Lead AIML
INR 4000K-4500K Senior-level Full Time
Tasks
- Apply ML algorithms for classification prediction anomaly detection
- Build NLP and NLU systems
- Build and optimize data pipelines
- Deploy and optimize models in production
- Design machine learning and AI solutions
- Develop and deploy machine learning models
- Develop prototypes and proof of concepts
- Implement and optimize neural networks and deep learning models
- Integrate external social media data sources
- Mentor engineering teams on AI/ML best practices
- Participate in AI architecture and experimentation frameworks
- Use structured and unstructured data for insights
Perks/Benefits
Skills/Tech-stack
AWS | AWS Lambda | Amazon Comprehend | Amazon EKS | Amazon Lex | Amazon Rekognition | Amazon S3 | Amazon SageMaker | Amazon Transcribe | Anomaly Detection | Artificial Intelligence | CI/CD | Cause analysis | Correlation Analysis | Data Engineering | Data Pipelines | Decision Trees | Deep learning | Docker | Generative AI | Git | GitLab | Jenkins | K-Nearest Neighbors | K-nearest | Keras | Kubernetes | Linear Regression | Logistic Regression | Machine Learning | Microservices | NLG | NLP | NLP/NLU | Nearest neighbors | Neural Networks | Predictive Analytics | Prompt engineering | PyTorch | Python | RAG | Random Forests | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | SparkML | TensorFlow
Education
N/A
Roles
AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | ML Engineer
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