Senior Data Scientist Machine Learning Operations Gen AI - Remote
USD 91K-152K Senior-level Full Time
Tasks
- Assess and improve ml platforms and fill platform gaps
- Build internal copilots assistants and client facing analytics
- Deploy models and monitor model performance in production
- Design production machine learning ops and gen ai solutions
- Design rag pipelines embedding strategies and vector search
- Implement guardrails safety filters and evaluation frameworks
- Lead delivery of scalable gen ai solutions end to end
- Optimize latency throughput and cost controls
- Streamline data ingestion preprocessing feature engineering and training workflows
Perks/Benefits
- 401k with employer match
- Adoption, Fertility and Surrogacy Reimbursement
- Disability and Critical Illness plans
- Emergency backup care
- Free access to CEUs and professional development
- Legal Resources Plan
- Life insurance
- Medical, dental, vision plans
- Paid Parental and Family Caregiver Leave
- Paid time off
- Pet insurance
- Reimbursement for certifications
- Student Debt Pay Down
- Tuition assistance
Skills/Tech-stack
API | AWS SageMaker | Agile | Airflow | Amazon Redshift | Apache Kafka | Apache Spark | Azure | CI/CD | Cloud platform | Deep learning | Distributed Systems | Docker | Embeddings | Evaluation Frameworks | Git | Google Cloud | Google Cloud Platform | Guardrails | Hadoop | Jenkins | Kubeflow | Kubernetes | LLMs | Langchain | Language Processing | Llamaindex | MLflow | Machine Learning | Monitoring | Natural Language | Natural Language Processing | PostgreSQL | Prompt engineering | Prompt versioning | PyTorch | Python | RAG | SQL | Scikit-learn | Scrum | Snowflake | TensorFlow | Transformers | Vector Databases | Vector Search | XGBoost
Education
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