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AI/ML Engineer
AI/ML EngineerConfidential • Kolkata, India
AI / ML Engineer

AI / ML Engineer

Confidential • Kolkata, India
23 days ago
Job description

Key Responsibilities

The core focus is on the end-to-end Machine Learning lifecycle applied to real-time financial data.

Required Skills and Qualifications

Technical Expertise (Must-Haves)

  • Programming : Proficiency in Python (essential) and experience with languages like C++ (for high-frequency trading), Java, or R.
  • ML Frameworks : Expertise in deep learning libraries such as TensorFlow, PyTorch, or Keras .
  • MLOps : Experience with tools for containerization ( Docker ), deployment, model monitoring, and version control.
  • Data / Big Data : Strong knowledge of SQL and NoSQL databases, and familiarity with distributed computing tools like Apache Spark or Hadoop .
  • Mathematics : Strong foundation in Applied Mathematics, Statistics, Probability Theory, Linear Algebra, and Calculus (essential for interpreting and optimizing complex ML models).

Domain Expertise (Fintech & Trading)

  • Financial Literacy : Deep understanding of financial products, market microstructure, trading systems , and financial modeling.
  • Financial Regulations : Knowledge of financial regulations and compliance requirements (e.g., GDPR, PSD2, KYC, AML ).
  • Specialized Experience : Experience with real-time trading systems , payment gateway integrations, and financial APIs.
  • Education and Soft Skills

  • Education : Bachelor's degree in Computer Science, Financial Engineering, AI, or Mathematics; a Master's or Ph.D. is often highly desirable for roles involving complex modeling.
  • Soft Skills : Excellent communication skills to convey complex AI concepts to non-technical stakeholders (business, product managers, and clients).
  • Mindset : Strong analytical, critical thinking, and problem-solving skills, with a proactive and adaptive mindset to keep up with evolving AI techniques.
  • Skills Required

    Java, Hadoop, Apache Spark, probability theory, Statistics, calculus, Sql, Nosql, Tensorflow, Pytorch, Docker, Applied Mathematics, Keras, linear algebra, Python

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