Machine Learning Engineer
5 days ago
Machine Learning Engineer
Key Responsibilities
Design, develop, and optimize end-to-end AI/ML pipelines, including data preprocessing, model training, evaluation, and deployment.
Build, fine-tune, and implement custom neural networks, LLMs, NLP models, and Computer Vision applications using PyTorch.
Collaborate with software engineers, product teams, and stakeholders to deliver scalable, secure, and high-performance AI solutions.
Deploy production-ready AI models through FastAPI or cloud-based inference engines.
Required Qualifications
2–4 years of experience in AI/ML engineering or a related role.
In-depth knowledge of ML/AI frameworks (especially PyTorch).
Strong expertise in NLP, LLMs, and Computer Vision.
Proven track record of building and deploying production-grade AI/ML pipelines.
Hands-on experience with Generative AI applications.
Proficiency in Python and web frameworks (FastAPI, Flask).
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
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