�� exposure in implementation of generative ai models utilizing platforms like but not limited to azure openai, vertex ai, aws bedrock
�� collaborate with cross-functional teams to define ai project requirements and objectives, ensuring alignment with overall business goals.
�� conduct research to stay updated with the latest advancements in generative ai, machine learning and deep learning techniques, and identify opportunities to integrate them into products and services.
�� proficient in python and have exposure with machine learning libraries such as tensorflow, pytorch, keras, and frameworks like flask, django
�� exposure with natural language processing (nlp) techniques and library/tools such as spacy, nltk, or hugging face
�� optimization of existing generative ai models for improved performance, accuracy, and efficiency
�� development and maintenance of ai pipelines, including data preprocessing, feature extraction, model training, and evaluation.
�� exposure of cloud-based platforms and services, such as aws, azure, and gcp
�� willing to explore new within technologies and implement the same.
�� knowledge of software development methodologies such as agile scrum
�� create documentation, including technical specifications, user guides, and presentations, to communicate complex ai concepts to both technical and non-technical stakeholders.
�� contribute to the establishment of best practices and standards for implementation of generative ai models.
�� provide technical mentorship and guidance to junior team members.
�� strong communication & interpersonal skills