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

Robust 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

📌 Gen ai (Bengaluru)
🏢 Pracyva Consulting Services
📍 Bengaluru