Artificial Intelligence Developer

1 week ago

dindigul, India beBeeMachineLearningEngineer Full time

Job OverviewWe are seeking a skilled Machine Learning Engineer to design, develop and implement cutting-edge machine learning models and algorithms.The ideal candidate will have hands-on experience in AI/ML and a strong background in computer architecture, data structures, system software and machine learning fundamentals. They will also have experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth and compute.Key Responsibilities:Develop, validate and implement machine learning models and algorithms.Collaborate with data scientists and other stakeholders to understand and define project goals.Maintain data infrastructure and ensure scalability and efficiency of data-related operations.Stay abreast of the latest developments in the field of AI/ML and recommend ways to implement them in our operations.Communicate complex data findings clearly and understandably to non-technical stakeholders.Adhere to data privacy and security guidelines.Participate in the entire AI project lifecycle, from concept to deployment and maintenance.Required Skills:Strong grasp of computer architecture, data structures, system software and machine learning fundamentals.Experience with large language models like GPT 3.5, GPT 4, Llama, Gemini, Mistral etc.Experience with vector databases like Qdrant, ChromaDB, Pinecone, PGVector or similar.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).Experience in training, tuning and deploying ML models for Computer Vision (e.g., ResNet), and/or Recommendation Systems (e.g., DLRM).Experience deploying ML workloads on distributed systems.Self-motivated team player with a strong sense of ownership and leadership.Strong verbal, written and organizational skills for effective communication and documentation.Research background with a publication record.Work experience at a cloud provider or AI compute/sub-system company.Knowledge of cloud computing platforms and services, such as AWS, Azure or Google Cloud.Experience with information security and secure development best practices.Qualifications:Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics or a related field.2-4 years of hands-on experience in AI/ML.

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