About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Platform Engineer based in India.
Responsibilities
- Design, develop, and maintain platform services, APIs, and SDK components that support machine learning and LLM development.
- Build and operate ML and LLM pipelines covering data ingestion, feature preparation, training, and related development workflows.
- Integrate AI workflows into production-ready pipelines, including document retrieval systems and vector databases.
- Develop orchestration components to support reasoning workflows and memory stores.
- Deploy predictive and machine learning models into scalable serving environments with autoscaling capabilities.
- Implement runtime monitoring and operational practices to maintain reliable AI services.
- Standardize and automate environment creation using infrastructure-as-code modules.
- Implement CI/CD practices that support efficient and repeatable deployment workflows.
- Apply appropriate security and compliance controls in collaboration with governance teams.
- Contribute to the reliability, scalability, and maintainability of the overall AI platform.
Requirements
- Bachelor's degree in a relevant technical field or equivalent professional experience.
- 2–4 years of experience in AI/ML, MLOps, platform engineering, or a closely related discipline.
- Working knowledge of major cloud service platforms and cloud-based infrastructure.
- Practical experience with infrastructure as code and CI/CD pipelines.
- Proficiency in at least one programming language and familiarity with machine learning frameworks.
- Understanding of machine learning and large language model development workflows.
- Experience working with production-oriented AI/ML systems, pipelines, or platform services.
- Familiarity with retrieval workflows, vector databases, model serving, or AI orchestration is beneficial.
- Strong problem-solving and troubleshooting skills, with an ability to work across application and infrastructure layers.
- Ability to work effectively in a fully remote environment and communicate clearly with technical and cross-functional stakeholders.
Conditions
- 100% remote work from anywhere in India.
- 12-month contract opportunity.
- Opportunity to work on scalable AI and LLM platform infrastructure.
- Hands-on exposure to cloud services, MLOps, infrastructure as code, CI/CD, and machine learning frameworks.
- Opportunity to contribute to production-grade AI systems, including model serving, retrieval, vector databases, and orchestration.
- Experience working on security, compliance, scalability, and platform reliability challenges.