Overview
We're seeking a Senior Data Scientist to support mission-critical machine learning and NLP initiatives in a high-throughput production environment. This role involves building, deploying, and refining end-to-end ML workflows for document classification, extraction, and search, while collaborating with MLOps and infrastructure teams. Ideal candidates will have 5+ years of data science experience, proficiency in Python and streaming data (e.g., Kafka), and familiarity with data lake environments. Onsite Required (Ft. Belvoir & Reston, VA). Security Clearance: TS/SCI required (must be active in DISS). Minimum Requirements:
• 5+ years of experience in applied data science or machine learning roles.
• Proficient in Python, including experience with NLP and LLM implementation.
• Strong background in data exploration, cleaning, analysis, visualization, and mining.
• Hands-on experience with production-level systems, data lakes, and streaming data tools such as Kafka.
• Experience designing and executing end-to-end ML workflows (data prep to deployment and evaluation).
• Ability to rapidly learn infrastructure concepts, particularly data pipelines and data lake interactions.
• Skilled in developing ML models for document classification, extraction, summarization, and search.
• Proven ability to manage high-throughput, production-level ML systems.
• Bachelor's degree. Key Responsibilities:
• Lead the development of machine learning models supporting document-centric workflows.
• Own and evolve scalable data science solutions integrated into production pipelines.
• Work closely with engineers to ensure ML models interact efficiently with backend data systems.
• Collaborate across teams to address infrastructure and deployment challenges.
• Continuously evaluate and improve models for performance and accuracy.
• Support data science operations tied to millions of streaming documents weekly. Skills and Proficiencies:
• Strong understanding of data lake architectures and streaming data environments.
• Familiarity with distributed storage systems (e.g., Cloudera) and compute frameworks (e.g., Spark, Hadoop).
• Experience with MLOps processes and tools for model deployment, monitoring, and retraining.
• Proficient in SQL/NoSQL and languages like R or Python for algorithm development.
• Visualization expertise with libraries like Plotly, Seaborn, or ggplot2.
• Knowledge of GPU workloads and indexing/search optimization techniques. Additional Information:
Ideal for candidates looking to apply advanced data science techniques in high-impact, mission-driven environments. About us:
Technical Intelligence Solutions (TIS) is dedicated to delivering top-notch solutions to our customers by building a team of highly qualified professionals who thrive in a collaborative, idea-driven, innovative environment. Founded and operated by experienced engineers, TIS understands customer goals, strategies, and the expertise required to craft innovative solutions. We specialize in supporting critical DoD missions with reliable, efficient systems, networks, and applications that excel in real-time operations. Benefits:
We offer a comprehensive benefits package, including bi-weekly pay, 20 days of PTO, a 5% safe harbor 401k, professional development reimbursement, and a variety of healthcare options for eligible employees. To Apply: Interested candidates should submit their resume for consideration.
Overview
Seeking a Splunk Engineer to manage and optimize Splunk Enterprise environments. Requires 3+ years of experience with SPL, system administration, data ingestion, and infrastructure management. Must be comfortable working in SCIF 2-3 days/week and collaborating with scrum teams. Security Clearance: Must be a U.S. Citizen and possess a DoD TS/SCI with CI poly clearance. Minimum Requirements:
-BA or BS degree, preferably in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field.
-3+ years of experience with Splunk Enterprise, including:
-Using Search Processing Language (SPL) to create Reports, Alerts, and Dashboards.
-Managing infrastructure components (e.g., Indexers, Index Clusters, Search Heads, Universal Forwarders).
-Ingesting and indexing new data sources.
-Working with app folders and configuration files (e.g., inputs.conf, props.conf), via both GUI and terminal.
-1+ years of experience with Linux and/or Windows system administration.
-1+ years of experience drafting architectural and infrastructure diagrams.
-Proficient in SharePoint, Jira, Confluence, or other ticket tracking tools.
-Ability to collaborate with scrum teams and deliver updates/presentations on progress.
-Availability for SCIF work 2-3 days per week. Key Responsibilities:
-Manage, configure, and troubleshoot Splunk Enterprise infrastructure.
-Ingest, normalize, and index new data sources.
