Artificial Intelligence Specialist
2 weeks ago
Machine Learning EngineerAbout This RoleWe are seeking a skilled Machine Learning Engineer to design, develop, and integrate cutting-edge machine learning models and algorithms. As part of our team, you will collaborate closely with cross-functional teams to drive project objectives forward.Key ResponsibilitiesDesign, implement, and validate machine learning models and algorithms to drive business outcomes.Work collaboratively with data scientists and other stakeholders to define project goals and ensure successful project delivery.Maintain and improve data infrastructure to ensure scalability and efficiency of data-related operations.Stay up-to-date with the latest developments in AI and ML, and propose ways to implement them in our operations.Communicate complex data findings clearly and understandably to non-technical stakeholders.Ensure adherence to data privacy and security guidelines.Participate in the entire AI/ML project lifecycle, from concept to deployment and maintenance.Required SkillsStrong understanding of computer architecture, data structures, system software, and machine learning fundamentals.Experience with NLP models (BERT and GPT) 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 designing, building, and optimizing agentic AI workflows that enable autonomous reasoning, decision-making, and tool interaction using frameworks like LangChain, LangGraph, CrewAI, etc.Experience in implementing and fine-tuning Generative AI solutions (e.g., LLMs, multimodal models) for various business use cases.Experience with ML Models from definition to deployment, including training, quantization, sparsity, model preprocessing, and deployment.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.QualificationsBachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.2-4 yrs of hands-on experience in AI/ML.
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