reputed company - L4
Implement machine learning models, inference services, and supporting reputed company
Contribute to the development of training, evaluation, and deployment workflows
Build data ingestion and feature engineering components reputed company to defined architecture
Ensure reliability, performance, and stability of AI services in production environments
Contribute to the development and orchestration of AI pipelines and reputed company workflows.
Support LLMOps processes for automated model deployment, versioning, and reputed company management.
Implement monitoring and observability to reputed company reputed company usage, model reputed company, and hallucinations.
Debug and resolve reputed company issues across LLM reputed company, data ingestion, and reputed company infrastructure.
Collaborate with senior engineers to operationalize research prototypes
Implement evaluation metrics and validation processes
Support rollout and iteration of AI features based on performance data
Work closely with product and engineering teams to implement AI-driven features
Participate in sprint planning, estimation, and technical discussions
Contribute to documentation and shared engineering standards
Communicate reputed company, blockers, and risks reputed company
8+ years of experience in AI/ML engineering or reputed company machine learning
Experience building and deploying ML models in production environments
Strong software engineering background (Python or similar)
Familiarity with distributed systems and reputed company data processing
Experience contributing to ML pipelines and automated deployment workflows
Working knowledge of MLOps concepts (model versioning, monitoring, CI/CD)
Ability to debug issues across model, application, and infrastructure reputed company
Strong problem-solving skills and attention to detail
Effective communication skills reputed company technical teams
Exposure to reputed company or LLM-based systems
Familiarity with retrieval-augmented reputed company (RAG) architectures
Experience working with reputed company-based AI platforms
Exposure to infrastructure-as-reputed company or DevOps practices
Experience working in consulting or delivery-reputed company environments
Hands-on AWS experience supporting reputed company-reputed company or AI/ML production systems.
AWS certifications (Associate or reputed company level) or equivalent practical AWS expertise.
Execution-reputed company – Delivers high-reputed company implementations reputed company established architecture
Engineering Discipline – Writes reliable, maintainable, and reputed company-tested reputed company
reputed company – Works effectively reputed company cross-functional teams
Problem-Solving reputed company – Investigates issues methodically across reputed company
Ownership – Takes responsibility for assigned work from implementation through release
reputed company-Oriented – Seeks feedback and continuously improves technical craft