Senior AI Innovation Architect

7 days ago

davangere, India beBeeArtificial Full time

Lead AI/ML Innovation SpecialistAbout the RoleWe seek a Lead AI/ML Engineer to spearhead the design, development, and implementation of advanced AI and machine learning models. As part of our team, you will guide engineers ensuring successful project deployment leveraging AI/ML technologies.Key ResponsibilitiesClient Collaboration: Discuss client requirements and develop tailored proposals.Demonstrations and Workshops: Conduct solution/product demos, POC workshops, and prepare effort estimates aligned with customer expectations.Model Oversight: Oversee AI model development and deployment, especially for content generation.AI Solutions: Engage in coding, designing, developing, implementing, and deploying advanced AI solutions.Expertise Utilization: Apply NLP, Python programming, LLMs, Deep Learning, and AI principles to drive transformative technology development.Leadership and Initiative: Actively lead projects, contributing to unit-level and organizational initiatives.Strategic Development: Develop value-creating strategies and models to help clients innovate, grow, and increase profitability.Technology Awareness: Stay informed about the latest technologies and industry trends.Problem-Solving and Collaboration: Employ logical thinking and problem-solving skills, collaborating effectively.Required SkillsHands-on expertise in NLP, Computer Vision, programming, and related concepts.Leadership: Capable of leading and mentoring a team of AI engineers and researchers.Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP.LLM Experience: Experience with Large language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral, etc.Deep Learning OCR: Extensive experience implementing solutions using Deep Learning OCR algorithms.Neural Networks: Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).Python Expertise: Strong coding skills in Python, including related frameworks, best practices, and design patterns.Preferred Knowledge: Familiarity with word embeddings, transformer models, and image/text generation and processing.QualificationsBachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.8+ years in IT with a focus on AI/ML practices and background.

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