Senior AI/ML Engineer (Remote, EST, Anywhere in Pakistan, USD Salary)
A USD 119K-180K (estimate) Senior-level Full Time
Tasks
- Build LLM powered conversational interfaces
- Build ML pipelines for anomaly detection
- Build ML pipelines for classification
- Build ML pipelines for prediction
- Collaborate with product and data and engineering teams
- Deploy test and maintain AI services
- Develop AI agents with structured output
- Develop backend APIs and services
- Ensure code quality, documentation, and best practices
- Fine-tune models
- Implement monitoring and evaluation pipelines
- Implement retrieval augmented generation systems
- Implement time series analysis
- Integrate data sources models and client applications
- Monitor models in production
- Optimize model performance for production
- Translate business requirements into technical solutions
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS EC2 | AWS ECS | Amazon S3 | Anomaly Detection | CI/CD | Docker | Embedding | Experiment tracking | FastAPI | Feature Engineering | Gradient boosting | Hyperparameter Tuning | Internationalization | JWT | LightGBM | MAE | ML evaluation | MLflow | MLflow Tracking | Machine Learning | Migrations | MongoDB | NL-to-SQL | OAuth2 | PGVector | PostgreSQL | PostgreSQL JSONB | Prompt engineering | Pydantic | Pydantic AI | Qdrant | Query Optimization | R2) | REST API | Redis | Row Level Security | SQL | SQLAlchemy | Segmentation | Snowflake | Snowpark | Text to Query | Time Series | Token Tuning | Train Test Split | Train/Test | Vector similarity | XGBoost
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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