Require an AI Engineer in Mumbai

TestHiring; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

TestHiring in Mumbai is seeking a skilled ML Engineer to design, develop, and deploy robust ML models for financial use cases such as risk assessment and fraud detection.

You will collaborate with product and data science teams, preprocess large financial datasets, monitor deployed systems, document methodologies, and stay current with AI/FinTech trends. Requires 2–5 years of experience and strong Python/R/Java skills.

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, Mathematics or related quantitative field.
• 2–5 years of professional experience in AI/ML, preferably within the financial domain.
• Proficiency in Python, R or Java, with ML libraries.
• Strong statistical analysis, data modeling, and algorithm optimization techniques.
• Experience with big data technologies and cloud platforms (AWS, Azure, or Google Cloud) is desirable.
• Excellent communication skills to explain technical concepts to non-technical stakeholders effectively.

Responsibilities

• 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.

Skills

Python

R

Java

TensorFlow

PyTorch

Scikit-learn

Big data

Cloud platforms

Education

Bachelor's or Master's in Computer Science, Data Science, Mathematics

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

Google Cloud

Job description

TestHiring is a smart online candidate evaluation platform designed for recruiters, HR teams, and hiring managers seeking efficiency, fairness, and accuracy in their hiring. With early screening via automated ranking and unbiased scoring, TestHiring helps identify top talent in less time

Join us at TestHiring to revolutionize how your hiring works—faster, fairer, and more cost-effective. Discover more on our Product, Features, and Resources pages, or explore our Blog for insights on skills-based recruitment.

Job Description

• 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.