Machine Learning Engineer

Photon is seeking a seasoned Machine Learning Engineer to design and deploy analytics-driven models that solve real business problems. The role is based in New Jersey with onsite collaboration, and you will partner with product and engineering teams to deliver end-to-end ML solutions, deploy models into production, and leverage Python, Spark, and Databricks to generate actionable insights.

• Analyze use cases and design analytics models using statistical and machine learning methods tailored to specific business needs.
• Develop machine learning algorithms aimed at personalizing customer experiences and extracting actionable business insights.
• Apply data mining and machine learning techniques across forecasting, prediction, segmentation, recommendation, and fraud detection.
• Augment company data by integrating third‑party data sources to enhance analytics capabilities.
• Improve data collection processes to capture information essential for analytics systems.
• Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing formats using Python libraries such as Pandas and Num Py.
• Implement scalable machine learning models with attention to performance, using tools like PySpark in Databricks.
• Design and build infrastructure that supports large-scale data analytics and experimentation.
• Utilize Jupyter Notebooks for data exploration and model development.

• A bachelor's or master's degree in Computer Science, Mathematics, Physics, or related fields; a PhD is preferred but not required.
• Minimum of 5 years of experience in data analytics, with a solid grasp of core statistical algorithms including classification and regression.
• Strong experience with Python-based machine learning libraries such as scikit-learn, Tensor Flow, and PyTorch.
• Proficiency with analytics platforms like Databricks for large-scale data processing.
• At least 4 continuous years of experience with Spark, particularly using PySpark.
• Hands-on experience with data processing and analysis tools such as Pandas, Num Num?

• Python
• Spark
• Databricks
• Pandas
• Num Py
• Jupyter Notebooks
• Py Spark
• scikit-learn
• Tensor Flow
• Py Torch