Advanced AI Model Developer

Job DescriptionAbout the RoleWe are seeking an experienced AI/ML Engineer to join our team. As a key member of our organization, you will be responsible for designing, validating, and integrating cutting-edge machine learning models and algorithms.You will collaborate closely with cross-functional teams, including data scientists, to recognize and establish project objectives. You will also oversee data infrastructure maintenance, ensuring streamlined and scalable data operations.Additionally, you will stay updated with advancements in AI and propose their integration for operational enhancement. You will effectively convey detailed data insights to non-technical stakeholders.Your responsibilities will include developing, validating, and implementing machine learning models and algorithms. You will also collaborate with data scientists and other stakeholders to understand and define project goals.Maintenance of data infrastructure and ensuring scalability and efficiency of data-related operations is also part of your role. You will stay abreast of the latest developments in the field of AI/Client and recommend ways to implement them in our operations.Effective communication of complex data findings clearly and understandably to non-technical stakeholders is crucial. Adherence to data privacy and security guidelines is also required.Participation in the entire AI project lifecycle, from concept to deployment and maintenance, is expected.Required SkillsStrong 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 similarExperience with Large language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral etcExperience 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.Experience in LLM integration framework like Llamaindex, Ragas, etcExperience 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