AI/ML Software Engineer

Responsibilities • Build and implement AI/ML features end-to-end: data ingestion, feature engineering, model training, evaluation, and deployment • Develop and maintain RAG pipelines and LLM-powered applications using vector stores, embeddings, and orchestration frameworks • Create AI agents and integrations using Model Context Protocol (MCP) to connect LLMs with internal tools and data sources • Build classification models for brand safety, fraud detection, and content categorization to improve targeting and reporting • Train prediction and optimization models for adtech/martech needs including CTR prediction, conversion forecasting, pricing optimization, and campaign performance • Develop backend services in Python that expose AI capabilities via APIs to product and frontend teams • Experiment with different model architectures (tree-based, neural networks, LLMs) and evaluate trade-offs on accuracy, latency, and cost • Implement monitoring and evaluation systems, including A/B tests, metrics tracking, and model performance dashboards • Collaborate with data, platform, and product teams to integrate AI/ML solutions into core workflows • Stay current with the AI/ML ecosystem and bring practical ideas to the team Qualifications • Bachelor or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or related field • 2-5 years of professional experience in software engineering, ML engineering, or data science • Strong proficiency in Python and experience with ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow, or similar) • Hands-on experience building applications with LLMs, prompt engineering, and RAG patterns • Solid understanding of machine learning fundamentals, statistics, and model evaluation • Experience with SQL and working with structured/unstructured data at scale • Familiarity with APIs, backend development, and software engineering best practices (Git, testing, CI/CD) • Understanding of cloud platforms (AWS, GCP, or Azure) and containerization • Experience with vector databases, search technologies, or big data tools (Spark, Airflow, Kafka) is a plus • Exposure to adtech/martech domains (advertising, marketing analytics, campaign optimization) is a plus • Strong communication skills and comfort working in a distributed, cross- functional team • Flexible with working hours to enable collaboration across time zones Must have skills • python • ML Frameworks • SQL • RAG Patterns • API's • Backend Developmet • Git, testing, CI/CD • Adtech Good to have skills • Spark • Airflow • Kafka • Martech • Cloud Platforms • AWS • GCP • Azure