Job Title

Hi,We are looking for Artifical interligence professional, please find details below if interested kindly share your CV.Exp: 13+yrsLocation: Mumbai/HyderabadEducation: BE/BTEch/ME/MTech- Expertise in supervised, unsupervised, machine learning, deep learning, reinforcement learning, statistics techniques. - Proficiency in Python, PyTorch, TensorFlow. - Good to have knowledge of Bayesian inference, probability distribution, hypothesis testing, A/B testing, and time series forecasting. - Hands-on experience with feature engineering and hyperparameter tuning. - Experience with MLflow, Weights & Biases, DVC (Data Version Control). - Ability to track model performance across multiple experiments and datasets. - End-to-end ML lifecycle management from Data ingestion, preprocessing, feature engineering, model training, deployment, and monitoring. - Expertise in CI/CD for ML, containerization (Docker, Kubernetes), and orchestration (Kubeflow). - Good to have experience in automating data labelling and feature stores (Feast). - Good to have data processing experience in Spark, Flink, Druid, Nifi. - Good to have real-time data streaming in Kafka and other messaging systems - Designing and optimizing data pipelines for structured data. - Good to have hands-on experience with Pyspark. - Strong SQL skills for data extraction, transformation, and query optimization. - Atleast one database experience such as NOSQL database. - Implementing parallel and distributed ML techniques for large-scale systems. - Good to have knowledge of model explainability (SHAP, LIME), bias mitigation, and adversarial robustness. - Experience in model drift monitoring. - Good to have CUDA for GPU acceleration. - Good to have choosing between CPU/GPU for different ML workloads (batch inference on CPU, training on GPU). - Good to have scaling deep learning models on multi-GPU. - Strong presentation skills, including data storytelling, visualization (Matplotlib, Seaborn, Superset), and report writing. - Experience in mentoring data scientists, research associates, and data engineers. - Contributions to research papers, patents, or open-source projects.