Machine Learning Architect

5 days ago

vellore, India beBeeArtificial Full time

Job DescriptionThe key to success lies in designing, validating and integrating cutting-edge machine learning models and algorithms.Collaborating closely with cross-functional teams including data scientists is crucial in recognizing and establishing project objectives.We are looking for a talented individual who can work effectively as part of our team.Developing, validating and implementing machine learning models and algorithms.Collaborating with data scientists and other stakeholders to understand and define project goals.Maintaining data infrastructure and ensuring scalability and efficiency of data-related operations.Staying up-to-date with the latest developments in the field of AI/ML and proposing ways to implement them in our operations.Communicating complex data findings clearly and understandably to non-technical stakeholders.Adhering to data privacy and security guidelines.Participating in the entire AI project lifecycle from concept to deployment and maintenance.Core Responsibilities:Our ideal candidate will be responsible for developing, validating and implementing machine learning models and algorithms. They will collaborate closely with cross-functional teams to recognize and establish project objectives. Additionally, they will maintain data infrastructure and ensure scalability and efficiency of data-related operations.Required Skills and Qualifications:To succeed in this role, you will need:A strong grasp of computer architecture, data structures, system software and machine learning fundamentals.Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth and compute.Experience with Vector databases like Qdrant, ChromaDB, Pinecone, PGVector or similar.Experience with Large language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral etc.Experience in design, build and optimization of agentic AI workflows that enable autonomous reasoning, decision-making and tool interaction using frameworks like LangChain, LangGraph, CrewAI, etc.Experience in implementation and fine-tuning Generative AI solutions (e.g., LLMs, multimodal models) for various business use cases.Proficiency in Python development in a Linux environment and using standard development tools.Experience with deep learning frameworks (such as PyTorch, Tensorflow, Keras, Spark).Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).Research background with a publication record.Work experience at a cloud provider or AI compute/sub-system company.Benefits:As a member of our team, you will have the opportunity to work on cutting-edge projects and develop your skills in AI and machine learning. You will also receive regular feedback and support to help you grow in your career.Others:Join us and contribute to shaping the future of AI and machine learning

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