Specialist - AI & ML
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build GenAI enhanced prediction engines
- Build and deploy machine learning models
- Build and optimize ETL and ELT pipelines
- Build data compression solutions
- Build data science pipelines
- Build model evaluation and performance dashboards
- Build recommendation engines
- Deploy production models on cloud platforms
- Design and integrate LLM prompt pipelines
- Develop NLP classifiers
- Develop supervised unsupervised and reinforcement learning solutions
- Fine tune models and build inference architecture
- Implement anomaly detection and forecasting
- Integrate data pipelines with BI tools
- Monitor model drift and manage retraining
- Orchestrate ML workflows
- Own machine learning lifecycle from ingestion to deployment and retraining
Perks/Benefits
- N/A
Skills/Tech-stack
AI Platform | API Gateway | AWS Lambda | AWS SageMaker | AWS Step Functions | Apache Airflow | Apache Kafka | Azure Machine Learning | Azure OpenAI | Bayesian Methods | Clustering | Computer Vision | Deep learning | Docker | ELT | ETL | Fine Tuning | Git | Google AI | Google AI Platform | Google Gemini | Hugging Face | Hugging Face Transformers | Information theory | LLM | Language Processing | Linear Algebra | Machine Learning | Model Deployment | Model Fine-tuning | Model Monitoring | Natural Language | Natural Language Processing | OpenCV | Power BI | Prompt engineering | PyTorch | Python | QlikSense | RPA | Regression | Reinforcement Learning | Retraining | SQL | Scikit-learn | Spacy | Statistical inference | Step Functions | Supervised Learning | TensorFlow | Unsupervised Learning | XGBoost
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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