This position is posted by Jobgether on behalf of
SynergisticIT . We are currently looking for a
ML/AI Engineer
in
Colorado (USA) .
This role is perfect for early-career developers or recent graduates who want to specialize in machine learning, artificial intelligence, and cloud-integrated backend development. You will work on real-world projects that combine Java, DevOps, and AI/ML technologies, gaining hands-on experience with scalable APIs, cloud deployment, and CI/CD automation. The position offers mentorship, project-based learning, and opportunities to collaborate with experienced engineers while building a portfolio of production-ready applications. You will develop advanced technical skills, strengthen problem-solving capabilities, and gain the experience necessary to accelerate your tech career in high-demand fields.
Accountabilities:
As an ML/AI Engineer, your responsibilities include:
Developing and deploying machine learning and AI solutions in cloud environments such as AWS or Azure.
Building scalable APIs and backend systems using Java, Spring Boot, and microservices architecture.
Managing CI/CD pipelines with tools like Jenkins, Docker, GitHub Actions, and Kubernetes.
Integrating DevOps practices into software development workflows for automated testing and deployment.
Collaborating with cross-functional teams to implement real-world AI/ML use cases.
Writing clean, maintainable code and participating in code reviews to ensure software quality.
Maintaining documentation, project artifacts, and contributing to knowledge-sharing sessions.
Requirements
The ideal candidate will have:
A Bachelor’s degree in Computer Science, Engineering, Mathematics, or related fields.
Hands-on experience or coursework in Java, Spring Boot, REST APIs, and microservices architecture.
Familiarity with DevOps tools and cloud platforms, including Docker, Jenkins, Kubernetes, AWS, or Azure.
Exposure to machine learning and AI concepts, Python, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Understanding of CI/CD pipelines, automated testing, and software deployment processes.
Strong problem-solving skills, analytical thinking, and a collaborative mindset.
Enthusiasm for learning, mentorship, and applying AI/ML techniques to practical software solutions.
Benefits
This role offers a comprehensive benefits package including:
Hands-on experience with ML/AI, backend development, cloud computing, and DevOps projects.
Mentorship from experienced engineers and structured career guidance.
Flexible work arrangements including remote options.
Exposure to real-world, production-level applications for portfolio building.
Resume and LinkedIn branding support tailored for tech employers.
Mock interviews, code reviews, and career placement assistance.
Access to a network of top technology employers and job opportunities.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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