Principal AI Engineer

1 day ago

Delhi, Delhi, India Aays Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Position: Principal AI Engineer

Experience: 8+years

Your Role


• Play an instrumental and influential role in driving Generative AI vision, strategy, and architecture.


• Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems.


• Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA.


• Establish reusable frameworks to streamline model building, deployment and monitoring. Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms.


• Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases


• Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques


• Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications


• Contribute to and promote good software engineering practices across the team.

Your expertise


• A master's degree or Ph.D in Computer Science, Artificial Intelligence, Machine Learning or a related field
• Proven experience in leading AI projects from conception to deployment in a consultancy or start-up environment


• Extensive knowledge of machine learning algorithms, data modelling and simulation techniques


• Proficiency in of the Cloud (Azure, GCP, AWS)


• Strong leadership skills with a proven track record of mentoring and developing talent


• Excellent communications skills, capable of conveying complex AI concepts to non technical stakeholders
• A strategic thinker with a passion for problem-solving and innovation

SME in statistics, analytics, big data, data science, machine learning, deep learning, cloud, mobile, and full stack technologies.


• Hands-on experience analysing large amounts of data to derive actionable insights.


• Working knowledge on traditional statistical model building (Example: Regression, Classification, Time series, Segmentation etc.), machine learning( Random forest, Boosting algos, SVM, KNN etc), deep learning(CNN, RNN, LSTM, Transfer learning) and NLP( Stemming, Lemitization, Named entity extraction, Latent semantic analysis etc).


• Experience in tensorflow, Pytorch, Pytorch Lightning, etc, hugging Face, etc Aays Analytics |


• Ability to Pretrained transformers models, LLM, etc using Pytorch/Tensorlfow/Hugging Face using CPU/GPU. Aays Analytics |

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