Machine Learning Engineer - Python/Tensorflow

Key Responsibilities

• Conduct feature engineering, data analysis, and data exploration to extract valuable insights
• Develop and optimize machine learning models for high accuracy and performance
• Design and implement deep learning models such as ANN, CNN, and reinforcement learning techniques
• Handle real-time imbalanced datasets and apply techniques to improve model fairness and robustness
• Deploy models in production environments and ensure continuous monitoring and updates
• Collaborate with cross-functional teams to align ML solutions with business goals
• Apply statistical and mathematical principles to ensure model reliability
• Integrate latest advancements in ML/AI to drive innovation

Requirements

• 4–5 years of hands-on experience in machine learning and deep learning
• Expertise in feature engineering, data exploration, and preprocessing
• Experience working with imbalanced datasets and improving model generalization
• Proficiency in Python, TensorFlow, Scikit-learn, and other ML libraries
• Strong foundation in mathematics, statistics, and problem-solving
• Ability to optimize models for real-world performance

Preferred Qualifications

• Experience with Big Data technologies like Hadoop and Spark
• Familiarity with Docker, Kubernetes, and containerization tools
• Knowledge of MLOps practices and automating ML pipelines
• Experience deploying models on cloud platforms such as AWS, GCP, or Azure