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17 hours ago
A senior-level AI professional will drive innovation and lead the development of cutting-edge AI solutions.
- Drive industry leading cutting-edge AI solutions and bring out AI-first products
- Provide end-to-end AI based solution that excels in real client use-cases around Information Extraction
- Collaborate with cross-functional teams (Product and Solution teams) to ensure comprehensive AI solutions
- Stay abreast with latest trends in AI technologies and provide technical leadership to execute large-scale, complex search solutions
- Help attract and recruit technical talent in the domain of Information Extraction
Bachelor's degree in computer science, computer engineering, or a related technical discipline.
- 2-10 years of software development experience with creating AI solutions
- High proficiency and experience in machine learning, natural language processing/natural language understanding, computer vision, narrow language models (BERT), general language models, and general AI
- Good hold over unsupervised learning, supervised learning, reinforcement learning, and generative models
- Advanced knowledge of popular libraries such as HuggingFace (transformers, tokenizers, accelerate) and Langchain
- Build, versioning, and maintaining AI models along with performance optimizations to run at scale
- Create and maintain training data from large knowledge bases consisting of semantic relationships
- Experience with other NLP libraries like NLTK, spaCy, Genism, etc
- Expertise in programming languages commonly used in AI development, such as Python, and proficiency in libraries like NumPy and Pandas
We need technical depth and an appreciation of business imperatives. We want to use technology to solve real-world problems, not indulge in over-engineering.
- Experience with multilingual NLP
- A willingness to dive deep, experiment rapidly, and get things done
- Exceptional customer relationship skills including the ability to understand common technical requirements from multiple feature requests and lead engineering efforts to meet timelines with optimal solutions
- Experience with Agile/Lean methodologies, HTTP/REST services, and Linux
Proven experience mentoring and training the engineering community on complex technical issues.
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