BD&I ML Engineer

2 - 6 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Machine Learning Engineer at our company, you will play a crucial role in developing and implementing machine learning models to address real-world problems and drive business value. You will collaborate with data scientists, software engineers, and product managers to create innovative solutions. Here's what you can expect in this role: **Key Responsibilities:** - Design, develop, and implement machine learning models for various applications such as predictions, customer churn analysis, and fraud detection. - Collect, clean, and preprocess large datasets for training and evaluation. - Conduct exploratory data analysis and feature engineering to enhance model performance. - Evaluate and select suitable machine learning algorithms based on business requirements and data characteristics. - Develop and maintain machine learning pipelines for data ingestion, preprocessing, training, and deployment. - Monitor and optimize the performance of deployed models in production. - Stay updated with the latest advancements in machine learning and related technologies. - Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. - Communicate technical concepts and findings to both technical and non-technical audiences. - Mentor and guide junior data scientists to foster a collaborative environment for knowledge-sharing. **Qualifications:** - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. - 2 to 3 years of experience in developing and deploying machine learning models in a professional setting. - Strong understanding of machine learning algorithms and techniques including supervised, unsupervised, and reinforcement learning. - Proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). - Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). - Excellent problem-solving and analytical skills. At our company, you will experience a culture of caring, continuous learning and development opportunities, interesting and meaningful work, balance, flexibility, and trust. Join our team and be part of a trusted digital engineering partner committed to creating innovative digital products and experiences for leading companies worldwide.,

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