onsite
AI/ML Engineer - Rytsense Technologies
ML Engineer
AI/ML Engineer with 3+ years of experience building and deploying deep learning models, proficient in Python, TensorFlow, PyTorch, and Generative AI techniques such as RAG, LangChain, and LangGraph.
About the role
Key Responsibilities
- Design, develop, and optimize machine learning and deep learning models for production use.
- Preprocess and engineer large datasets using Pandas, NumPy, and other data tools.
- Build and expose model inference services via REST APIs and deploy them on scalable infrastructure.
- Implement and experiment with Generative AI concepts, including Retrieval‑Augmented Generation (RAG) and Agentic AI frameworks.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
Requirements
- 3+ years of professional experience in AI/ML engineering.
- Strong proficiency in Python and deep learning libraries such as TensorFlow and PyTorch.
- Hands‑on experience with data preprocessing, model evaluation, and deployment pipelines.
- Familiarity with REST APIs, LangChain, LangGraph, and Generative AI techniques.
- Solid understanding of data structures, algorithms, and problem‑solving.
Skills
machine learningdeep learningpythontensorflowpytorchgenerative ai