AIML Engineer

We are seeking an AI Engineer to drive innovation in our SDLC processes using artificial intelligence and automation. This role is ideal for an engineer passionate about automation and applying AI/ML techniques to improve reliability, observability and operational focus of this role is not to support external AI/ML product teams but to internally develop AI-driven solutions that optimize SDLC processes, reduce toil and increase automation maturity across the organization.

• Developer experience and productivity
• Intelligent test management using data analytics and predictive techniques
• Agentic AI MCP implementation and RAG techniques
• Intelligent alerting and noise reduction
• Automated incident classification and root‑cause analysis
• CI/CD optimization based on historical trends
• Using GenAI for IaC
• Any other innovative use‑cases.

Work closely with Development, Dev Ops and Infrastructure teams to identify automation opportunities and pain points.

Develop automation scripts and tooling to reduce manual tasks, operational efficiencies and user experience.

Build, deploy and maintain pipelines to train and continuously improve AI models for Dev Ops use‑cases.

Collaborate with Infrastructure, Cloud and Dev Ops teams to create architecture/design documents for proposed solutions.

Ensure operational reliability, scalability and performance of AI-driven automation tooling.

Integrate AI solutions into monitoring.

Experience with Agile Scrum and Dev Ops methodologies.

Experience working in Developer IDEs such as Eclipse, IBM Rational Application Developer, STS, etc.

Create technical and design documentation as required.

Perform system analysis, troubleshooting, diagnosis and problem resolution. Analyze software for defects and performance tuning opportunities.

• Manage repositories, branching strategies and access control.
• Automate workflows using Git Hub Actions or similar CI/CD tools.
• Maintain code quality and integration processes.
• Define and implement governance rules.

Other duties as assigned.

Bachelor's degree in Computer Science, Engineering or equivalent experience.

3 years in Development/Automation roles.

Strong background in cloud‑native infrastructure (AWS, Azure or GCP).

Proficiency in automation and scripting (Python is preferred; Bash, etc.).

Solid understanding of CI/CD pipelines.

Experience with cloud-native technologies.

Experience applying AI/ML techniques to solve engineering problems (e.g., anomaly detection, classification, clustering).

Familiarity with Python machine learning frameworks (e.g., Scikit‑learn, Tensor Flow, PyTorch).

Good understanding of monitoring, logging and observability tooling.

Experience with anomaly detection, predictive analytics or time‑series forecasting.

Knowledge of MLOps practices (for internal AI models).

Experience integrating AI solutions into Dev Ops tool chains and platforms.

Familiarity with infrastructure as code (Terraform, Pulumi, Cloud Formation).

Some working experience with Hyper‑V Virtual Machine Management.

Asset and service account management.

BMC Helix ticketing system.

• Proven ability to administer Git Hub Enterprise Cloud.
• Proven ability to analyze and resolve complex issues.
• Supporting and training end users on all levels.
• Hands‑on experience with Continuous Integration/Delivery models.
• Hands‑on experience with large development projects using Agile methodology.

• ASP.NET
• Health Education
• Fashion Designing
• Fiber
• Investigation

Employment Type: Full Time

Experience: years

Vacancy: 1