Senior Machine Learning Engineer (NLP)

Required skills

Requirements

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

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

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