Machine Learning Engineer

Machine Learning EngineerKey ResponsibilitiesDesign, 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 Qualifications2–4 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.