Overview
Hybrid3 days Onsite per week
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
GenAI
Amazon Web Services
Amazon SageMaker
Artificial Intelligence
Kubernetes
Data Science
NumPy
Python
LLM
Natural Language Processing
Job Details
Role: GenAI Data Scientist
Location: Reston, VA
Duration: 12+ Months
Qualifications & Requirements
- Education: MS in Computer Science, Statistics, Math, Engineering, or related field, PhD preferred
- 3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems
- 1+ year of experience specifically with deep learning (e.g., CNN, RNN, LSTM)
- 1+ year of experience building NLP and NLG tools.
- Experience with wide range of LLMs (Llama, Claude, OpenAI, Cohere, etc.), LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
- Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
- Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
- Knowledge in Python and SQL, object oriented programming, service oriented architectures
- Strong scripting skills with Shell script and SQL
- Strong coding skills and experience with Python (including SciPy, NumPy, and/or PySpark) and/or Scala.
- Knowledge and implementation experience with NLP techniques (topic modeling, bag of words, text classification, TF/IDF, Sentiment analysis) and NLP technologies such as Python NLTK, or Spacy or comparable technologies
- Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, etc.)
Preferred Qualifications
- Hands on experience building models with deep learning frameworks like Tensorflow, Keras, Caffe, PyTorch, Theano, H2O, or similar
- Experience with LLM Agents, Agentic programming
- Experience with search architecture (for instance: Solr, ElasticSearch, AWS OpenSearch)
- Experience with building querying ontologies such as Zeno, OWL, RDF, SparQL or comparable are preferred
- Knowledge & experience with microservices, service mesh, API development and test automation are preferred
- Demonstrated experience using Docker, Kubernetes, and/or other similar container frameworks are preferred
- Strongly prefer a PhD in math, computer science stat or comparable field with experience in data science, AI development and deep learning, advanced analytics
Additional Job Qualifications:
- Ability to translate business ideas into analytics models that have major business impact.
- Demonstrated experience working with multiple stakeholders.
- Demonstrated communication skills, e.g. explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats.
- Demonstrated experience developing tested, reusable and reproducible work.
- Transparently documenting code and methodologies.
- Ability to work in Agile, Lean and rapid development processes
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