Who We Are Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers. Job Description Job Title : Senior AI/ML Engineer Job Type : W2/C2C Experience : 8-15 Years Location : Santa Clara, California Responsibilities • Strong programming skills in Python, Java, SpringBoot, or Scala. • Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM. • Familiarity with information retrieval techniques (BM25, vector search, learning to rank). • Knowledge of embedding models, user/item vectorization, or session based personalization. • Experience with large scale distributed systems (e.g., Spark, Kafka, Kubernetes). • Hands on experience with real time ML systems. • Background in NLP, graph neural networks, or sequence modeling. • Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR. • Hands on experience in analyzing the various data and building data modeling and pipeline leveraging BigQuery data streaming or Databricks in near real time. • Experience in Apache Spark, Airflow • Develop real time and batch ML models using embeddings, collaborative filtering, and deep learning. • Integrate user behavior signals, session data, and content metadata to optimize relevance. • Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval augmented generation (RAG), fine tuning / pre training LLM (including parameter efficient fine tuning), Deep reinforcement learning and evaluation benchmarks • Collaborate cross functionally with product, data, and infra teams to deploy experiments and measure impact. • Optimize retrieval, filtering, and ranking algorithms in production search pipelines. • Real time Personalization using query Embeddings for Search Ranking • Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics • Experience in MLOps and model governance • Strong analytical and quantitative problem solving ability • Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities Qualifications • Bachelor's degree in Computer Science or related field.