AI/ML Visionary Leader

4 days ago

Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 17,49,938 - ₹ 25,39,946
AI/ML Leadership Opportunity

You have the chance to make a significant impact and shape the future of financial services. Let's push the boundaries of what's possible together.

As an Applied AI/ML Director, you will provide deep technical expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Key Responsibilities:

  • Lead the development and implementation of GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
  • Oversee the design, deployment, and management of prompt-based models on LLMs for various NLP tasks in the financial services domain.
  • Conduct and guide research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
  • Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
  • Communicate effectively with both technical and non-technical stakeholders, including senior leadership.
  • Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
  • Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
  • Analyze and interpret data to evaluate model performance and identify areas of improvement.

Required Qualifications:

  • Formal training or certification on Machine Learning concepts and 10+ years applied experience.
  • 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
  • Hands-on experience in building Agentic AI solutions.
  • Familiarity with LLM orchestration and agentic AI libraries.
  • Strong programming skills in Python with experience in PyTorch or TensorFlow.
  • Experience building data pipelines for both structured and unstructured data processing.
  • Experience in developing APIs and integrating NLP or LLM models into software applications.
  • Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
  • Excellent problem-solving skills and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner.
  • Basic knowledge of deployment processes, including experience with GIT and version control systems.
  • Hands-on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments.

Preferred Qualifications:

  • Familiarity with model fine-tuning techniques.
  • Knowledge of financial products and services, including trading, investment, and risk management.

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