AI/MLOps Engineer (CR-AIML01)

About the role

• We are looking for a versatile senior engineer blending software engineering data engineering and modern AI/ML development skills. 
• Youll build and operate the critical systems underpinning our AI/ML/data infrastructure focusing on practical scalable solutions.
• Your core tasks involve creating core data infrastructure integrating and deploying AI models especially leveraging APIs and LLMs. 
• This requires hands-on work with cloud platforms containerization and infrastructure automation tools. 
• It also includes close collaboration with the Backend and DevSecOps Engineers.
• Your impact will be direct: enabling new AI-powered features collaborating across technical boundaries to effectively merge data software and AI using modern engineering practices.
• This position has a very wide impact in the organization is very visible and is expected to deliver impactful solutions with minimal supervision.

Responsibilities

• Integrating and operationalizing AI/ML models (esp. via APIs and LLMs)
• Building & maintaining robust data pipelines (ETL/ELT)
• Developing and deploying scalable services & APIs incl. containerization
• Managing cloud infrastructure using Infrastructure-as-Code (IaC)
• Managing diverse data storage solutions (warehouses databases)
• Implementing reporting (dashboards as-code in Holistics) system monitoring logging and alerting
• Automating build test and deployment workflows (CI/CD)
• Troubleshooting issues across data application and infrastructure layers
• Collaborating closely across all engineering and product teams

Qualifications :

What youll bring

Were looking for someone who:

• Experience deploying or integrating AI/ML models/services (e.g. using APIs understanding MLOps fundamentals) (Flux ComfyUI experiences are plus)
• Strong programming skills with a preference for Python with demonstrated experience developing and deploying scalable backend services and APIs
• Proven experience building deploying and maintaining data pipelines (ETL/ELT)
• Has Hands-on experience with at least one major cloud provider (AWS GCP Azure)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with Infrastructure as Code principles and tools (e.g. Terraform)
• Solid understanding of various database technologies (SQL NoSQL)
• Has experience in implementing and utilizing CI/CD practices and tools like Jenkins GitHub Actions Fast lane
• Is a strong stakeholder management and communication skills with the ability to organize cross-functional requests and explain complex ideas in plain English
• Is proactive and collaborative takes initiative and delivers results with minimal supervision
• Has eagerness to learn new technologies and adaptable to changing requirements in a fast-moving AI environment
• Strong time management and ability to prioritize tasks effectively
• Strategic thinker with strong problem-solving skills
• Practical experience building and deploying predictive models
• Staying updated with the latest trends in AIOps cloud technologies and infrastructure automation.

Additional Information :

Why Join Crenno Studio:

• Opportunity to work with a leading IT service provider and contribute to innovative projects and solutions
• Competitive salary and benefits package
• Dynamic and collaborative work environment with opportunities for growth and advancement
• Chance to work with a diverse and talented team of professionals in a global organization
• Continuous learning and professional development opportunities

Crenno is proud to be an equal opportunity workplace and is an affirmative action employer. 
We make recruiting decisions without regard to race color religion national or ethnic origin age gender sexual orientation marital status veteran status or disability status.
We actively seek diversity and encourage applications from everyone. If youre interested in this role but your experience doesnt perfectly match the description please still apply. If this role excites you and youre confident you can do the job we encourage you to apply!

Remote Work :

No

Employment Type :

Full-time