Senior AI Developer

7 days ago

tiruppur, India beBeeArtificial Full time

Job DescriptionThe Lead AI Engineer is responsible for designing, developing, and implementing advanced AI models.This includes leading a team of engineers to ensure successful project deployment that leverage AI technologies to solve complex problems.Key Responsibilities:Client Interaction: Discuss client requirements and develop tailored proposals.Demonstrations and Workshops: Conduct solution/product demonstrations, workshops, and prepare effort estimates in line with customer budgets and organizational guidelines.Model Oversight: Oversee the development and deployment of AI models generating content such as text, images, or other media.AI Solutions: Engage in coding, designing, developing, implementing, and deploying advanced AI solutions.Expertise Utilization: Utilize expertise in NLP, Python programming, LLMs, Deep Learning, and AI principles to drive technology development.Leadership and Initiative: Actively lead projects and contribute to both unit-level and organizational initiatives to provide high-quality solutions to customers.Strategic Development: Develop value-creating strategies and models to help clients innovate, drive growth, 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, and collaborate effectively.Required Skills and QualificationsHands-on expertise in NLP, Computer Vision, programming, and related concepts.Leadership: Capable of leading and mentoring a team of AI engineers, setting strategies for AI model development and deployment.Technical Proficiency: Proficient in implementing and optimizing 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.Deployment: Experience deploying AI/ML solutions as a service or REST API endpoints on Cloud or Kubernetes.Development Methodologies: Proficient in development methodologies and writing unit tests in Python.Cloud: Knowledge of cloud computing platforms and services.Experience with information security and secure development best practices.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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