- Experience with Machine Learning, including:
- Feature selection/engineering
- Model training
- Model evaluation
- Supervised and Unsupervised ML
- Simulation
- Anomaly detection
- Previous experience with code version control
- Familiarity with software development processes and tools like the Agile methodology and Jira
- Experience with agentic and generative AI. Examples include
- Building agentic systems
- Building tools for agentic systems
- Evaluating agentic systems and/or generative AI solutions
- LangChain and/or LangGraph frameworks
- Model Context Protocol and Agent2Agent Protocol
- Prompt engineering
- Leveraging LLMs within analytical pipelines
- Training or fine-tuning LLMs
Deployment and Operations Experience, including
- Deploying, configuring, and troubleshooting software, tools, or applications
- Working with containers (e.g., Docker) and container orchestration platforms (e.g., Kubernetes, OpenShift)
- Working with Linux command line
- Working within cloud environments (e.g., AWS, Azure)
- Packaging and moving software, models, and dependencies into disconnected or air-gapped networks
- Monitoring, logging, and diagnosing issues in deployed systems
- Project Ownership
- You’ve scoped and planned data science projects and have the ability to creatively navigate technical limitations, iterate to solve hard questions, and learn quickly and independently.
- You are comfortable leading solutions for ambiguous tasks and complex problems, and are capable of independently providing solutions that fit within the business strategy.
- You propose pragmatic solutions that are as simple as possible and can be iterated upon
- You're comfortable working remotely on a distributed data science team with a diverse set of skills and life experiences, while embedded in a product team as owner of data science innovations to the product.
- Clearance: Active Top Secret Clearance with SCI Eligibility (Polygraph preferred)
#onsite
Two Six Technologies is committed to providing competitive and comprehensive compensation packages that reflect the value we place on our employees and their contributions. We believe in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development.
The projected salary range listed for this position is annualized. This is a general guideline and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills, geographic location, as well as contract specific affordability and organizational requirements.