Talascend is currently seeking an Artificial Intelligence Engineer for a contract opportunity with our client in Reston, Virginia.
Overview
The Artificial Intelligence Engineer will design, develop, and deploy AI/ML solutions that enhance engineering, construction, and business processes. This role bridges advanced technology and practical application, ensuring AI systems deliver measurable value across projects and functions.
Responsibilities
- Design, build, and implement AI/ML models for predictive analytics, generative design, and automation.
- Convert prototypes into production-ready applications using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Data engineering and integration
- Collaborate with data engineers to develop robust data pipelines and architectures.
- Apply ETL techniques and big-data tools to cleanse, organize, and transform data for AI models.
- Deployment and optimization
- Deploy AI models on cloud platforms (Azure AI/ML, Databricks) and integrate with the client's digital ecosystem.
- Implement MLOps practices for lifecycle management, monitoring, and continuous improvement.
- Collaboration and stakeholder engagement
- Work with cross-functional teams (engineering, IT, project controls) to align AI solutions with business objectives.
- Communicate complex AI concepts to non-technical stakeholders.
- Governance and compliance
- Ensure AI solutions adhere to security, ethics, and compliance standards.
- Maintain documentation for models, processes, and decision-making.
- Innovation and continuous learning
- Stay current with emerging AI technologies (e.g., agentic AI, multimodal systems).
- Contribute to initiatives and innovation programs focused on AI advancements.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. Master’s degree preferred.
- 8–12 years of relevant experience in AI/ML development or 12–15 years of related work experience without a degree.
- Proficiency in Python and AI frameworks (TensorFlow, PyTorch).
- Experience with cloud platforms (Azure AI stack, Databricks).
- Knowledge of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines.
- Understanding of engineering and construction workflows is a plus.
- Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Familiarity with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
- Experience with knowledge graphs, agent-based AI systems, and predictive analytics.
We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary.
Background Check and Drug Screen may be required.
Talascend is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.