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.
Additional Responsibilities : SKILLS - GOOD TO HAVE:
Linux shell-scripting
Multilingual NLP
Technical and Professional Requirements :
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
Preferred Skills : Technology->Open System->Shell scripting,Technology->Open System->Linux,Technology->Agile Management->Agile Management Tools->JIRA,Technology->Big Data->Natural language processing(NLP),Technology->Machine Learning->TensorFlow,Technology->Cloud Platform->GCP Core Services->GCP,Technology->Internet of Things (IOT)->IOT Analytics - Deep Learning,Technology->Databases->OpenSource Database,Technology->Cloud Platform->AWS Networking Services->AWS Route53,Technology->Machine Learning->Generative AI,Technology->Machine Learning->AI/ML Solution Architecture and Design->traditional ai ml,Technology->Machine Learning->Model Deployment Educational Requirements : Diploma of Information Tech,Master of Computer Science,PhD of Computer Science Service Line : Global Delivery