Senior AI​/Data Scientist

Security Clearance:

• Active TS/SCI clearance required.

Minimum Requirements:

• 5+ years of experience in applied data science or machine learning roles with strong Pythonproficiency.
• Demonstrated experience implementing NLP solutions and large language models (LLMs) in mission or enterprise environments.
• 5+ years of experience with data exploration, data cleansing, analysis, visualization, and data mining.
• Experience supporting production-level ML systems, including data lake architectures and streaming platforms (e.g., Kafka,Accumulo,Solr, Elasticsearch).
• Experience implementing end-to-end ML workflows, from data preparation through deployment, evaluation, and sustainment.
• Hands-on experience with CI/CD pipelines supporting ML and data workflows.
• Experience deploying and orchestrating ML services using container platforms such as Kubernetes.
• Familiarity with modern orchestration and workflow tools (e.g., Airflow) and table formats such as Apache Iceberg.
• Ability to rapidly learn and apply system and infrastructure concepts, including how ML pipelines integrate with enterprise data platforms.

Key Responsibilities:

• Design, develop, and enhance AI/ML workflows, including Retrieval-Augmented Generation (RAG) and agentic architectures.
• Fine-tune, evaluate, andvalidate
  
  ML and LLM models to meet mission performance, reliability, and compliance requirements.
• Implement and enforce model governance, guardrails, and responsible AI controls across the ML lifecycle.
• Deploy, monitor, and scale AI/ML solutions in production environments using CI/CD pipelines and Kubernetes orchestration.
• Support streaming and search-centric data architecturesleveragingplatforms such as Kafka,Accumulo,Solr, and Elasticsearch.
• Collaborate with data engineers,MLOpsteams, and stakeholders to transition AI/ML capabilities from development to operational use.
• Develop technical documentation and contribute to standards, best practices, and repeatable ML processes.
• Troubleshoot complex issues across data ingestion, model performance, orchestration, and production pipelines.

Skills and Proficiencies:

• Python-based ML development and evaluation.
• NLP, LLMs, RAG pipelines, and agentic systems.
• ML model fine-tuning, benchmarking, and performance analysis.
• CI/CD pipelines for ML and data workflows.
• Kubernetes-based deployment and orchestration.
• Streaming, search, and analytics platforms (Kafka,Accumulo,Solr, Elasticsearch).
• Modern data platforms and orchestration tools (Iceberg, Airflow).
• Strong analytical, problem-solving, and technical communication skills.

Additional Information:

• Nice-to-have experience with GPU-enabled platforms, Linux system administration, and ML hardware optimization.
• Experience with
  
  MLOpsframeworks and tooling (e.g.,MLflow, Kubeflow) preferred.
• Experience supporting classified, mission-critical, or large-scale government systems strongly preferred.

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.