AI and Machine Learning Engineer I Graduate
Core
Develops and programs integrated software algorithms to structure, analyze, and leverage structured and unstructured data in product and systems applications using machine learning and statistical modeling.
Role type
Junior IC machine learning engineer (data engineering focus)
Builds
Data pipelines, curated data models, analytical layers, and AI/ML solutions for enterprise systems
Domain
Enterprise technology, edge-to-cloud infrastructure, data analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, data pre-processing, data cleaning, exploratory data analysis, statistics, probability, linear algebra, calculus, optimization methods, supervised/unsupervised learning, deep learning, neural networks, reinforcement learning, natural language processing
Preferred skills
TensorFlow, PyTorch, scikit-learn, R, Java, Matplotlib, Tableau, Databricks, orchestration tools
Technologies
Python, SQL, Databricks, TensorFlow, PyTorch, scikit-learn, Matplotlib, Tableau
Responsibilities
Partner with cross-functional teams to identify opportunities for data-driven improvements; Ingest and integrate data from structured and unstructured enterprise systems; Design and build curated data models and analytical layers; Develop, optimize, and maintain pipelines; Clean, transform, and prepare datasets; Ensure data quality and observability; Integrate new data sources, APIs, and event streams; Create clear data documentation and communicate technical concepts to non-technical stakeholders
Seniority
Junior, entry-level IC
