Senior AI/ML Engineer
Tasks
- Architect and oversee end-to-end AI solutions
- Collaborate with client teams to deliver AI ML features
- Conduct code reviews and ensure machine learning best practices
- Guide model selection evaluation and fine tuning
- Implement deploy optimize AI ML models in production
- Implement scalable machine learning architecture
- Lead AI ML engineering team and mentor engineers
- Lead AI ML project execution from experimentation to production
- Maintain documentation and model governance
- Monitor and evaluate model performance in production
- Translate business problems into AI/ML solutions
- Use experiments and data analysis to present findings to stakeholders
Perks/Benefits
- Flexible work schedule
- Generous time off
- Mental Health plans
- Remote-first work environment
- Wellbeing programs
Skills/Tech-stack
AWS | Apache Spark | Azure | CI/CD | Deep learning | Evidently AI | Faiss | Feature Engineering | Fine Tuning | GitHub Actions | Google Cloud | Hugging Face | LLMOps | Langchain | Language Processing | Llamaindex | MLOps | MLflow | Machine Learning | Matplotlib | Model Evaluation | Model Training | Monitoring | Natural Language | Natural Language Processing | OpenCV | Pandas | Pinecone | Plotly | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Seaborn | Spacy | TensorFlow | Vector Database | Vector embeddings | Weaviate | WhyLogs
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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