STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!
Job Title: Junior AI / Machine Learning Engineer
Location: West Chester, PA (Hybrid)
Duration: 12 months
Position Summary
The Junior AI / Machine Learning Engineer will be a member of a multidisciplinary Agile team responsible for developing, deploying, and supporting enterprise-grade data platforms, microservices, web applications, and AI/ML solutions. This role supports the full Application Lifecycle Management (ALM) process and works closely with senior engineers, data scientists, and business stakeholders to deliver secure, scalable, and high-quality AI-driven solutions.
The position has a strong emphasis on AWS-based machine learning development, model deployment, and cloud-native engineering in a regulated enterprise environment.
Key Responsibilities
- Assist in the design, development, training, deployment, and monitoring of machine learning models using AWS services (SageMaker, Lambda, EC2, S3, Redshift).
- 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 ALM lifecycle, including analysis, design, development, validation, deployment, and production support.
- Collaborate with data scientists, software engineers, and business stakeholders to gather requirements and deliver AI/ML solutions.
- Develop and maintain microservices and APIs supporting ML and data workflows.
- Manage, preprocess, and analyze datasets using AWS data services.
- Participate in code reviews, design reviews, and Agile ceremonies.
- Support DevSecOps practices, including automated testing, version control, and deployment pipelines.
- Maintain technical documentation for models, workflows, and systems.
- Provide Level 2+ production support as needed.
- Ensure compliance with data privacy, security, and enterprise governance standards.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field (preferred).
- 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, etc.).
- Understanding of basic DevOps and DevSecOps practices.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively in an Agile, fast-paced environment.
Preferred Qualifications
- 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).
- Experience with SQL and relational or NoSQL databases.
- Knowledge of NLP, computer vision, reinforcement learning, or generative AI concepts.
- AWS Certifications (Machine Learning – Specialty or Solutions Architect – Associate).
Additional Information
- Hybrid work environment.
- No direct people management or budget responsibility.
- Limited travel (0–10%).
- Opportunity to work on mission-critical enterprise AI initiatives with senior engineering mentorship.