Artificial Intelligence (AI)/Machine Learning (ML) Engineer (Junior Officer/Officer/Senior Officer Level)

Job Code: SBL-ICT-004-81/82

Artificial Intelligence (AI)/Machine Learning (ML) Engineer

Level: Junior Officer/Officer/Senior Officer Level

Required No.: Five (5)

Location: Kathmandu, Nepal

Department: Digital Enabler

MINIMUM QUALIFICATION AND REQUIREMENTS:

Senior Officer Level

• Bachelor’s Degree in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 4 years of relevant work experience

OR

• Master’s Degree in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 3 years of relevant work experience

Officer Level

• Bachelor’s Degree in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 3 years of relevant work experience

OR

• Master’s Degree in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 2 years of relevant work experience

Junior Officer Level

• Bachelor’s Degree with minimum 50% marks or CGPA 2.5 in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 2.5 years of relevant work experience

OR

• Master’s Degree with minimum 50% marks or CGPA 2.5 in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 1.5 years of relevant work experience

AGE LIMIT

For Officer and Senior Officer Level:

Male: Minimum 21 Years of age not exceeding 40 years as on application deadline

Female: Minimum 21 Years of age not exceeding 45 years as on application deadline

For Junior Officer Level:

Male: Minimum 21 Years of age not exceeding 35 years as on application deadline

Female: Minimum 21 Years of age not exceeding 40 years as on application deadline

JOB PROFILE:

• Design, develop and optimize machine learning algorithms and AI Models to enhance predictive capabilities for credit risk, fraud detection and operational efficiency.
• Interpret and translate business requirements from banking functions into data-driven, machine learning solutions.
• Execute full-cycle data workflows including acquisition, cleansing, transformation, and exploratory analysis to prepare structured datasets for modeling.
• Develop, train, and validate machine-learning models using techniques such as regression, classification, clustering, time series forecasting, and natural language processing.
• Evaluate model performance using statistical and technical metrics and implement iterative improvements for enhanced accuracy, scalability, and business relevance.
• Design and maintain robust MLOps pipelines, ensuring reliable model deployment, version control, performance monitoring, and retraining capabilities.
• Document all modeling procedures, including data sources, assumptions, validation approaches, and ethical considerations to ensure auditability and compliance.
• Collaborate closely with software developers, IT infrastructure units, and business process owners to ensure seamless integration and adoption of AI/ML systems.
• Monitor the evolution of AI/ML tools, frameworks, ethical guidelines, and best practices, and assess their applicability to the Bank’s operations.
• Design, build, train, and deploy machine learning models and AI solutions.
• Analyze large datasets to derive actionable insights and build predictive models
• Stay up-to-date with the latest AI/ML research, tools, and technologies.

REQUIRED JOB KNOWLEDGE/EXPERTISE:

• Proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, Pandas, and NumPy
• Familiarity with big data processing platforms like Apache Spark, PySpark.
• Proficient in AI framework – LangChain
• Strong Understanding of Retrieval Augmented Generation (RAG) architecture.
• Strong Knowledge of vector database
• Knowledge on types of AI based on modern advancements
• Hands-on experience with MLOps tools, CI/CD pipelines, and version control systems (Git)
• Sound understanding of AI/ML governance, responsible AI, and data privacy regulations applicable in the Banking sector

The Bank reserves the right to reject any/all applications without assigning any reason whatsoever. Only shortlisted candidates shall be called for the further selection process.

Canvassing at any stage of the processes shall lead to disqualification of the candidate for this vacancy. Application received from any other medium other than Bank’s website shall be disqualified. No Telephone queries will be entertained for this purpose.

Application Deadline 18th June 2025