Junior AI / Machine Learning Engineer
West Chester, PA, US • Posted 9 hours ago • Updated 40 minutes ago

Strategic Staffing Solutions
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Job Details
Skills
- Junior
- AI
- Machine
- Learning
- Engineer
Summary
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.
- Dice Id: sssmi
- Position Id: JOB-244769
- Posted 9 hours ago
Company Info
Strategic Staffing Solutions (S3) is a woman-owned, global IT consulting and business services corporation that delivers staff augmentation, managed services, total workforce management programs and direct hire recruiting with industry expertise in financial services, energy and utilities, oil, healthcare and insurance, telecommunications and retail distribution. S3’s Consultants are placed with Customers through the U.S., Europe and the Americas. Founded in Detroit, MI in 1990, S3 has reported consistent growth and profit every year and carries zero debt.
S3 Diversity Statistics
S3 has a 50/50 split among male/female employees; 60% of S3 employees identify as non-white; S3 s leadership team are 50% women; S3 currently employs 73% military veterans, military spouses and military affiliates.
Staffing Industry Analysts CCWP Charter Partner
S3 is the only charter partner for Staffing Industry Analysts Certified Contingent Workforce Professional (CCWP) program- a one-of-a-kind accreditation program designed for all professionals managing corporate contingent staffing.
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