Senior AI/ML Engineer
USD 107K-195K Senior-level Full Time
Tasks
- Align technical teams with stakeholders
- Analyze system performance metrics and recommend improvements
- Build maintain ML pipelines
- Collaborate with data and DevSecOps teams
- Create model documentation testing and evaluation reports
- Design develop optimize AI ML solutions
- Ensure cybersecurity compliance
- Implement best practices for model development and deployment
- Implement model serving infrastructure
- Integrate ML models into production APIs
- Integrate with enterprise AI platforms and model providers
- Manage project timelines and deliverables
- Monitor model performance and drift
- Optimize model scalability and efficiency
- Select and integrate enterprise tools
- Support secure AI ML deployment
- Train and tune ML models
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agent systems | Agentic AI | Agile | Azure | Bias detection | CI/CD | CUDA | Cloud Platforms | Cloud platform | CrewAI | Deep learning | DevSecOps | Docker | Drift Detection | Entity Extraction | Faiss | GPU Programming | Google Cloud | Google Cloud Platform | Java | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Microservices | Model Evaluation | Model Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | Pinecone | Prompt engineering | PyTorch | Python | R | RAG | Retrieval-Augmented Generation | SAFe | Scikit-learn | Semantic Search | Telemetry | TensorFlow | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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