Architect
IN-UP-Noida-Candor TechSpace Tower 1, India
INR 3100K-4500K (estimate) Senior-level Full Time
Tasks
- Analyze experiment results
- Architect machine learning platforms
- Build API interface services
- Build chat applications
- Build ingestion pipelines
- Build machine learning models
- Build search applications
- Collaborate with cross-functional teams
- Communicate technical concepts to non-technical stakeholders
- Deploy AI applications
- Deploy machine learning models
- Design machine learning models
- Develop Python production code
- Develop agentic AI solutions
- Engineer model features
- Evaluate machine learning models
- Implement AI guardrails
- Implement RAG
- Mentor engineers on machine learning best practices
- Perform prompt engineering
- Secure model deployment
- Tune algorithms for business needs
- Validate inputs
- Verify data
- Write CI/CD pipeline code
Perks/Benefits
- Background check as required by role
- Continuing education and training
- Flexible leave
- Health coverage
- Retirement benefits
- Vacation and sick leave
- Wellbeing programs
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Agile | Amazon SageMaker | Apache Spark | CI/CD | CNN | Data Engineering | Data Preparation | Data Transformation | Data cleaning | Deep learning | Feature Engineering | GitHub Actions | GitLab CI | Guardrails | Ingestion pipelines | Java | JavaScript | Jenkins | Keras | LLM security | Language Models | Large Language Models | Model Evaluation | Prompt engineering | PySpark | PyTorch | Python | RAG | RNN | Reinforcement Learning | Scala | Spring AI | Spring Boot | TensorFlow | TensorFlow-Keras
Education
Roles
AI | AI/ML Architect | Architect | Learning Architect | ML Architect | Machine Learning Architect
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