Generative AI Data Scientist

Company: Society of Exploration Geophysicists
Location: Baltimore
Posted on: October 17, 2024

Job Description:

!!!! You must be located within 2 hours of the Baltimore area for this position or willing to relocate within 30 days!!!!!Description:We are seeking a Python GenAI Data Scientist with expertise in developing, fine-tuning, and integrating AI models, particularly in natural language processing (NLP). This role focuses on building generative AI solutions for summarization tasks and other NLP applications, while incorporating prompt engineering and human-in-the-loop feedback to optimize AI outputs. The ideal candidate will possess demonstrated prior experience analyzing unstructured medical records, developing AI models for extracting insights, and incorporating human-in-the-loop feedback to improve model performance. You will collaborate closely with data scientists, software engineers, and other stakeholders to integrate AI models into production environments within cloud infrastructure.Required Qualifications & Experience:

• 5+ years of experience in AI/ML development with a strong focus on NLP and generative models, using frameworks such as TensorFlow, PyTorch, and Hugging Face
• Expertise in Python, with experience in libraries like Transformers, NLTK, SpaCy, Gensim, and data manipulation tools such as Pandas and NumPy
• Implement dynamic prompt engineering strategies to optimize model outputs (1-2 years preferred)
• Familiarity with generative AI models such as OpenAI's GPT, Llama, and supporting libraries like VLLM
• Strong analytical skills and experience with statistical modeling and data analysis
• Ability to effectively articulate technical challenges and solutions
• Strong communicator with excellent written and verbal communication skills
• Identify and analyze user requirements to generate stories and tasks for team backlog
• Prioritize and execute tasks throughout the software development life cycle
• Create custom NLP algorithms and annotators to evaluate medical record data
• Create custom tools to enable analysts to perform data research
• Solid understanding of statistical modeling, data analysis, and performance evaluation metrics.
• Demonstrated experience analyzing and processing unstructured clinical data (e.g., electronic health records, physician notes, imaging reports), using techniques such as tokenization, lemmatization, and word embeddings (e.g., TF-IDF, BERT)
• Familiarity with healthcare data formats and standards such as HL7, FHIR, ICD codes, and SNOMED
• Experience with cloud platforms (AWS, Azure), containerization (Docker), and using CI/CD pipelines for machine learning model deployment
• Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Elasticsearch) databases, and how to structure data pipelines for efficient data processing
• Develop and fine-tune AI models for natural language processing (NLP) tasks, including Named Entity Recognition (NER), text classification, summarization, and sentiment analysis, particularly with unstructured clinical records
• Conduct experiments to evaluate model performance, utilizing metrics such as precision, recall, and F1-score to iteratively improve models through hyperparameter tuning and training optimizations
• Experience integrating AI models into production environments, collaborating with software engineers and using cloud platforms like AWS to ensure scalability and performance
• Analyze and preprocess large datasets, particularly unstructured medical records (e.g., physician notes, discharge summaries), using tools like Pandas, NLTK, and SpaCy
• Stay updated with the latest research and advancements in AI and NLP, applying state-of-the-art techniques such as transfer learning, attention mechanisms, and fine-tuning pre-trained models to healthcare-specific challenges
• Master's degree (Data Science, AI, Computer Science, or a related field) + 10 years experience; or PhD + 4 yearsPreferred Qualifications:
  • Experience in healthcare, particularly working with unstructured medical records in clinical settings, leveraging NLP models for insight extraction.
  • Experience working with human-in-the-loop systems, incorporating clinician/end-user feedback and leveraging tools like SciPy and NumPy to improve AI model accuracy
  • Educational background or practical training in a clinical setting, with exposure to clinical workflows and medical terminologies
  • Familiarity with deep learning techniques, attention mechanisms, and transformers applied to healthcare dataEducation:BS RequiredWork Authorization: US Citizen, Green Card, H1-B VisaBackground Check/Public Trust Clearance:Active clearance is NOT required but candidate must be able to obtain and maintain a US Public Trust clearanceHours: You must be located in the US and be able to work US East Coast HoursAbout Us:Interactive Consulting Services, Inc.'s (ICS) mission is to match elite talent with cutting-edge technologies and projects.Interactive Consulting Services (ICS) is a small woman-owned business headquartered in Jarrettsville, MD, and has been providing IT and talent services for over 20 years. ICS has a proven track record in both the public and private sectors, providing talent and solutions in fields ranging from healthcare, education, and finance, to social services, defense, and aviation.
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Keywords: Society of Exploration Geophysicists, Olney , Generative AI Data Scientist, Other , Baltimore, Maryland