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Jobs by Experience drjobs

5years

Job Location drjobs

Delhi - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

  • Advise on the deployment of Generative AI solutions including selecting suitable models and best practices for integration in public sector banks.
  • Guide AI/ML technology implementation for banking applications including data preparation model development and refinement for areas like Fraud & Risk Management.
  • Lead the design development and deployment of Generative AI models for various banking use cases.
  • Provide expertise on the GenAI tech stack including Large Language Models (LLMs) infrastructure and tools for successful deployment.
  • Support the setup and integration of the GenAI tech stack including vendor integrations cloud architecture preprocessing prompt engineering and model finetuning.
  • Stay updated on the latest advancements in GenAI technology and recommend solutions to enhance the bank s digital transformation.

Requirements

  • Experience in AI/ML with at least 2 years focusing on Generative AI technologies.
  • Proven track record in implementing AI solutions preferably in the banking or financial services industry.
  • Expertise in AI/ML algorithms natural language processing (NLP) and Generative AI model deployment.
  • Indepth understanding of the GenAI tech stack including LLMs cloud infrastructure and necessary tools for model development and integration.
  • Strong problemsolving and analytical skills with experience in developing innovative AI solutions.
  • Familiarity with AI/ML applications in banking such as fraud detection and risk management.
  • Excellent communication skills to collaborate with teams and present findings to senior leadership.
  • Experience in the banking or financial services industry.
  • Familiarity with cloud platforms (e.g. AWS Azure GCP) and vendor integrations for AI/ML solutions.
  • Knowledge of regulatory compliance requirements for AI/ML model deployment particularly in the financial sector.

Benefits

  • Competitive salary and performancebased bonuses.
  • Comprehensive insurance plans.
  • Collaborative and supportive work environment.
  • Chance to learn and grow with a talented team.
  • A positive and fun work environment.

Proven experience as a Data Scientist or similar role. Strong knowledge of data analysis, statistics, and machine learning. Proficiency in data science tools and programming languages such as Python, R, Azure Data-bricks, SQL, etc. Familiarity with: Supervised and unsupervised learning techniques Deep learning and reinforcement learning Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics Expertise in visualization tools such as Power BI, Spot fire, or similar. Excellent storytelling skills to explain complex data to non-technical/business teams Experience in analytics, preferably within Retail, CPG, or E-commerce domains. Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Employment Type

Full Time

Company Industry

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