Machine Learning Engineer (Python)

As a Python Machine Learning Engineer at our organization, you will be responsible for designing, developing, and deploying scalable recommender systems using various machine learning algorithms. Your primary focus will be on leveraging machine learning techniques to personalize user experiences, enhance engagement, and drive business outcomes. You will collaborate closely with cross-functional teams to understand business requirements and translate them into actionable machine learning solutions. Conducting thorough exploratory data analysis to identify relevant features and patterns in large-scale datasets will be a crucial part of your role. Additionally, you will implement and optimize machine learning models for performance, scalability, and efficiency while continuously monitoring and evaluating model performance using relevant metrics. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field, along with 2 to 3 years of hands-on experience in developing machine learning models, specifically focusing on recommender systems. Proficiency in Python programming and popular machine learning libraries/frameworks such as TensorFlow, PyTorch, or Scikit-learn is required. A solid understanding of fundamental machine learning concepts like supervised and unsupervised learning, feature engineering, and model evaluation is essential. Experience working with large-scale datasets, strong analytical and problem-solving skills, and excellent communication abilities are also necessary for this role. You should be able to work with SQL and NoSQL databases to store and retrieve training data, as well as write efficient ETL pipelines to feed real-time and batch ML models using Apache Airflow. Preferred qualifications include experience with cloud computing platforms such as AWS, familiarity with recommendation system evaluation techniques, knowledge of natural language processing techniques, and contributions to open-source machine learning projects or participation in relevant competitions like Kaggle. Experience in MLOps & Deployment (Docker, Airflow) and Cloud Platforms (AWS, GCP, Azure, SageMaker) would be beneficial. This is a full-time position located in Bangalore, Karnataka, and requires in-person work. If you are a talented Python Machine Learning Engineer with a passion for developing and maintaining recommender systems using cutting-edge machine learning algorithms, we encourage you to apply for this exciting opportunity.,