Senior AI Strategist

Job Description:A Lead AI/ML Engineer plays a crucial role in spearheading the design, development, and implementation of advanced AI and machine learning models. They guide a team of engineers to ensure successful project deployment leveraging AI/ML technologies to solve complex problems. The engineer collaborates closely with stakeholders to understand business needs, translates them into technical requirements, and drives innovation.The Lead AI/ML Engineer optimizes model performance, conducts rigorous testing, and maintains up-to-date knowledge of the latest industry trends. They mentor team members, promote best practices, and contribute to strategic decision-making within the organization.Core Responsibilities:Client Interaction: Discuss client 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 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.Client Interfacing: Demonstrate strong client interfacing skills.Project and Team Management: Manage projects and teams efficiently.Required Skills:Skills: 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.Qualifications:Bachelor'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.