We are seeking an innovative, hands-on
Data Scientist
with
7+ years of experience
in AI/ML, NLP, data modeling, and cloud engineering. This role focuses on building prototypes and emerging technology solutions—especially
LLMs and GenAI
—that solve complex business problems in cloud-native environments.
This position is
fully remote
and can be performed from anywhere within the continental United States.
Required Qualifications
- Bachelor’s degree in computer science , Data Science, Statistics, Mathematics, Engineering, or a related field; additional experience may substitute.
- 7+ years of experience in data science, analytics, machine learning, NLP, AI, or related fields.
- Proven track record delivering AI/ML/NLP solutions in cloud-native environments (AWS, Azure, GCP).
- Ability to obtain and maintain a Public Trust clearance (USPTO requirements).
- Must have lived in the U.S. continuously for the last 2 years .
- Strong communication, collaboration, and presentation skills.
Technical Skills
- Programming: Python, R, SQL, Java
- AI/ML/LLM Tools: GenAI, LLMs, PyTorch, ML/NLP frameworks
- Cloud: AWS (S3, SageMaker, Redshift), Azure, GCP
- Big Data: Hadoop, Hive
- Platforms: Databricks
- DevSecOps: Terraform, GitLab pipelines, Docker, Git
- Visualization: Power BI, Tableau
- **Data Manipulation, EDA, and Statistical Modeling
Preferred Qualifications (Nice-to-Have)**
- Experience with MLOps , model monitoring, and deployment pipelines.
- Experience in NLP, deep learning, or computer vision .
- Familiarity with automating DevSecOps pipelines and secure model operations.
Tags & focus areas
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