Manager - AI/ML
Bangalore, Karnataka, India
INR 1500K-2500K (estimate) Mid-level Full Time
Tasks
- Apply NLP techniques for classification summarization entity recognition and semantic search
- Apply responsible AI practices for fairness bias mitigation and compliance
- Build and integrate AI microservices into enterprise systems
- Build solutions using LLMs RAG pipelines embeddings and vector databases
- Collect preprocess and manage datasets for fine tuning and inference
- Deploy and operate AI workloads on cloud platforms and containers
- Design build and fine tune machine learning deep learning and generative AI models
- Develop agentic AI systems for orchestration and reasoning
- Develop scalable algorithms for search retrieval and real time inference
- Implement AI systems for text structured and unstructured data and conversational use cases
- Monitor and optimize models and prompts for accuracy scalability and efficiency
- Optimize AI solutions for performance cost latency and security
- Translate requirements into production ready AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS SageMaker | Agentic AI | Autogen | Azure ML | Deep learning | Docker | Embeddings | Event Driven | Event-driven architecture | Fine Tuning | Generative AI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Kubernetes | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Microservices | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | TensorFlow | Transformers | Vector Databases | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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