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As a Machine Learning Engineer, you will be responsible for creating machine learning models and retraining systems. You will work closely with AI Architects, Cloud Engineers, and a CRM Development Team, such as Salesforce. Your role will involve working with GenAI models like Gemini, GPT4, and others, as well as traditional machine learning models from the NLP/Deep Learning discipline.
The ideal candidate for this role is a tech-savvy professional with an in-depth understanding of machine learning models and technologies. A key part of your role will be evaluating models and maintaining ethical responsibilities. They must be able to work collaboratively with a diverse team and have a solution-oriented mindset. They should also have a strong commitment to maintaining ethical standards in their work.
Bachelor Of Technology (B.Tech/B.E), Masters in Technology (M.Tech/M.E)
Job ID: 153589505
Skills:
.NET, media foundation , Apis, Electron, Wpf, Computer Vision, Qt, Tensorflow, Machine Learning, Opencv, Ffmpeg, Cuda, Pytorch, Artificial Intelligence, Python, Gstreamer, ONNX, Vulkan, SDKs, DirectML
Skills:
Tensorflow, Software Architecture, Jax, MLops, Apache Beam, Python, Google BigQuery, Scikit-Learn
Skills:
Deep Learning, Tensorflow, Numpy, Machine Learning, Pandas, AWS, Pytorch, Azure, Nlp, Generative AI, LLMs, Agents, Graph Analytics, Scikit-Learn, RAG
Skills:
Rust, Numpy, Opencv, Pandas, Pytorch, Tensorflow, Python, Scipy, Neo4j, scikit-learn, ArangoDB, LlamaIndex, Kubeflow, Vector DBs, Langchain, MLFlow
Skills:
data engineering , Machine Learning, MLops, Programming, AI ML, Python