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Leading IT Recruitment expert driving Quality Assurance at Mastech Digital I MBA

W2 role only!

Job Description:

We are seeking a highly skilled AI Engineer with a strong background in programming with Python and DevOps practices. The ideal candidate will have extensive experience working with Large Language Models (LLMs) and prompt engineering. The candidate should be proficient in deploying applications rapidly to AWS and have a deep understanding of cybersecurity, identity management, and Single Sign-On (SSO) with applications. Additionally, expertise in managing roles and policies within AWS is essential.

Key Responsibilities:

1. Develop, implement, and optimize AI models, particularly focusing on Large Language Models (LLMs).
2. Design, build, and maintain efficient, reusable, and reliable Python code to create scalable AI and machine learning solutions.
3. Implement prompt engineering techniques to improve model accuracy and effectiveness.
4. Utilize DevOps practices to automate and streamline the deployment, management, and monitoring of software systems in an AWS environment.
5. Deploy AI and machine learning applications rapidly and effectively using AWS services.
6. Ensure secure deployment and management of applications by implementing robust cybersecurity measures and best practices.
7. Manage and streamline identity management and SSO within applications to ensure secure and efficient user access.
8. Configure and manage roles and policies in AWS to maintain secure and compliant cloud infrastructure.
9. Collaborate with cross-functional teams to define and achieve project milestones and deliverables.

Years of Experience: 6-8

Required Skills:

1. Programming: Advanced proficiency in Python, with a strong understanding of its libraries and frameworks used for AI and machine learning.
2. AI/ML Expertise: Extensive experience working with Large Language Models (LLMs), prompt engineering, and machine learning algorithms.
3. DevOps: Proven experience in DevOps practices, including CI/CD pipelines, automation, and infrastructure as code.
4. AWS Proficiency: Deep knowledge of AWS services, including EC2, S3, Lambda, SageMaker, RDS, IAM, and CloudFormation.
5. Cybersecurity: Strong understanding of cybersecurity principles and best practices.
6. Identity Management and SSO: Expertise in identity management, SSO, and integrating these with applications.
7. AWS Roles and Policies: Proficiency in configuring and managing roles and policies within AWS to ensure secure and compliant operations.
8. Cloud Deployment: Ability to deploy applications rapidly and effectively to AWS.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting