Manager - AI/ML
Bangalore, Karnataka, India
INR 1400K-2000K (estimate) Mid-level Full Time
Tasks
- Apply NLP techniques
- Apply responsible AI practices
- Build LLM solutions with RAG pipelines
- Build agentic AI systems
- Deploy AI microservices with APIs
- Deploy AI workloads with containers
- Design machine learning models
- Develop generative AI applications
- Develop scalable search and retrieval algorithms
- Fine-tune deep learning models
- Implement embeddings and vector databases
- Manage datasets for fine tuning and inference
- Monitor and optimize model performance
- Optimize for cost latency security
- Orchestrate AI with Kubernetes
- Use event-driven architectures
Perks/Benefits
- N/A
Skills/Tech-stack
ADK | APIs | AWS SageMaker | Agentic AI | Autogen | Azure Machine Learning | Deep learning | Docker | Embeddings | Entity recognition | Event Driven | Event-driven architecture | Fine Tuning | Generative AI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Kubernetes | LLM | Langgraph | Machine Learning | Microservices | NLP | Named Entity Recognition | Pinecone | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic Search | Summarization | TensorFlow | Text Classification | Transformers | Vector Database | Vertex AI | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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