AI Engineer - Data Scientist
Tasks
- Advise clients on AI solutions
- Bridge technical teams and business stakeholders
- Design and implement AI solutions
- Design data science experiments
- Develop scripts and prototypes
- Evaluate models hypotheses and algorithms
- Lead model monitoring versioning and deployment automation
- Manage project timelines stakeholders and deliverables
- Translate technical AI details for non technical stakeholders
Perks/Benefits
- Discounts and subscriptions
- Employee referral bonuses
- Health insurance
- Hybrid remote work
- Life insurance
- Mobile services allowance
- Paid time off for studies
- Paid time off for volunteering
- Team building events
- Travel insurance
- Wellbeing programs
Skills/Tech-stack
AWS | Advanced Analytics | Artificial Intelligence | Azure Foundry | Azure ML | Cloud platform | Continuous Training | Deployment Automation | Generative AI | Google Cloud | Google Cloud Platform | Kedro | Kubeflow | LLMOps | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLOps pipelines | Machine Learning | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | NumPy | PyTorch | Python | SciPy | Scikit-learn | Streamlit | TensorFlow | ZenML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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