AI-ML Engineer
Core
Design, develop, and productionize intelligent systems powering an AI Core SaaS platform using the complete AI lifecycle from data collection to model deployment and monitoring.
Role type
Senior IC AI/ML Engineer (SaaS)
Builds
Scalable AI solutions, end-to-end ML/DL pipelines, and production inference APIs for an AI Core SaaS platform.
Domain
Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, SaaS
Deliverable
production ML models
Required skills
Python, NumPy, Pandas, Scikit-learn, SQL, Machine Learning algorithms, Deep Learning frameworks (PyTorch, TensorFlow), NLP, Transformers, LLMs, Embeddings, RAG, Computer Vision, MLOps, Azure ecosystem, Git, Docker, CI/CD
Preferred skills
PySpark, Databricks, Kafka, Kubernetes, GPU computing, distributed model training, vector databases, AI agents, LLM fine-tuning, LoRA/PEFT, model optimization, quantization, inference optimization, multi-tenant AI platforms
Technologies
MLflow, Azure ML, Docker, Kubernetes, PySpark, Databricks, Kafka, Cosmos DB, Blob Storage, Data Factory
Responsibilities
Develop and manage end-to-end AI/ML pipelines; Design, train, fine-tune, and optimize ML/DL models; Work with multimodal data including text, images, and documents; Apply mathematical concepts including Linear Algebra, Probability, Statistics, and Optimization; Build Generative AI, NLP, and multimodal AI capabilities; Productionize AI models and services; Build scalable batch and real-time inference pipelines; Monitor model performance and data drift; Collaborate with Data Engineering, Software Engineering, and Product teams; Research and integrate emerging AI/ML technologies.
Seniority
Senior, hands-on IC