Orchestro AI

SAHYOG GALACTICA INDIA TECHNOLOGIES PRIVATE LIMITED is a subsidiary of Orchestro.Ai a US based startup in the logistic space.

About Us :

Orchestro.ai is an innovative startup on a mission to revolutionize the logistics industry by building an Open Parcel Network. Our AI-driven platform is designed to optimize parcel delivery and drive efficiencies across the supply chain. We are seeking a hands-on MLOps Engineer to ensure a world-class CI/CD process that supports the rapid development, deployment, and scaling of our AI/ML models.

Job Description:

As an MLOps Engineer, you will play a crucial role in building and maintaining the infrastructure that allows for seamless deployment and monitoring of AI/ML models in production. You will be responsible for designing, implementing, and optimizing CI/CD pipelines that ensure the stability, scalability, and performance of our AI-driven platform. This role requires a strong technical background in both software engineering and machine learning operations, with a focus on automation, reliability, and continuous improvement.

Key Responsibilities :

CI/CD Pipeline Development :

- Design, implement, and maintain robust CI/CD pipelines that automate the building, testing, and deployment of AI/ML models and software components.

Model Deployment :

- Work closely with data scientists and ML engineers to deploy models into production, ensuring they are scalable, reliable, and easily Management :

- Manage cloud infrastructure (AWS, GCP, Azure) and container orchestration systems (Kubernetes, Docker), ensuring they support efficient model deployment and scaling.

Monitoring and Logging :

- Implement monitoring, logging, and alerting systems to track model performance, detect issues, and ensure uptime and :

- Automate repetitive tasks and processes, reducing manual effort and minimizing the risk of errors in :

- Collaborate with platform engineers, data scientists, and product teams to integrate MLOps best practices into the development lifecycle.

Security :

- Ensure that all CI/CD processes adhere to security best practices and comply with industry standards and Improvement :

- Stay up-to-date with the latest MLOps tools and methodologies, continuously improving the CI/CD processes to enhance efficiency and :

Education :

- Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus.

Experience :

- 3-5 years of experience in DevOps, MLOps, or a related field, with a focus on CI/CD pipelines and infrastructure management for AI/ML platforms.

Technical Expertise :

- Proficiency in CI/CD tools (Jenkins, GitLab CI, CircleCI) and automation frameworks.

- Strong experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).

- Familiarity with machine learning frameworks (TensorFlow, PyTorch) and model deployment tools (MLflow, Kubeflow).

- Experience with infrastructure as code (Terraform, Ansible) and configuration management.

- Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK :

- Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues in a fast-paced :

- Excellent teamwork and communication skills, with the ability to work closely with cross-functional teams.

Innovation :

- A passion for automation, continuous improvement, and staying current with emerging MLOps technologies.

Why Join Us ?

- Be part of a groundbreaking project that is redefining logistics and parcel delivery through AI.

- Work in a dynamic and collaborative startup environment where your contributions have a direct impact.

- Collaborate with a talented team of engineers, data scientists, and product leaders.

- Competitive salary and equity options.

- Opportunities for career growth and professional development in a rapidly evolving field.

- Fun working environment that celebrates outcomes while encouraging continuous learning and exploration of bold new ideas.