Data Science (Mid-Level)
I
Irth SolutionsSoftware, Infrastructure
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–6 years of experience
- Required Skills
- PythonSQLMachine LearningSparkCI/CDDatabricksMLOpsGenerative AI
Requirements
- 3–6 years of experience in Data Science, Machine Learning, or ML Engineering.
- Strong programming skills in Python, SQL, and Spark/PySpark.
- Hands-on experience with Databricks, including Delta Lake and Unity Catalog.
- Understanding of ML fundamentals: feature engineering, model training, validation, and drift detection.
- Practical GenAI/LLM experience with RAG, vector databases, and prompt engineering.
- Experience implementing CI/CD for ML using GitHub Actions and Databricks Asset Bundles.
- Knowledge of data security, compliance, PII handling, and policy-as-code.
- Strong communication skills with the ability to produce technical documentation like ADRs and runbooks.
Responsibilities
- Build and maintain medallion architecture data pipelines (Bronze, Silver, Gold) using Databricks.
- Develop and deploy machine learning and GenAI solutions, including forecasting, NLP, and RAG architectures.
- Implement CI/CD pipelines for data and ML workloads using GitHub Actions and Databricks Asset Bundles.
- Ensure data security and governance by implementing RBAC, ABAC, and PII masking.
- Monitor model and pipeline performance against established SLAs and SLOs.
- Partner with Product and engineering teams to translate business requirements into actionable data products.
- Manage production workflows and model registry via Unity Catalog.
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