AI Engineer

Job Description:

Dow Jones is looking for an AI Engineer to join our Automation & Reporting team. You will design construct integrate and maintain AI Solutions into the existing and new workflows to optimize processes across our B2B Risk and Research teams. As a key team member you will be involved in every aspect of the data science project development process from data analysis and model selection to building proofs of concept and refining pipelines. You will leverage your expertise in statistical analysis and machine learning techniques to derive insights from data address the organizations needs and deliver tangible value through actionable outcomes. You will report to the Director Automation & Reporting.

You Will:

• Own the development deployment and maintenance of machine learning models that automate business workflows and enhance reporting capabilities.
• Build and maintain data pipelines that support high-volume data processing enrichment and model training using Python SQL and cloud services.
• Work with stakeholders to define business problems and translate them into well-scoped technical ML solutions.
• Analyze and clean large datasets to optimize reusable ML models.
• Apply NLP and information retrieval techniques to extract structured information from unstructured text content.
• Leverage APIs (including LLM APIs) for data enrichment preprocessing or model integration where appropriate.
• Deploy models and automation tools using cloud-based services (AWS and GCP).
• Document workflows validate results and follow best practices for model performance versioning and reproducibility.
• Collaborate cross-functionally with business product and engineering teams to integrate models into production workflows

You Have:

• Bachelors or Masters degree in Computer Science Data Science Engineering or a related STEM field or equivalent work experience.
• 3 years of experience in a data science or applied ML role with a focus on both modeling and pipeline development.
• Programming skills in Python and experience with machine learning libraries (e.g. scikit-learn XGBoost TensorFlow or PyTorch).
• Experience writing and optimizing SQL queries and handling large datasets.
• Hands-on experience with cloud infrastructure (preferably AWS) including tools like S3 Glue Lambda and Athena.
• Experience working with APIs including LLM APIs or external data sources.
• Familiarity with version control (Git) and reproducible workflows (e.g. notebooks scripts containers).
• Strong problem-solving skills attention to detail and the ability to communicate technical results to non-technical audiences.

Our Benefits

• Comprehensive Healthcare Plans
• 30 vacations days per year
• Meal benefit with Pluxee (171 /month)
• Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3%)
• Well-being Resources (200 USD per quarter Classpass etc.)
• Family Care Benefits & Caregiving Support
• Subscription Discounts
• Employee Referral Program

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