AI Architect with agentic and nvidia experience
ApTask
Dulles, United States of America
14 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Dulles, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Continuous Integration
Monitoring of Systems
Python
Machine Learning
Software Tools
TensorFlow
SQL Databases
Web Application Frameworks
Feature Engineering
Data Ingestion
PyTorch
Spark
Scikit Learn
Information Technology
Data Analytics
Machine Learning Operations
Data Pipelines
Databricks
Job description
The AI Architect is responsible for assessing and designing complex solutions to meet our client's technology and business needs. Incumbents manage project teams that consult with our clients to analyze and identify technical requirements. Incumbents are subject matter experts for strategic client opportunities.
As an AI Architect you will:
- Lead the design and architecture of AI/ML solutions tailored to client business needs, ensuring scalability, reliability, and performance.
- Collaborate with clients and internal teams to gather, analyze, and refine technical and business requirements.
- Oversee the prototyping, iteration, and productionization of DS/ML models and AI systems, guiding engineering teams through best practices.
- Architect end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and MLOps.
- Integrate AI/ML solutions with existing client infrastructure, leveraging cloud platforms (Azure, AWS) and modern frameworks (Databricks, Apache Spark).
- Validate and optimize deployed models and solutions, ensuring alignment with business objectives and technical standards.
- Provide technical leadership and mentorship to client and internal teams on DS/ML architecture and implementation.
- Be Ambitious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related technical field, or equivalent hands-on experience.
- Proven expertise in architecting, building, and deploying machine learning models and AI systems in production environments.
- Deep proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.), as well as SQL and data engineering tools.
- Experience with cloud platforms (Azure, AWS) and MLOps practices (CI/CD, model monitoring, automated retraining).
- Strong background in data analytics, big data platforms (Apache Spark), and scalable data pipelines.
About the company
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.