About the Opportunity
The primary objective of this position is to drive AI / ML innovation and spearhead the design, development, and implementation of advanced models. This role entails leading a team of engineers to ensure successful project deployment leveraging AI / ML technologies to solve complex problems.
Key Responsibilities :
- Client Engagement : Engage with clients to understand their requirements and develop tailored solutions.
- Solution Presentations : Conduct solution / product demonstrations, POC / Proof of Technology workshops, and prepare effort estimates in line with customer needs.
- Model Oversight : Oversee the development and deployment of AI models, especially those generating content such as text, images, or other media.
- AI Solutions : Develop, implement, and deploy advanced AI solutions using NLP, Deep Learning, and AI principles.
- 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 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 :
Hands-on expertise in NLP, Computer Vision, programming, and related concepts.Strong leadership abilities : 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.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.