Generative AI Data Scientist

3 weeks ago

Fairfax, United States Tekvivid Inc Full time

Title: Generative AI Data Scientist
Location: Fairfax VA
Position: Remote
Duration: 12 Months

Role Description:

Formulating design and deliver AI/MLbased decisionmaking frameworks and models for business outcomes. Measure and justify AI/ML based solution values.

Data Scientist GenAI Engineer:

We are seeking a Python GenAI Engineer with expertise in developing finetuning 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 humanintheloop 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 humanintheloop 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 (12 years preferred)
  • Expertise in frameworks such as TensorFlow PyTorch and Hugging Face
  • Strong proficiency in Python with experience in libraries like Transformers and NLTK
  • Familiarity with generative AI models such as OpenAIs 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. TFIDF 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. Experience optimizing databases (SQL: PostgreSQL MySQL; NoSQL: MongoDB Elasticsearch) to support efficient data storage and retrieval for AI models
  • Develop and finetune 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 F1score to iteratively improve models through hyperparameter tuning and training optimizations
  • Experience implementing prompt engineering strategies and apply transformer models to enhance generative AI outputs using frameworks like Hugging Face and PyTorch
  • 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 stateoftheart techniques such as transfer learning attention mechanisms and finetuning pretrained models to healthcarespecific challenges
  • Masters degree (Data Science AI Computer Science or a related field) 10 years experience; or PhD 4 years

Preferred Qualifications:

  • Experience in healthcare particularly working with unstructured medical records in clinical settings leveraging NLP models for insight extraction.
  • Experience working with humanintheloop systems incorporating clinician/enduser 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 data

Education Level:

  • Masters Degree 10 years experience

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