Designing, implementing, and testing logic to serve ads effectively adhering to various business criteria either with rule based or ML based solutions in a high-throughput, low-latency microservices environment
Enhancing systems’ observability with proper metrics, monitors, and alerts
Reading and understanding product user stories, and then translating them into actionable tasks for both frontend and backend components
Taking ownership of one or more of the team's domain areas
Understanding and using automated tools (AI) while adhering to company policy
Available for On-Call rotations based on the team’s escalation policy and support schedule

Requirements

BS or MS in Computer Science / Engineering or relevant work experience
5+ years of software engineering experience
Proficiency with Java
Proficient in large scale ML/DL platforms and processing tech stack
Experience in large scale machine learning using tools such as scikit-learn, Spark MLLib, pytorch
Experience with LLM-based application development, using LLM-as-a-service providers such as AWS Bedrock, Azure Cognitive Services, or Google's Vertex AI
Experience using frameworks such as LangGraph, Crew AI, and strands sdk for developing agents
Experience with vector databases and retrieval-augmented generation
Demonstrable analytical / problem-solving skills
Strong knowledge of and experience implementing AI/ML technologies and applying mathematical and statistical concepts

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

Javamachine learningdeep learningscikit-learnSpark MLLibpytorchLLM-based application developmentvector databasesretrieval-augmented generationAI/ML technologies

Soft Skills

analytical skillsproblem-solving skillsownershipcommunication

Certifications

BS in Computer ScienceMS in Computer Sciencerelevant work experience