Required Skills and Experience: Five+ years of experience as an AI engineer or similar role, with significant experience in a leadershipand 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 NeuralNetworks (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. Proven experience in leading AI/ML model deployment projects and managing cross-functional teams. Proficiency in Python language Experience in front-end and back-end development, data structuring, and project managementAdditional 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.

We are currently seeking a Technology Lead with a minimum of 5+ years of experience to reinforce our team.The ideal candidate will have a strong foundation in machine learning, including generative AI, will be responsiblefor creating AI models, performing data analysis, developing algorithms, managing the team, driving innovation,and defining architecture.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.