
Visionary AI Strategist
6 hours ago
The Lead AI/ML Engineer spearheads the design, development and implementation of complex AI and machine learning models. They guide a team to ensure successful project deployment leveraging AI/ML technologies to solve business problems.
Responsibilities:
- Client Consultation: Discuss client requirements and develop tailored proposals.
- Demonstrations and Workshops: Conduct solution/product demonstrations and prepare effort estimates in line with customer needs.
- Model Oversight: Oversee the development and deployment of AI models generating content.
- AI Solution 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.
- Leadership and Initiative: Actively lead projects and contribute to unit-level and organizational initiatives.
- Strategic Development: Develop value-creating strategies and models to help clients innovate and drive growth.
- 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.
- Project and Team Management: Manage projects and teams efficiently.
Required Skills:
- Skills: Hands-on expertise in NLP, Computer Vision 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 and GPT 4 along with experience in LLM integration frameworks.
- 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) and Recurrent Neural Networks (RNNs).
- Python Expertise: Strong coding skills in Python and related frameworks.
- 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.
- Experience with Information Security: Experience with information security best practices.
Qualifications:
- Education: Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics or a related field.
- Work Experience: 8+ years in IT with a focus on AI/ML practices and background.
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