Design, build, and deploy Hyperscalers-based (Azure, AWS, GCP or Databricks) ML models, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics Expert
Implementation of Generative AI models for business solutions and experience on Azure Open AI, AWS Bedrock or Vertex AI or open-source models Expert
Python programming with robust code Expert
Developing a framework or generic pipeline to retrieve, optimize, and deploy Open-Source Models Expert
Familiarity with deep learning, machine learning and frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.) Working knowledge
Invent, research, envision, design, solution and deliver AI/ ML applications at scale delivering measurable value
Build end-to-end AI/ ML solutions: Develop, refine, implement, customize and deploy state-of-the-art Machine Learning algorithms and systems, and AI models
Designing, developing, and researching Machine Learning systems, models, and schemas through data science and data analytics prototypes.
Continuous learning Certifications.
Incubation mindset Research oriented, ability to deliver quick POC's, and come up with ideas.
Communication and Documentation Ability to share knowledge, conduct presentations and sessions, talk to clients and stakeholders, write good-quality technical documentation.
