Senior Machine Learning Engineer

4 hours ago


Pune, Maharashtra, India Jobs for Humanity Full time

Job Description


FIS is seeking a highly skilled AI/ML professional to join our Capital Markets AI/ML CoE team. As a key member of this team, you will be responsible for developing cutting-edge AI/ML solutions across the organization.



About the Team


The Capital Markets AI/ML CoE team is a horizontal CoE for Capital Markets that is helping us drive revenue and bring significant savings to our businesses by identifying, exploring, and implementing AI/ML solutions. We are looking for a talented individual who can contribute to the success of this team.



About the Role


As a Senior Machine Learning Engineer, you will be working on designing, building, and optimizing machine learning models for various applications, such as natural language processing, computer vision, predictive analytics, etc. You will also be responsible for data preprocessing and feature engineering, evaluating model performance, and fine-tuning hyperparameters to achieve optimal results. Additionally, you will have the opportunity to work with cloud platforms, relational databases, and MLOps.



Requirements


We are looking for an individual with 10+ years of industry experience, proficiency in Python, and good-to-have experience in additional programming languages (Java or C# or both). You should also have hands-on experience with frameworks and libraries like scikit-learn, TensorFlow, PyTorch, Keras, pandas, etc. Additionally, you should have experience with cloud platforms (e.g., AWS, GCP, Azure) and AI Studios, as well as experience with MLOps. A Bachelor's degree in engineering or related field or the equivalent combination of education, training, or work experience is also required.



What We Offer


FIS offers a multifaceted job with a high degree of responsibility and a broad spectrum of opportunities. We also provide a competitive salary and benefits, as well as a variety of career development tools, resources, and opportunities. We are committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients.



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