Senior Machine Learning Engineer (NLP)
- Design, develop, and optimize AI and machine learning models for applications (e.g. NLP, multi-modal data processing, semantic search, etc.)
- Build and maintain robust data extraction, transformation, and enrichment pipelines
- Implement and enhance systems for information retrieval, embedding management, and semantic search
- Develop, fine-tune, and deploy NLP models for tasks including text classification, named entity recognition (NER), and contextual understanding
- Incorporate explainability into AI models to ensure transparency and accountability in AI-driven insights
- Develop scalable AI solutions leveraging cloud infrastructure, optimizing models for large-scale and high-performance applications
- Work with product managers, data scientists, and engineers to align AI initiatives with product goals while mentoring junior team members
- Stay updated with the latest advancements in AI, NLP, XAI, and data processing
- 5+ years of experience in AI/ML
- Proficiency in Python
- Proficiency in AWS, GCP, or Azure for model deployment, scaling, and storage solutions
- Experience with NLP, data extraction, and information retrieval
- Experience developing, deploying, and optimizing AI models in production environments
- Experience in AI/ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face Transformers, etc.)
- Hands-on experience with text classification, named entity recognition (NER), sentiment analysis, and language model fine-tuning
- Hands-on experience with search indexing techniques and vector databases (e.g. Pinecone, Weaviate)
- Deep understanding of NLP models, transformer architectures (e.g. BERT, GPT), embeddings (image, word, sentence), and similarity metrics
- Familiarity with XAI concepts and implementing transparency and accountability in AI models
- Excellent analytical and problem-solving skills
- Ability to convey complex AI concepts to non-technical stakeholders
- Strong communication skills in both spoken and written English
- Bachelor's or Master's Degree in Computer Science, Data Science, Artificial Intelligence, or equivalent
- Startup experience
- Experience with OCR tools like Tesseract and Amazon Textract
- Experience in processing audio and video data
- Experience building modular AI systems and commercializing AI models
- Knowledge of information retrieval systems and search engine optimization
- Ph.D. in Computer Science, Data Science, Artificial Intelligence, or equivalent