AI / ML Engineer
ConfidentialKolkata, India1 day ago
Job descriptionFinancial 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 : 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.
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)
Education and Soft Skills
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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Engineer • Kolkata, India
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