Genai Frontend Lead

Key Responsibilities:Develop, test, and deploy AI models, including those based on Generative AI frameworks.Lead and manage the AI team, fostering a positive and innovative work environment.Define and oversee the implementation of AI architecture.Drive innovation, come up with new ideas and strategies to improve and expand AI capabilities.Collaborate with the team to design AI systems.Troubleshoot and improve current AI systems.Convert business use-cases into technical requirements and implement appropriate algorithms.Keep up-to-date with the latest technology trends.Required Skills and Experience:At least ten years of experience as an AI engineer or similar role, with significant experience in a leadership and architectural role.Proficiency in Python, Node.Js, C#, HTML, and JavaScript.Experience with AI Libraries/Packages such as Scikit-Learn, TensorFlow, Keras, Pytorch, Pandas, NLTK, OpenCV, WebRTC, LangChain, HuggingFace, and Generative AI frameworks.Familiarity with Supervised & Unsupervised Learning, Convoluted Neural Networks, Recurrent Neural Networks (including LSTM), Deep Neural Networks, Progressive Learning, Time-Series Forecasting (including NNs).Experience with deployment frameworks such as Flask, Django, Nginx + Gunicorn, Docker, Kubernetes, SCM (Git), and DevOps (CI/CD).Experience with cloud platforms such as IBM Cloud, AZURE Cloud, Google Cloud, and AWS.Familiarity with Model Ops (AIOps) tools such as Prometheus, MLflow, and Grafana.Additional Skills:Strong problem-solving abilities.Ability to interpret research literature and implement algorithms based on business use-case.Ability to handle multiple competing priorities in a fast-paced environment.Excellent verbal and written communication skills.Proven leadership skills, including the ability to mentor and develop team members.Extensive experience in defining and implementing AI architecture.Educational Qualifications:B.Tech / M. Tech / B. Sc / M. S in Computer Science, Machine Learning or MCA, B Stat (Hons.), B Math (Hons.), M Stat, M Math, MS (QE), MS (QMS).PG Diplomas or Research Fellows in Business Analytics or Operational Research are also welcome.