AI/ML Developer
Tasks
- Architect and implement AI/ML solutions
- Collaborate with data scientists and stakeholders on requirements
- Design, develop, and deploy scalable ML services
- Develop and maintain documentation and technical standards
- Mentor engineers and promote best practices
- Monitor, troubleshoot, and resolve production issues
- Optimize ML workflows for performance and cost on cloud
- Stay up to date with emerging AI ML trends
Perks/Benefits
- Additional vacation days
- English courses
- Flexible work options
- Health insurance
- Hybrid work
- Internal conferences and meetups
- Mentorship
- Referral program
- Remote work
- Sports activities
- Technical and non-technical training
- Work anniversary program
Skills/Tech-stack
AWS | Azure | CI/CD | Computer Vision | Data Annotation | Data labeling | Datadog | Faiss | Generative AI | Git | Grafana | Image Segmentation | Image classification | Infrastructure as Code | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | MLflow | Model Deployment | Natural Language | Natural Language Processing | Observability | OpenTelemetry | Pinecone | Prometheus | Prompt engineering | PyTorch | Python | Qdrant | RAG | RNN | TensorFlow | Transformer | Weaviate | YOLO | “as-code”
Education
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