Software Engineer
Adept Global is hiring an MLOps Software Engineer for their AI-driven warehouse intelligence platform. The role focuses on designing and maintaining Python-based backend tools, scalable data pipelines using Kafka, and deploying models via NVIDIA Triton Inference Server. Candidates should have production-level Python experience and strong knowledge of containerization and CI/CD. The position offers ownership over end-to-end features in a fast-paced startup environment.
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Experience
2+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Adept Global is hiring an MLOps Software Engineer for their AI-driven warehouse intelligence platform. The role focuses on designing and maintaining Python-based backend tools, scalable data pipelines using Kafka, and deploying models via NVIDIA Triton Inference Server. Candidates should have production-level Python experience and strong knowledge of containerization and CI/CD. The position offers ownership over end-to-end features in a fast-paced startup environment.
TAL's take
Solid mid-level engineering role in a niche domain (MLOps/Warehouse intelligence), though company is not a major brand.
The JD is very clear, defining the role's stack (Python, Triton, Kafka) and core responsibilities effectively.
Must haves
- 2+ years experience in Python application development in production
- Hands-on experience with NVIDIA Triton Inference Server
- Strong software design skills for modular and scalable systems
- Experience with Kafka or distributed messaging systems
- Proficiency with Git, CI/CD, and Docker
Tools and skills
Nice to have: mlflow, dvc, airflow, ansible.
About the company
unfamiliar company, default mid-tier.
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