AI/ML Architect

About the job

The ideal candidate will be a qualified architect who is able to construct clear diagrams using AutoCAD. This candidate should have an in-depth knowledge of all steps related to project completion and diligently communicate with necessary people to ensure timely execution. This candidate should also be able to conduct quality assurance checks on a frequent basis in order to ensure regulations are ... being followed. Must Have • Deeper understanding of modern technologies including Cloud-native, APIs, LLM, AI and ML…preference is with Google Tech • Understand client requirements and translate into ML problem. • Must have experience of working in at least two of the Transformer models like BERT, GPT-2, Roberta or other LLMs like Llama, Falcon, GPT-3 • Must have experience of evaluating and benchmarking LLMs for various business needs. • Must have experience of large scale data (text/image) processing (data cleaning, data preparation, training and deploying) using GCP technologies. • Must have experience of working in Tensorflow / PyTorch, Scikit, Pandas, Numpy. • Experience of working with inters disciplinary teams Data Scientist, Machine Learning Engineers and Business Analyst. • Technically leads proof of concepts to ensure feasibility of architecture solutions • Deep understanding and working experience on advanced analytics, AI algorithms and Machine Learning techniques • Experience in C/C++, CUDA and Python programming (software design skills, including debugging, performance analysis) • Working knowledge of AWS or Azure or GCP cloud ecosystems • Knowledge of the current state of infrastructure automation, continuous integration/deployment, SQL/NoSQL, security, networking, and cloud-based delivery models • Solid knowledge on solutioning with Non-Functional-Requirements Good to have • Experience in areas of data, AI and automation strategy and solutioning for enterprises • Experience in Data Platform and Enterprise Data Warehouse technologies • Exposure to concept of Data Parallelism and Model parallelism • Good knowledge of Kubernetes, GKE, Containers • Good exposure to Vertex AI / Sagemaker.