Senior AI and GenAI Strategic Leader

5 days ago

Aligarh, Uttar Pradesh, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,01,00,000

Job Opportunity

We are seeking a seasoned professional to lead our AI and GenAI initiatives in the Solutions group, focusing on the Incedo Lighthouse TM platform. This role will provide architectural and algorithmic leadership to evolve AI and GenAI driven problem discovery, root cause analysis, and action recommendation modules within Incedo Lighthouse TM to solve critical client problems at scale.

  • Advanced AI and GenAI for Problem Discovery, RCA, and Action Recommendation: The selected candidate will lead a team of data scientists, GenAI developers, and ML engineers in hands-on mode. They will develop and deploy advanced LLM, SLM, and RAG based models, along with classical machine learning models, including anomaly detection, predictive analytics, causal inferencing, and action recommendation models.
  • Gen-AI-Powered Analysis and Insights Generation: The individual will lead data scientists in creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable insights for business stakeholders.
  • Reference Architectures: Collaboration with Technical Architects is required to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time.
  • Client Deployments of the Platform: Guidance will be provided for creating automated data pipelines for raw data and engineered features, ensuring data quality, integrity, and accessibility for model training and inference.
  • Development of Use Cases: The successful candidate will lead and support development of use cases on the platform for various vertical specific problem statements.
  • Leadership and Collaboration: Leadership and mentorship of a team of data scientists and machine learning engineers is essential, providing guidance on best practices in GenAI, AI/ML methodologies, and coding standards.

Key Qualifications

  • A deep understanding of Statistics, Classical Machine Learning, Deep Learning, and GenAI, with significant hands-on development experience in these areas.
  • The ability to understand business problems in various domains and translate them into AI model requirements.
  • Significant exposure to cloud-based Machine Learning platforms, including Amazon Sagemaker, Azure Machine Learning Studio, Google Datalab, and H2O.
  • Experience in leveraging open-source LLMs, prompt engineering, RAG based training, and SLM model development.
  • Hands-on experience with excellent ML programming skills in Python using open-source libraries.
  • Experience working with RDBMS and NoSQL databases; Exposure to Big Data technologies.
  • At least 12 years of Machine Learning model development and application experience.
  • Experience building cloud-based products that implement GenAI and ML modelling as a service.

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