Chief Innovation Officer

This role involves spearheading the design, development, and implementation of cutting-edge AI and machine learning models. The Senior AI/ML Engineering Director is responsible for guiding a team of engineers to ensure successful project deployment, leveraging AI/ML technologies to solve complex problems.

Closely collaborate with stakeholders to understand business needs, translate them into technical requirements, and drive innovation. Key responsibilities include optimizing model performance, conducting rigorous testing, and maintaining up-to-date knowledge of industry trends.

Additionally, mentor team members, promote best practices, and contribute to strategic decision-making within the organization.

• Client Interaction: Discuss client requirements and develop tailored proposals.
• 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 AI model development and deployment, particularly 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 transformative technology development.
• Leadership and Initiative: Actively lead projects and contribute to unit-level and organizational initiatives, providing 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.

• 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 like 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: Experience with information security and secure development best practices.

• Bachelor's or Higher Degree: Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
• 8+ Years IT Experience: 8+ years in IT with a focus on AI/ML practices and background.