Senior Lead AI Engineer

We are seeking a senior lead engineer to spearhead the design, development, and implementation of advanced AI models. As a key member of our team, you will guide a group of engineers to ensure successful deployment of projects that leverage AI technologies to solve complex problems.

You will collaborate closely with stakeholders to understand business needs and drive innovation. Key responsibilities include optimizing model performance, conducting rigorous testing, and maintaining up-to-date knowledge of industry trends.

Key Responsibilities:

• Client Engagement: Discuss client requirements and develop proposals tailored to their needs.
• Solution Demonstrations: Conduct solution/product demonstrations, POC/Proof of Technology workshops, and prepare effort estimates aligned with customer objectives.
• Model Oversight: Oversee the development and deployment of AI models, particularly those generating content such as text, images, or other media.
• AI Solutions Development: 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 unit-level and organizational initiatives to provide high-quality solutions to customers.
• Strategic Development: Develop 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.
• Technical Proficiency: Proficient in implementing and optimizing advanced 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 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.

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.