Machine Learning Engineer @ Emperen Technologies

Job Title : Machine Learning Engineer Job Type : Full-Time Experience Level : Mid to Senior [5+ Years] Department : Data Science / AI Engineering Job Summary : We 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 in Linear Algebra (e.g., matrix operations, eigenvalues, SVD). - Proficiency in Probability and Statistics (e.g., Bayesian inference, hypothesis testing, distributions). - Solid understanding of Calculus (e.g., gradients, partial derivatives, optimization). - Knowledge of Numerical Methods and Convex Optimization. - Familiarity with Information Theory, Graph Theory, or Statistical Learning Theory is a plus. Programming & Software Skills : - Proficient in Python (preferred), with experience in libraries such as : NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn - Experience with deep learning frameworks : TensorFlow, PyTorch, Keras, or JAX - Familiarity with ML Ops tools : MLflow, Kubeflow, Airflow, Docker, Kubernetes - Experience with cloud 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