Require an AI Engineer in Mumbai

Design, develop, and deploy robust machine learning models tailored to specific financial use cases such as risk assessment, fraud detection, and algorithmic trading.

Collaborate with cross-functional teams to identify business opportunities where AI can enhance customer experience and optimize internal processes.

Clean, preprocess, and analyze large-scale financial datasets to extract actionable insights and improve model accuracy.

Monitor and maintain deployed AI systems, performing regular updates and tuning to ensure optimal performance and reliability.

Document technical methodologies, model architectures, and implementation strategies to facilitate knowledge sharing and future scalability.

Stay current with emerging trends in artificial intelligence and financial technology to recommend and integrate cutting-edge tools and frameworks. Requirements

Possess a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related quantitative field.

Demonstrate 2-5 years of professional experience in developing and implementing AI or machine learning solutions, preferably within the financial domain.

Proficiency in programming languages such as Python, R, or Java, with a strong command of libraries like TensorFlow, PyTorch, or Scikit-learn.

Solid understanding of statistical analysis, data modeling, and algorithm optimization techniques.

Experience working with big data technologies and cloud platforms (e.g., AWS, Azure, or Google Cloud) is highly desirable.

Strong problem-solving skills with the ability to translate complex business requirements into technical specifications.

Excellent communication skills to explain technical concepts to non-technical stakeholders effectively.