Machine Learning Engineer

This role is for one of the Weekday s clients Min Experience 3 years Location Gurugram Delhi Uttar Pradesh NCR NOIDA Kanpur Uttarakhand JobType full-time We are seeking a highly skilled and motivated Machine Learning Engineer with 3-5 years of hands-on experience to join our growing team The ideal candidate will have strong expertise in designing developing and deploying machine learning models with a particular focus on Support Vector Machines SVM and other supervised and unsupervised learning techniques This role involves working on large-scale datasets building predictive models optimizing algorithms and collaborating with cross-functional teams to deliver cutting-edge AI-driven solutions Requirements Key Responsibilities Model Development Deployment Design build and deploy machine learning models tailored to real-world business problems Implement and optimize Support Vector Machine SVM algorithms for classification regression and anomaly detection tasks Ensure scalability and performance of deployed models in production environments Data Management Preprocessing Work with structured and unstructured datasets to prepare clean usable data for training Apply feature engineering dimensionality reduction and data transformation techniques to improve model accuracy and efficiency Conduct exploratory data analysis EDA to identify patterns trends and data insights Algorithm Optimization Experiment with various machine learning algorithms beyond SVM including decision trees ensemble methods clustering and neural networks Fine-tune hyperparameters optimize model performance and validate results using rigorous statistical methods Leverage techniques such as cross-validation regularization and kernel methods to enhance accuracy Collaboration Integration Partner with data scientists software engineers and product teams to integrate machine learning solutions into business applications Translate complex machine learning outputs into actionable insights for stakeholders Support the creation of APIs and frameworks for easy deployment of ML models Continuous Improvement Stay updated with the latest advancements in machine learning deep learning and AI research Explore novel approaches to enhance existing systems and processes Contribute to building reusable ML components and maintaining best practices Required Skills Qualifications Education Bachelor s or Master s degree in Computer Science Data Science Artificial Intelligence or related field Experience 3-5 years of professional experience in machine learning engineering Core Expertise Strong understanding and practical experience with Support Vector Machines SVM Solid knowledge of supervised and unsupervised learning techniques classification regression and clustering Programming Tools Proficiency in Python NumPy Pandas Scikit-learn TensorFlow PyTorch etc Experience with data visualization tools Matplotlib Seaborn Plotly Familiarity with version control systems Git and cloud platforms AWS Azure or GCP Analytical Skills Strong background in statistics linear algebra probability and optimization techniques Soft Skills Excellent problem-solving abilities analytical thinking communication and teamwork Preferred Qualifications Experience with deep learning frameworks Exposure to natural language processing NLP or computer vision projects Familiarity with large-scale data processing frameworks like Spark or Hadoop