INVOKE · 4 days ago

Sr. AI Engineer

Atlanta Metro

Full-time

Remote

Senior Level

7+ years exp

Maximize your interview chances

Business IntelligenceConsulting

Insider Connection @INVOKE

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Evaluate long-term direction and recommend solutions to scale with our rapid growth, specifically tailored to support the US Public Sector.

Collaborate with team members on key architecture decisions, considering the unique requirements and constraints of the US Public Sector.

Develop high-quality machine learning models and solutions that align with the needs and regulations of the US Public Sector.

Regularly collaborate with other developers, project managers, and customers in the US Public Sector to successfully complete projects.

Participate in regular code reviews, often in a mentorship role with other engineers, and ensure compliance with relevant US Public Sector standards and guidelines.

Create and refine best practices, coding standards, and documentation, taking into account the specific requirements of the US Public Sector, and actively share knowledge and insights with the team.

Make recommendations to refine and improve our engineering practices, with a focus on compliance, security, and efficiency for US Public Sector deployments.

Help us grow the team by being a core part of the hiring process, ensuring that candidates possess the necessary skills and expertise to support the unique challenges of the US Public Sector.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonMachine LearningOpen-Source LLMsDockerAWSDevOpsSolution Architecture

Required

Bachelor's or master’s degree in computer science, computer engineering, or a related technical field.

7+ years of experience in software engineering working with one or more of the following programming languages: Python, Ruby, NodeJS, Java, C#.

3+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, artificial intelligence, or a related technical field.

Proven experience leading and managing machine learning, deep learning, and AI projects.

Experience with Open-Source Large Language Models (LLMs) and complementary tools: PyTorch, tensorflow, LangChain, LLAMA CCP, etc.

Experience with developing machine learning models at scale from inception to business impact, while considering the unique requirements and compliance needs of the US Public Sector.

Track record of setting technical direction for a team, driving consensus, and establishing successful cross-functional partnerships, with an understanding of the specific challenges faced in the US Public Sector.

Experience with containerization and container orchestration technologies (e.g., Docker, Kubernetes, Airflow) and their application to machine learning workflows, adhering to US Public Sector standards and regulations.

Experience with cloud-based services; AWS preferred (e.g., EKS, Lambda, Sagemaker), with a strong understanding of cloud security practices and compliance requirements in the US Public Sector.

Experience with DevOps practices and CI/CD tools (e.g., Git, GitHub Actions), ensuring reliable and compliant software delivery in the US Public Sector.

Proven experience as a solution architect, software architect, or a similar role, with a focus on machine learning, and a deep understanding of the specific challenges and needs of the US Public Sector.

Excellent problem-solving and analytical skills, with the ability to translate complex business requirements into technical solutions, while considering the unique constraints of the US Public Sector.

Effective communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders within the US Public Sector.