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792

job history

Industry:

Finance/Banking/Insurance

Number of Employees:

1500-2000

Type:

LLC/OJSC/CJSC

Date of Foundation:

1996

Machine Learning Engineer (Mid-Level)

Full time

Yerevan

10 December 2024

Employment term Permanent

Category Software development

Job description:

Acba bank is looking for a Mid-Level Machine Learning Engineer to join our team.

Job responsibilities
  • Develop, maintain, and improve machine learning models for customer data analysis to support banking decisions.
  • Collaborate with data engineers and IT staff to deploy scalable machine learning solutions into production.
  • Analyze large datasets to identify trends, patterns, and insights that can enhance our banking products and services.
  • Work closely with the business team to understand their requirements and translate business problems into quantitative terms.
  • Optimize existing machine learning models for better efficiency and accuracy.
  • Conduct A/B tests to validate model performances and implement improvements based on feedback.
  • Stay abreast of the latest developments in machine learning, particularly as they apply to finance and banking.
  • Document all processes and models in a clear and concise manner for both technical and non-technical audiences.
Required qualifications
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 3+ years of experience in machine learning or data science, with a focus on banking or financial services.
  • Proficiency in programming languages such as Python or R, and familiarity with SQL and database management.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, Pandas).
  • Knowledge of advanced machine learning techniques such as deep learning, NLP, or reinforcement learning.
  • Strong understanding of data structures, data modeling, and software architecture.
  • Proven track record of developing and implementing machine learning models and data-driven solutions.