Related skills
docker python kubernetes tensorflow pytorch📋 Description
- Understand business cases to evaluate ML/AI solutions for complex challenges.
- Analyze large data sets to translate into actionable insights.
- Prepare and preprocess data for model accuracy.
- Design, develop, deploy ML models.
- Deploy models to production and manage ML lifecycle (MLOps).
- Mentor ML engineers and junior team members.
🎯 Requirements
- BSc in CS/DS/Statistics; Master's a plus.
- 5+ years in ML/DS or related field.
- Python and SQL/NoSQL (Cassandra, MongoDB) proficiency.
- AWS SageMaker and MLOps tools (MLFlow, Kubeflow) knowledge.
- Experience with Elasticsearch, Spark, Airflow.
- Familiarity with model deployment and monitoring tools (Evidently.ai, NewRelic).
🎁 Benefits
- Flexible hours and remote-first mode.
- Competitive compensation.
- Complete hardware/software setup – everything you need for work.
- Open-door culture with transparent leadership.
- Health insurance, vacation, sick leave, holidays, parental leave.
- Access to learning & development center with workshops and training.
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