Junior AI / Machine Learning Engineer (AI)

TL;DR

Junior AI / Machine Learning Engineer (AI): Developing, deploying, and supporting enterprise-grade data platforms, microservices, web applications, and AI/ML solutions with an accent on AWS-based machine learning development, model deployment, and cloud-native engineering. Focus on assisting in the design, development, training, deployment, and monitoring of ML models and supporting automated ML workflows.

Location: West Chester, PA (Hybrid)

Company

hirify.global is a company specializing in providing staffing and talent acquisition solutions.

What you will do

• Assist in the design, development, training, deployment, and monitoring of machine learning models using AWS services.
• Support automated ML workflows for training, testing, and deployment using AWS Step Functions, Lambda, and CI/CD pipelines.
• Monitor model performance and assist with tuning, retraining, and optimization.
• Participate in the full Application Lifecycle Management (ALM) lifecycle.
• Collaborate with data scientists, software engineers, and business stakeholders to deliver AI/ML solutions.
• Develop and maintain microservices and APIs supporting ML and data workflows.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field.
• 1–3+ years of professional experience in AI/ML, data engineering, or software development.
• Hands-on experience with AWS cloud services, especially SageMaker, Lambda, EC2, S3.
• Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, scikit-learn.
• Familiarity with microservices architecture and distributed systems concepts.
• Experience with version control and CI/CD tools (Git, Jenkins, AWS CodePipeline).

Nice to have

• Experience in financial services, insurance, or other regulated industries.
• Familiarity with additional AWS services such as Glue, Athena, DynamoDB, Kinesis, or Redshift Spectrum.
• Exposure to containerization tools (Docker).
• Knowledge of NLP, computer vision, reinforcement learning, or generative AI concepts.

Culture & Benefits

• Hybrid work environment.
• Opportunity to work on mission-critical enterprise AI initiatives with senior engineering mentorship.
• Work effectively in an Agile, fast-paced environment.
• No direct people management or budget responsibility.
• Limited travel (0–10%).