Posted:1 day ago|
Platform:
Hybrid
Full Time
Responsibilities • Good Understanding of LLMs and Gen AI technologies. (Azure Open AI, Lang Chain etc.) o Machine Learning ,Deep Learning techniques and GenAI techniques, • Generative Adversarial Networks (GANs) • Language Models : Proficiency in language models such as GPT (Generative Pre-trained Transformer) is essential for tasks involving text generation, translation • API Development • Cloud Computing : Cloud platforms like AWS or Azure or GCP • Experience in AI/ML Architecture . • Excellent knowledge on Python • Scale existing AI models into production on a variety of cloud platforms with GenAI • Good working knowledge on deep learning and advanced NLP techniques • Analysing the use cases of ML algorithms and ranking them by their success probability • Should be excellent with Rasa Framework or any other chatbot interface. • Performing statistical analysis and using results to improve models. • Training and retraining ML systems and models in real-world situations • Experience in Agentic AI and RAG Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Masters degree is a plus • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Languages and scripting: Python, SQL • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and AI tooling – Sagemaker, GenAI • Ensure GenAI outputs are contextually relevant • Familiarity with Generative AI technologies, Design and Implement GenAI Solutions • Collaborate with service line teams to design, implement and manage Gen-AI solution
Genpact
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