-Maintain and update architectural and infrastructure documentation.
-Provide configuration support and resolve issues across Splunk environments.
-Collaborate with scrum teams and contribute to sprint planning and reporting. Skills and Proficiencies:
-Proficient in scripting and automation using Python, Bash, Boto3, JSON, YAML, and XML.
-Familiar with Infrastructure-as-Code tools and automation for pipelines and deployments.
-Experience with AWS, Splunk Enterprise Security (ES), and User Behavior Analytics (UBA).
-Working knowledge of Docker, Kubernetes, and Ansible.
-Strong time management, verbal, and written communication skills.
-Preferred certifications: Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, Splunk UBA, or Splunk ES. Additional Information:
Hybrid role with a primarily remote setup; requires onsite presence in a SCIF 2-3 days per week. About us:
Technical Intelligence Solutions (TIS) is dedicated to delivering top-notch solutions to our customers by building a team of highly qualified professionals who thrive in a collaborative, idea-driven, innovative environment.
Founded and operated by experienced engineers, TIS understands customer goals, strategies, and the expertise required to craft innovative solutions. We specialize in supporting critical DoD missions with reliable, efficient systems, networks, and applications that excel in real-time operations. Benefits:
We offer a comprehensive benefits package, including bi-weekly pay, 20 days of PTO, a 5% safe harbor 401k, professional development reimbursement, and a variety of healthcare options for eligible employees. To Apply: Interested candidates should submit their resume for consideration.
Overview
We're hiring a DevOps Engineer to support secure cloud and deployment environments for national security systems. In this role, you'll build and manage CI/CD pipelines, deploy containerized applications using Kubernetes and Helm, and automate infrastructure with tools like Ansible and Terraform. Onsite Required (Ft. Belvoir & Reston, VA). Security Clearance: TS/SCI required (must be active in DISS). Minimum Requirements:
• 5+ years of experience with DevOps tools and CI/CD pipelines.
• 3+ years of containerization experience with Kubernetes deployments.
• 2+ years managing Helm deployments via ArgoCD or Flux, including writing custom Helm charts.
• Experience with infrastructure-as-code and automation tools (e.g., Ansible, Puppet, Chef).
• Experience supporting custom applications in production environments.
• Strong understanding of container networking, monitoring, and storage.
• Knowledge of container security and vulnerability mitigation.
• Bachelor's degree.
• Must hold or obtain within 6 months a DoD 8570-compliant certification such as Security+ CE, SSCP, CCNA-Security, or GSEC. Key Responsibilities:
• Design, implement, and maintain secure and scalable CI/CD pipelines.
• Deploy and manage Kubernetes environments and containerized applications.
• Automate infrastructure provisioning and application deployments.
• Troubleshoot deployment, infrastructure, and security issues across environments.
• Collaborate with developers, engineers, and cybersecurity teams to ensure efficient DevSecOps practices.
• Monitor and support production systems and pipelines. Skills and Proficiencies:
• Proficient in container orchestration (Kubernetes), Helm, ArgoCD/Flux.
• Familiar with DevOps tools such as Jenkins, Git, or TeamCity.
• Strong scripting skills (Bash, Python, PowerShell, Groovy, Ruby).
• Experience with Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), FluentD.
• Knowledge of AWS or Azure cloud environments.
• Understanding of system integration protocols (JSON, REST, XML).
• Experience with virtualization (VMware), Docker, and Linux/UNIX administration. Additional Information:
Kubernetes certification is a plus. About us:
Technical Intelligence Solutions (TIS) is dedicated to delivering top-notch solutions to our customers by building a team of highly qualified professionals who thrive in a collaborative, idea-driven, innovative environment. Founded and operated by experienced engineers, TIS understands customer goals, strategies, and the expertise required to craft innovative solutions. We specialize in supporting critical DoD missions with reliable, efficient systems, networks, and applications that excel in real-time operations. Benefits:
We offer a comprehensive benefits package, including bi-weekly pay, 20 days of PTO, a 5% safe harbor 401k, professional development reimbursement, and a variety of healthcare options for eligible employees. To Apply: Interested candidates should submit their resume for consideration.
