Software Engineer - Machine Learning
Core
Lead the end-to-end ML lifecycle from data collection to model deployment, focusing on deep learning, NLP, and generative AI applications.
Role type
Senior Machine Learning Engineer (NLP & Generative AI)
Builds
Search/recommendation systems, generative AI applications, conversational AI solutions
Domain
Internet Technology, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, MLOps, NLP, LLMs, prompt engineering, statistical analysis, system design (via careerplan.io/jobs/5c6e66ad-039a-4cb5-9f7e-04544b77d568-software-engineer-machine-learning-at-advansys)
Preferred skills
Java, Scala, Docker, Kubernetes, AWS, GCP, Azure
Technologies
TensorFlow, PyTorch, scikit-learn, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and implement end-to-end ML pipelines with MLOps best practices; Apply deep learning and NLP techniques to enhance search or recommendation engines; Utilize LLM knowledge to build advanced generative AI and conversational AI solutions; Perform comprehensive data analytics and feature engineering; Write production-quality, robust code in Python; Collaborate with cross-functional teams to translate business requirements into technical ML solutions.
