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Job Description: Machine Learning Engineer Role:Machine Learning Engineer Job Location:Remote (Occasional travel to Chennai) Experience:5-8 yearsAbout the RoleWe are seeking a highly skilled and mathematically grounded Machine Learning Engineer to join our AI team. The ideal candidate will have 5+ years of ML experience with a deep understanding of machine learning algorithms, statistical modeling, and optimization techniques, along with hands-on experience in building scalable ML systems using modern frameworks and tools.Key Responsibilities:Design, develop, and deploy machine learning models for real-world applications. Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into production systems. ·Understand the mathematics behind machine learning algorithms to effectively implement and optimize them. Conduct mathematical analysis of algorithms to ensure robustness, efficiency, and scalability. Optimize model performance through hyperparameter tuning, feature engineering, and algorithmic improvements. Stay updated with the latest research in machine learning and apply relevant findings to ongoing projects.Required Qualifications Mathematics & Theoretical Foundations Strong foundation inLinear Algebra(e.g., matrix operations, eigenvalues, SVD). Proficiency inProbability and Statistics(e.g., Bayesian inference, hypothesis testing, distributions). Solid understanding ofCalculus(e.g., gradients, partial derivatives, optimization). Knowledge ofNumerical MethodsandConvex Optimization . Familiarity withInformation Theory ,Graph Theory , orStatistical Learning Theoryis a plus. Programming & Software Skills Proficient inPython(preferred), with experience in libraries such as: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn Experience withdeep learning frameworks : TensorFlow, PyTorch, Keras, or JAX Familiarity withML Ops tools : MLflow, Kubeflow, Airflow, Docker, Kubernetes Experience withcloud platforms(AWS, GCP, Azure) for model deployment. Machine Learning Expertise Hands-on experience with supervised, unsupervised, and reinforcement learning. Understanding of model evaluation metrics and validation techniques. Experience with large-scale data processing (e.g., Spark, Dask) is a plus.Preferred Qualifications Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Publications or contributions to open-source ML projects. Experience with LLMs, transformers, or generative models.Integers.Ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.