Sr Machine Learning Engineer (MLOps) - Remote India
Dynatron6+ yrsRemoteDirect career pageEst. 20–35 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own the end-to-end production lifecycle of ML and AI capabilities including deployment pipelines, monitoring, retraining, and governance.
- Operate and maintain reliability, observability, security, and cost-effectiveness of both traditional ML and generative AI/LLM workloads.
- Collaborate closely with US-based data science teams, taking significant operational ownership during India work hours for model production environments.
Minimum Requirements
- 6+ years total software, data, or ML engineering experience with at least 3+ years deploying and operating AI/ML systems in production.
- Strong experience with both traditional machine learning and large language model (LLM) workloads in production environments.
- Proficient with cloud platforms (AWS preferred), ML CI/CD, containerization, infrastructure as code, and Python programming.
- Bachelor's degree in Computer Science, Engineering or related technical field, or equivalent practical experience.
Ideal Candidate Profile
- Experienced senior engineer comfortable owning complex production ML/AI infrastructure with strong operational troubleshooting and incident management skills.
- Expertise in generative AI/LLM systems including operational controls, monitoring token usage, cost management, and governance practices.
- Effective collaborator across distributed US-India teams with proven ability to establish repeatable standards and automate manual ML deployment operations.