Gen ai

Technical Requirements
Minimum 7  8 years of experience in Data Science and Machine Learning
In depth knowledge of machine learning deep learning and generative AI techniques
Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch
Strong understanding of NLP techniques and frameworks such as BERT GPT or Transformer models
Experience with cloud platforms such as Azure AWS or GCP and deploying AI solutions in a cloud environment
Expertise in data engineering including data curation cleaning and preprocessing
Knowledge of trusted AI practices like fairness transparency and accountability in AI models and systems
Strong collaboration with engineering teams to ensure seamless integration and deployment of AI models
Excellent problemsolving and analytical skills with the ability to translate business requirements into technical solutions
Strong communication and interpersonal skills with the ability to collaborate effectively with stakeholders at various levels
Understanding of data privacy security and ethical considerations in AI applications
Track record of driving innovation and staying updated with the latest AI research and advancements Good to Have Skills
Knowledge andor hands on experience in Cyber domain AI applications
Vulnerability Management tools such as AquaSec Qualys Wiz Check Marx and MS Defender
Knowledge of secure software development lifecycle SSDLC processes
Apply trusted AI practices to ensure fairness transparency and accountability in AI models and systems
Knowledge on DevOps and MLOps practices covering continuous integration deployment and monitoring of AI models
Implement CICD pipelines for streamlined model deployment and scaling processes
Utilize tools such as Docker Kubernetes and Git to build and manage AI pipelines
Implement monitoring and logging tools to ensure AI model performance and reliability Role & responsibilities

Preferred candidate profile