�� 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
12 - 15 Years
10 Openings
1.5-2.0 Lac/Yr
Face-to-Face interview
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