AI/ML Engineer
Primary location: Hyderabad, India
INR 1200K-2500K (estimate) Mid-level Full Time
Tasks
- Apply reinforcement learning and self improving techniques
- Build RAG systems
- Conduct design and code reviews
- Deploy models to production using MLOps
- Design and implement scalable ML pipelines
- Develop and test REST APIs
- Evaluate and experiment with AI model architectures
- Implement and iterate on AI and machine learning prototypes
- Implement responsible use of AI
- Integrate models into services
- Lead applied research in large language models and generative AI
- Monitor and optimize system latency cost and reliability
- Orchestrate prompts for generative AI
- Train evaluate and optimize AI models
- Use Docker for containerized delivery
Perks/Benefits
Skills/Tech-stack
CI/CD | Diffusion Models | Docker | FastAPI | Flask | Generative AI | Hugging Face | Knowledge Distillation | Langchain | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model versioning | Monitoring | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Quantization | Reinforcement Learning | Retrieval-Augmented Generation | TensorFlow | Transformers | Vector Databases
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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