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As an AI/NLP/ML Expert, you will play a critical role in advancing our capabilities in Artificial Intelligence and Machine Learning. We are looking for a professional who is not only skilled in these domains but also passionate about developing groundbreaking solutions that leverage AI technology to drive business impact.
Key Responsibilities:
- Design, implement and optimize advanced AI, NLP, and ML models. Use LLMs, RAG frameworks, and other state-of-the-art approaches.
- Create methods for tokenization, part-of-speech tagging, named entity recognition, classification, clustering and other text mining-related tasks
- Fine-tune pre-trained models on domain-specific tasks
- Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies.
- Develop and maintain robust, scalable, and efficient code using Python.
- Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
- Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability.
- Participate in peer reviews and contribute to the continuous improvement of AI solutions.
- Contribute to the design and implementation of ML application architecture and its solution stack
- Develop comprehensive reports and visualizations to communicate insights and findings to stakeholders
- Master's Degree in on Statistics, Data Science and Machine Learning, Computer Science, etc
- 13+ years of experience in IT
- Experience in Machine Learning and Natural Language Processing
- Excellent knowledge of Python and libraries (e.g. Pandas, SpaCy, NLTK, Hugging Face)
- Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch
- Experience with AI-powered code assistants (e.g., Amazon Q, Github Copilot), staying updated with advancements in AI-driven code technologies
- Good knowledge of SQL tooling (Oracle, PostgreSQL)
- Knowledge of NoSQL databases (Elasticsearch, MongoDB)
- Knowledge of architectural design of scalable ML solutions such as model servers, GPU resource optimization.
- Experience with A/B testing and experimental design of ML models
- Experience with pre-trained models and LLMs like GPT, and other Transformer-based architectures
- Experience with tools like Matplotlib and Seaborn for creating data visualizations
- Strong understanding of linguistics and text processing techniques
- Proficient in continuous code delivery and unit testing
- Understanding of bias in ML applications and bias mitigation techniques
- Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, recommendation systems
- Proficiency in understanding and applying statistical concepts and models
- Ability to formulate problems and develop solutions using data-driven approaches
- Effectively communicating complex data insights to non-technical stakeholders
- Results-oriented mindset, focused on delivering
- Good communication skills in English, both orally and in written form
- Ability to write clear and well-structured documentation
Key Skills
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