Position: Cloud/MLOps Software Engineer
Company: Marbazzar Inc.
Experience required: 3y
English level: upper

Marbazzar.ai is designed for the Gen-Z and Alpha consumers who demand engaging, interactive, and personalized shopping experiences. Our platform allows users to create personalized 3D avatars using Generative AI, reflecting their unique body shapes and sizes, promoting a body-positive shopping environment. 🙌

From static 2D images to dynamic 360° 3D experiences, Marbazzar brings products to life right before your eyes. Shoppers can try on clothes virtually, reducing the rate of returns and increasing buyer satisfaction. 

For our e-commerce partners, we offer an opportunity to boost conversions and provide an immersive shopping experience to customers. We make it easy to transform your inventory into AR, creating a shopping experience like never before. In fact, sharing Marbazzar with fellow sellers could fast-track your registration. 

At Marbazzar, we believe in a greener planet and by reducing return rates, we aim to contribute to a more sustainable future. 🎉

**Responsibilities**
- Build up from the PoC phrase, MVP, and then to the production on the market;
- Implementation to bring up the user experience applying some of the in house libraries and services;
- As an MLOps cloud engineer on our team, you’ll use your development experience to streamline our development life cycle from development to production;
- Implement continuous integration and deployment to development, testing, and production environments;
- Work on containerization, and serverless while developing software that will improve national security;
- Be the go-to person and subject matter expert for MLOps to provide support the data scientists, data engineers, and data architects.

**Qualifications**
- Master in Computer Science with 3 years of mobile experiences, equivalent or higher;
- Expert experience in Lambda, API Gateway, S3, CloudFormation, and IAM permissions, leveraging MLOps platforms and ML CI/CD/CT workflows to manage datasets and model training, deployment, and monitoring Knowledge of the Machine Learning Workflow;
- Security Certification holder includes but not limited to CE, SSCP, CCNA-Security, or GSEC is preferred;
- Experience with using ML tools, such as SageMaker, Python, TensorFlow, scikit-learn, PyTorch, Kubeflow, MLflow, or similar frameworks;
- Experience with design and implementation, including building, containerizing, and deploying end to end automated data and ML pipelines, within a cloud environment;
- Experience with version control tools, including Git;
- Experience leading a team of developers or converting requirements into technical documentation;
- Knowledge of the ML life cycle and concepts to develop an MLOps ecosystem;
- Experience in collaboration with UX;
- Can-do attitude is a MUST.
- Knowledge in Computer Vision, Machine Learning, and/or 3D Graphics are a BIG plus.

**Compensation**
- Top-tier salary and benefits;
- Meal card, free office food and drinks;
- Gym and internet reimbursements;
- Company phone with bill coverage (if applicable);
- High-end gear for specific roles;
- Unlimited paid time off with 20 working days minimum;
- Unlimited sick days;
- Full maternity leave;
- 13th-month salary bonus (some conditions apply).

Employer of Equal Opportunities
At Marbazzar, our core values are Integrity, Innovative Courage, People-Centricity, Zero Tolerance for Broken, Customer Centricity, Embracing Diversity, and Striving for Simplicity. We are firmly committed to being an employer that values equality, fostering a workspace where diversity and inclusion form the very essence of our identity.

Our aim is to bring together a workforce that mirrors the diversity of our customer base, enabling us to design products and services that optimally cater to our clients' needs. We firmly adhere to the principle of non-discrimination in our employment practices. We do not base our employment decisions on race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status.

In all our practices, we strictly comply with local, state, and federal employment laws, ensuring that our commitment to equal opportunity extends to all aspects of employment.