About the company
We work with businesses globally to deliver tailored, end-to-end Artificial Intelligence, Consulting, Data, Digital, Cloud & DevOps and Software Engineering solutions that drive value and growth. Our business domain expertise covers hi-tech, financial services and insurance, while we explore the art of the possible in our groundbreaking Financial Labs (FinLabs).
Job Summary
Responsibilities:
šDesign, develop, and implement machine learning models using supervised and unsupervised learning techniques, deep learning, and reinforcement learning. šProficiently apply statistical algorithms and model evaluation techniques to ensure model accuracy and performance. šUtilize frameworks such as PyTorch, TensorFlow, and Scikit-learn to build and optimize machine learning solutions. šPerform large-scale data wrangling and transformation to prepare data for modeling and analysis. šCollaborate with software engineering teams to integrate machine learning models into production systems, adhering to software design principles. šDemonstrate programming proficiency in Python and Pyspark, ensuring clean and efficient code. šUtilize version control systems such as Git to manage codebase and collaborate with team members. šUnderstand and implement APIs and microservices to enable seamless integration of machine learning solutions. šStay updated with the latest advancements in machine learning and financial services, applying new knowledge to improve existing models and processes.
Requirements:
šExperience Range: 7+ Years šBachelorās or Masterās degree in Computer Science, Data Science, Machine Learning, or a related field. šProven experience in machine learning and statistical algorithms, with a strong portfolio of projects. šProficiency in machine learning frameworks, including PyTorch, TensorFlow, and Scikit-learn. šStrong programming skills in Python and Pyspark, with a solid understanding of software engineering practices. šExperience with data wrangling, transformation, and feature engineering for large datasets. šFamiliarity with version control systems (e.g., Git) and understanding of API and microservices architecture. šExcellent problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced environment.
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