Techversant Infotech

Description :Whats important to us :Techversant is seeking a highly skilled and experienced AI/ML Lead to lead the design and implementation of our artificial intelligence and machine learning solutions.The successful candidate will work closely with cross-functional teams to understand business requirements and develop scalable, efficient, and robust AI/ML systems.Job Description :- As a AI/ML Lead, you will need to build Solutions based on Deep learning, Reinforcement learning, Computer vision, Expert system, Transfer Learning, NLP, and generative models.- To Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures.- Implement machine learning algorithms in services and pipelines that can be used on a web scale.- Create demos and proofs of concept, develop AI/ML based products and services.- Creating Functional and technical specifications for AI & ML solutions.- Follow SDLC process.- Advanced analytical knowledge of data and data conditioning.- Programming advanced computing and developing algorithms.- Developing software, data models and executing predictive analysis.- Design, develop, and implement generative AI models using state-of-the-art techniques.- Collaborate with cross-functional teams to define project goals, research requirements and develop innovative solutions.- Strong proficiency in Python/R/Scala (Python is a must and R, Scala is a plus).- Strong proficiency in SQL, NO SQL Databases.- Experience in implementing and deploying AI\ Machine Learning solutions (using various models, such as CNN, RNN, Fuzzy logic, Q learning, SVM, Ensemble, Logistic Regression, Random Forest etc.- Specializes in at least one of the AI/ML stack, Frameworks, and tools like MxNET and Tensorflow.- Hands-on experience with data analytics and classical machine learning, deep learning tools (e. Pandas, NumPy, Scikit-learn) and deep learning frameworks (e. Tensorflow, Pytorch).What will make you stand out :- Experience in production software engineering routines in DevOps/MLOps (e. Continuous Code Integration and Deployment).- Experiences in cloud-based solutions (e. AWS, Azure, GCP). (ref:hirist.tech)