Transformative AI/ML Lead

About This RoleWe are seeking a highly skilled and experienced AI/ML Lead to spearhead the design, development, and implementation of advanced AI and machine learning models. As a key member of our team, you will guide a group of engineers to ensure the successful deployment of projects that leverage AI/ML technologies to solve complex problems.Your responsibilities will include optimizing model performance, conducting rigorous testing, and maintaining up-to-date knowledge of the latest industry trends. You will also mentor team members, promote best practices, and contribute to strategic decision-making within the organization.Key Responsibilities:Client Interaction: Engage with clients to understand their requirements and develop proposals tailored to their needs.Demonstrations and Workshops: Conduct solution/product demonstrations, POC/Proof of Technology workshops, and prepare effort estimates in line with customer budgets and organizational financial guidelines.Model Oversight: Oversee the development and deployment of AI models, especially those 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 your expertise in NLP, Python programming, LLMs, Deep Learning, and AI principles to drive the development of transformative technologies.Leadership and Initiative: Actively lead projects and contribute to both unit-level and organizational initiatives to provide high-quality, value-adding 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 QualificationsSkills: Hands-on expertise in NLP, Computer Vision, programming, and related concepts.Leadership: Capable of leading and mentoring a team of AI engineers and researchers, setting strategies for AI model development and deployment, and ensuring these align with business goals.Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP, with tools such as TensorFlow, PyTorch, Spark, and Keras.LLM Experience: Experience with Large language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral, etc. along with experience in LLM integration frameworks like LangChain, Llamaindex, AgentGPT, 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, such as AWS, Azure, or Google Cloud.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.