• Job Description

  Req#: JPC - 10181079

  Job Posting Title AI ML Data Science Engineer

  Description Location: Halifax, CA (Remote) Must have 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 the company

  United Software Group, Inc. (USG) is a Global Information Technology Consulting Company established in the year 2002 with its Headquarters in Columbus-Ohio, USA. USG is operating a business in 6 countries USA, Mexico, Canada, UK, Ireland and India. USG is a Minority Owned Enterprise (MBE) offering IT consulting, Talent Management and Staff Augmentation Solutions to its Clients. USG is recognized by INC5000 as Americas Fastest-Growing Private Companies and is honored with A+ rating by BBB as a mark of a trustworthy customer-oriented organization. USG’s services are based on requirements specified by operational business users from different industries such as Banking & Financial, Consumer Good and Distribution, Telecommunication, Insurance, Engineering, Healthcare, Life Sciences, Retail, Manufacturing and Automotive.

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