
Senior AI Technology Strategist
1 week ago
About this Role
This is a high-level position that oversees the design, development, and implementation of advanced AI and machine learning models. As a lead engineer, you will guide a team of engineers to ensure successful deployment of projects leveraging AI/ML technologies to solve complex problems.
Key Responsibilities
- Client Collaboration: Discuss client requirements and develop tailored proposals.
- Solution Demonstrations: Conduct solution demonstrations, workshops, and prepare effort estimates aligned with customer budgets and organizational financial guidelines.
- Model Oversight: Oversee AI model development and deployment, particularly for content generation.
- AI Solution Development: Engage in coding, designing, developing, implementing, and deploying advanced AI solutions.
- Expertise Utilization: Apply 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 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 Qualifications
- 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 aligning 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 like AWS, Azure, or Google Cloud.
- Experience with information security and secure development best practices.
- 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.
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