AI/ALM developer
Listed on 2025-12-31
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Title: AI/ALM Developer
Location: Remote
Employment Type: Full-Time
Experience Level: 4-8 years
About the RoleWe are seeking a skilled AI/ALM Developer to design, develop, and implement intelligent automation and lifecycle management solutions that enhance software delivery and operational efficiency. The ideal candidate will have experience working with Artificial Intelligence (AI), Machine Learning (ML) models, and Application Lifecycle Management (ALM) tools to streamline end-to-end development and deployment processes.
You will collaborate with cross-functional teams — including Data Science, Dev Ops, and Engineering — to integrate AI-driven insights into ALM systems, enabling predictive maintenance, smart analytics, and automation across the development lifecycle.
Key Responsibilities- Design and develop AI/ML-based solutions to enhance ALM processes such as testing, deployment, and monitoring.
- Integrate AI algorithms into ALM platforms (e.g., Azure Dev Ops, Jira, Git Lab, or Service Now).
- Automate repetitive lifecycle management tasks using Python, REST APIs, and scripting tools.
- Work with data scientists and engineers to build, train, and deploy machine learning models in production environments.
- Develop custom dashboards and analytics for predictive insights, quality tracking, and release management.
- Optimize CI/CD pipelines by embedding intelligent testing, code analysis, and anomaly detection.
- Collaborate with stakeholders to define automation strategies, data pipelines, and governance standards.
- Monitor system performance, maintain model accuracy, and ensure seamless ALM tool integration.
Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- 4-8 years of experience in software development, AI integration, or ALM automation.
- Strong programming experience in Python, Java, or C#.
- Hands‑on experience with AI/ML frameworks (Tensor Flow, PyTorch, Scikit‑learn).
- Familiarity with ALM tools such as Azure Dev Ops, Git Lab, Jenkins, Jira, or Service Now.
- Proficiency in RESTful API development and integration.
- Solid understanding of Dev Ops, CI/CD, and MLOps principles.
- Experience with data processing (SQL, Pandas, Num Py) and cloud platforms (AWS, Azure, or GCP).
- Excellent analytical, problem‑solving, and communication skills.
- Experience developing AI-driven automation or predictive analytics for software lifecycle management.
- Familiarity with LLMs (Large Language Models) or AI copilots for developer productivity.
- Exposure to Docker, Kubernetes, and microservices architectures.
- Certification in AI/ML, Azure Dev Ops, or AWS Machine Learning Specialty is a plus.
- Work at the intersection of AI innovation and enterprise automation.
- Collaborate with a forward-thinking team driving next‑gen software delivery.
- Access to continuous learning, cutting‑edge technologies, and AI tools.
- Competitive compensation, flexible work options, and career growth opportunities.
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