Senior AI/ML Engineer (AdTech-Fintech domain experience is a must)

Experience: 8+ years

Work mode: Hybrid

Key Responsibilities

Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end-to-end from experimentation to production rollout.
ML System Design: Build and evolve the ML lifecycle data preparation, training, evaluation, and real-time inference, ensuring models integrate cleanly with ad-serving systems and meet low-latency, high-throughput requirements.
Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade-offs with an eye toward maintainability and operational excellence.
AI & Agentic Applications: Develop and integrate LLM-powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation within well-defined guardrails.





Required Qualifications
:

5+ years of experience in software engineering and/or applied machine learning, with a track record of shipping ML systems to production.
Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; robust adjacent experience (recommendation, ranking, marketplaces) is also valued.
Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
Hands-on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.
Experience deploying ML to cloud settings (preferably AWS) and operating services at scale.
Familiarity w

📌 Senior Ai/ml Engineer Bengaluru
🏢 IMR Soft
📍 Bengaluru