AI ML Data Science Engineer

Company Overview:
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA's Client is currently seeking a AI ML Data Science Engineer to join their team in Canada.

Job Description:
AI Skills:
•NLP for healthcare: Specialized natural language processing techniques tailored for medical data.
•Prompt Engineering: Crafting effective prompts for AI models, especially important for large language models (LLMs).
•Multimodal Prompting: Designing prompts that work across different AI tools and models
•Evaluation and Refinement: Assessing AI outputs and refining prompts for better results.
•Model Fine-Tuning: Adjusting pre-trained models to improve performance on specific tasks
•Speech Recognition: Converting spoken language into text.
•Text-to-Speech: Generating spoken language from text.
•Audio Signal Processing: Analyzing and manipulating audio signals.
•Speech to Text Expertise: Advanced skills in converting speech to text accurately.
•Sentiment & Tone Analysis Expertise: Analyzing emotions and tone in text data.
•LLM Expertise: Working with large language models like GPT-4.
•Computer Vision (image processing & OCR): Analyzing and interpreting visual data, including optical character recognition.
•Embeddings Models (TensorFlow/Phoenix): Using embeddings for various ML tasks.
•Expertise in Knowledge retrieval systems & LLM Integration with retrieval.
•Recommendation Algorithms: Building systems to suggest items to users.
•Neural Collaborative Filtering: Using neural networks for recommendation systems.
•Neural Network: Designing & implementing models.
•Basic Knowledge in Azure Databricks infrastructure.
•Knowledge in Healthcare Domain
Data Science and Machine Learning Skills
•Data Annotation & Labeling: Essential for creating high-quality training datasets.
•Model Training: Building and training machine learning models.
•Fine Tuning: Adjusting pre-trained models to improve performance on specific tasks.
•Supervised & Unsupervised Learning: Techniques for both labeled and unlabeled data.
•Risk Prediction (time series models - LSTMs, ARIMA) & Survival Analysis Techniques: Predicting future events and analyzing time-to-event data.
•Model Evaluation, Selection & Fine-tuning: Assessing and optimizing model performance.
•Dimensionality Reduction: Reducing the number of features in a dataset.
•Vector Search Optimization: Enhancing search algorithms using vector representations.
•Feature Engineering: Creating new features from raw data to improve model performance.
•Data Drift Monitoring & Identification: Detecting changes in data distributions over time.
•Synthetic Data Generation: Creating artificial data for training models when real data is scarce.
•Basic Knowledge in Azure Databricks infrastructure.
•Knowledge in Healthcare Domain.

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

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