced proficiency in Python.Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniquesExperience with big data processing using Spark for large-scale data analyticsVersion control and experiment tracking using Git and MLflowSoftware 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 architectu