What are the responsibilities and job description for the Artificial Intelligence Engineer position at Programmers.io?
Location - Menlo Park, CA ( Onsite DAY1 ) 4 days WFO
AI Engineer with 6–10 years of experience designing and deploying scalable AI/ML solutions for AdTech platforms covering targeting, bidding, personalization, attribution, and real-time analytics.
The role requires strong engineering fundamentals with hands-on ML model development, data pipelines, and real-time decision systems, leveraging modern distributed and cloud-based architectures.
Key Responsibilities
- Develop and deploy AI/ML models for:
- Audience targeting & segmentation
- Ad ranking & bidding optimization
- Attribution & campaign performance modelling
- Fraud detection & anomaly detection
- Build and optimize end-to-end ML pipelines:
- Data ingestion, feature engineering, training, and inference
- Batch & real-time model serving
- Design real-time decisioning systems for high-throughput, low-latency environments.
- Collaborate with data engineers and architects to ensure:
- Scalable data pipelines (ETL/ELT, streaming)
- High-quality feature stores and model lifecycle management
- Drive experimentation frameworks (A/B testing, causal inference) to continuously optimize performance metrics.
- Ensure privacy-aware and compliant AI solutions aligned with data governance frameworks.
Required Qualifications
- Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, or related field.
- 6–10 years of experience in AI/ML engineering / Data Science engineering roles.
- Strong programming skills in:
- Python (mandatory)
- Java or C (preferred)
- Hands-on experience in:
- ML frameworks (TensorFlow, PyTorch, XGBoost)
- Distributed processing (Spark, Flink)
- Streaming systems (Kafka)
- SQL & NoSQL databases
- Experience building production-grade ML pipelines and scalable data systems
Preferred Qualifications
- Experience in AdTech / MarTech / Retail Media ecosystems
- Exposure to:
- Recommendation systems
- Real-time bidding systems
- Experimentation platforms / A/B testing
- Familiarity with:
- Kubernetes, Docker, microservices
- Privacy and regulatory frameworks (GDPR, data compliance)