Chief AI Innovation Officer

Are you a seasoned professional looking for a challenging role that allows you to leverage your AI/ML expertise to drive business growth? As a Lead AI/ML Engineer, you will be responsible for spearheading the design, development, and implementation of advanced AI and machine learning models. Your role involves guiding a team of engineers to ensure successful project deployment, leveraging AI/ML technologies to solve complex problems.

Key Responsibilities Include:

• Optimizing model performance and conducting rigorous testing
• Maintaining up-to-date knowledge of industry trends and best practices
• Mentoring team members and promoting best practices within the organization
• Collaborating with stakeholders to understand business needs and translate them into technical requirements

Core Responsibilities

• Client Engagement: Engage with clients to understand their 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 expectations.
• 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.
• Client Interaction: Demonstrate strong client interaction skills.
• Project and Team Management: Manage projects and teams efficiently.

Required Skills and Qualifications

• 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.
• 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.