Key Responsibilities:

• To help a team of S/W engineers and Data Scientists/MLEs in developing and integrating software algorithms to Groupon platform

• To structure, analyze, and leverage data in both structured and unstructured environments.

• Utilize machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to enhance product/system performance, quality, data management, and accuracy.

• Translate technical specifications and algorithms into efficient code using Python and Java.

• Conduct testing, debugging, and optimization of algorithms and code to ensure functionality and efficiency.

• Develop pipelines and APIs that utilizes LLMs for production grade products

• Create documentation and procedures for the installation, maintenance, and usage of developed algorithms and software components.

• Apply deep learning technologies to enable computers to visualize, learn, and respond to complex scenarios.

• Collaborate with cross-functional teams to integrate machine learning capabilities into large-scale computing frameworks, data analysis systems, and modeling environments.

Qualifications:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.

• 5+ years of experience in developing software services & ML modeling

• Proficiency in Python and Java

• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and distributed computing

• Familiarity with large-scale computing frameworks (e.g. Apache Spark)

• Experience in developing RESTful APIs and implementing scalable backend systems

• Experience with distributed systems design and end-to-end feature implementation

• Relevant background in developing, containerizing and deploying ML models is desirable

• Experience in feature engineering, metrics tracking and experimentation is a plus

• Some experience with LLMs (e.g., OpenAI, VertexAI) and AI prompt design

• Proficiency in relevant libraries (e.g., TensorFlow, PyTorch) to develop production-grade products

• Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)

• Excellent problem-solving skills and the ability to work independently and collaboratively

• Good understanding of statistics, linear algebra, and probability theory

Preferred Qualifications:

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or related field

• Knowledge of cloud computing platforms, end-to-end feature development and deployment

Preferred Skill sets:

Artificial Intelligence, Machine Learning, Experimentation, Spark, Python, Java, SQL, CI/CD, Jenkins, Cloud platforms, AWS, GCP, NLP, LLMs, RESTful API, (Un)Supervised Modeling