AI/ML Engineer - Engineering Excellence (Full Stack Developer)
USD 107K-160K Senior-level Full Time
Tasks
- Architect scalable, resilient AI systems
- Build autonomous agentic systems
- Create CI CD automation for AI services
- Design database storage and retrieval for AI apps
- Develop end-to-end AI systems
- Enforce ethical AI and data privacy compliance
- Ensure engineering best practices and tooling standards
- Fine-tune and optimize large language models
- Implement prompt engineering and RAG systems
- Integrate Python ML workflows with Java services
- Lead AI ML and agentic AI solution design
- Maintain observability and cost-efficiency
- Own model deployment pipeline
- Provide technical oversight and review solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Adapter-Tuning | Agentic AI | Automated testing | Azure | CI/CD | Cassandra | DeepSpeed | Docker | DynamoDB | GCP | GPTQ | Generative AI | Hugging Face | Hybrid retrieval | Hybrid search | Infrastructure as Code | Java | Keras | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | LoRA | Machine Learning | Microservices | Model Compression | Model Quantization | MongoDB | MySQL | NLP | Natural Language | Natural Language Processing | OpenShift | Oracle | PostgreSQL | Prompt engineering | PyTorch | Python | QLoRA | REST APIs | Retrieval-Augmented Generation | SQL | Spring Boot | TensorFlow | Transfer Learning | VLLM | Vector Search | “as-code”
Education
Regions
Countries
States
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