Data Scientist MLOps (MLflow, Kubeflow, Airflow)
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Job Location:
Philadelphia, PA - USA
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
-Required Skills & Qualifications
5 years of experience in Data Science Machine Learning or related fields.
Strong expertise in Python SQL and modern ML frameworks (TensorFlow PyTorch Scikit-Learn).
Experience with MLOps tools (MLflow Kubeflow Airflow) for model deployment and monitoring.
Proficiency in cloud platforms (GCP) and scalable data engineering.
Experience implementing and testing recommendation engines.
Experience with Knowledge Graphs and their integration into AI/ML pipelines.
Strong understanding of probability theory statistics and experimental design (A/B Testing).
Experience with collaborative software engineering practices (Agile DevOps).
Bachelors or Masters degree in Computer Science Mathematics Engineering or related field.
Preferred Qualifications
Background in Retail and Personalization Web Technologies.
Hands-on experience in LLMs (e.g. GPT BERT LLaMA Claude) and Generative AI technologies.
Understanding of clients digital ecosystem and data-driven decision-making.
Proficiency in business intelligence (BI) tools and data visualization.
5 years of experience in Data Science Machine Learning or related fields.
Strong expertise in Python SQL and modern ML frameworks (TensorFlow PyTorch Scikit-Learn).
Experience with MLOps tools (MLflow Kubeflow Airflow) for model deployment and monitoring.
Proficiency in cloud platforms (GCP) and scalable data engineering.
Experience implementing and testing recommendation engines.
Experience with Knowledge Graphs and their integration into AI/ML pipelines.
Strong understanding of probability theory statistics and experimental design (A/B Testing).
Experience with collaborative software engineering practices (Agile DevOps).
Bachelors or Masters degree in Computer Science Mathematics Engineering or related field.
Preferred Qualifications
Background in Retail and Personalization Web Technologies.
Hands-on experience in LLMs (e.g. GPT BERT LLaMA Claude) and Generative AI technologies.
Understanding of clients digital ecosystem and data-driven decision-making.
Proficiency in business intelligence (BI) tools and data visualization.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
