Consultant - AI/ML - Bangalore
INR 1500K-2800K (estimate) Mid-level Full Time
Tasks
- Build MLops pipelines
- Build data mining and information retrieval solutions
- Build explainability privacy and fairness techniques
- Create CI/CD pipelines
- Deploy responsible AI framework
- Design and implement cloud ML solutions
- Develop AI applications with deep learning LLM and RAG
- Develop NLP based applications
- Develop and implement machine learning algorithms
- Embed AI ML services into enterprise architecture
- Enhance model accuracy using bias and variance
- Maintain databases for vector and object storage
- Manage model testing automation and monitoring
- Monitor and evaluate model performance
- Refactor optimize and containerize models
- Stay updated on AI ML security threats
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | CI/CD | CircleCI | Cloud platform | DataRobot | Deep learning | Docker | Explainability | Fairness | FastAPI | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Platform | Keras | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | Lucene | MLOps | MLflow | Machine Learning | Microsoft Azure | NLTK | Natural Language | Natural Language Processing | NoSQL | Object storage | OpenShift | Privacy | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Scikit-learn | Semantic Web | Solr | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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