Senior AI Engineer

As a Senior AI Engineer, your role involves designing, building, and maintaining scalable AI/ML systems and pipelines. Your responsibilities will include: - Designing, building, and maintaining scalable AI/ML systems and pipelines. - Deploying and serving models efficiently using frameworks like TensorFlow Serving, TorchServe, or custom APIs. - Collaborating with data scientists, MLOps, and product teams to bring models into production. - Optimizing inference latency, memory usage, and model throughput for real-time and batch applications. - Building evaluation frameworks and monitoring tools to ensure model accuracy and stability post-deployment. - Researching and implementing state-of-the-art models (LLMs, CV, NLP, etc.) tailored to business needs. - Integrating AI capabilities into end-user products with attention to UX and system reliability. Qualifications required for this role: - Strong programming skills in Python (knowledge of Go, Java, or C++ is a plus). - Solid foundation in machine learning, deep learning, and AI system design. - Experience with AI orchestration frameworks. - Proficiency in containerization (Docker), orchestration (Kubernetes), and cloud services (AWS/GCP/Azure). - Experience deploying models via REST/gRPC APIs, and optimizing them for production. - Familiarity with versioning, reproducibility, and scalable model retraining pipelines. - Experience with large language models (LLMs), vector databases (Pinecone, FAISS), or retrieval-augmented generation (RAG). - Contributions to open-source AI projects. - Knowledge of data engineering and ETL pipelines. This role provides you with an opportunity to work at the intersection of research and engineering, taking AI models from notebooks to real-world applications. Join in the journey of building and deploying cutting-edge AI/ML systems in production.,