Senior AI and GenAI Innovation Leader

1 week ago

Guntur, Andhra Pradesh, India beBeeDataScience Full time ₹ 19,48,381 - ₹ 21,99,922
Lead AI and GenAI Strategist">

The successful candidate will lead the development and deployment of AI and GenAI driven modules within our platform, providing architectural and algorithmic leadership to solve critical client problems at scale.

Responsibilities
  • Advanced AI and GenAI for Problem Discovery: Lead a team of data scientists, GenAI developers, and ML engineers in hands-on mode. Develop and deploy models including anomaly detection, predictive analytics, causal inferencing, and action recommendation models for real-time and batch processing scenarios.
  • Gen-AI-Powered Analysis and Insights Generation: Lead data scientists in creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns into actionable insights for business stakeholders.
  • Reference Architectures: Work with Technical Architects to evolve frameworks for augmenting batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time.
  • Client Deployments: Consult and provide guidance for creating automated data pipelines ensuring data quality, integrity, and accessibility for model training and inference. Establish robust MLOps practices, including automated model monitoring, retraining triggers, and performance benchmarking.
  • Development of Use Cases: Lead and support development of use cases on the platform for various vertical specific problem statements. Participate in platform demonstration meetings by discussing platform capabilities and fitments.
  • Leadership and Collaboration: Lead and mentor a team of data scientists and machine learning engineers, providing guidance on best practices in GenAI, AI/ML methodologies, and coding standards. Collaborate closely with product managers, data engineers, and business analysts to align AI solutions with platform goals and user requirements.
Key Skills and Qualifications
  • In-depth understanding of Statistics, Classical Machine Learning, Deep Learning, and GenAI along with significant hands-on experience.
  • Able to understand business problems in various domains, quickly grasp problem discovery analysis, and modelling imperatives, and translate those into AI model requirements.
  • Exposure to proprietary and open-source cloud-based Machine Learning platforms, including Amazon Sagemaker, Azure Machine Learning Studio, Google Datalab, and H2O.
  • Hands-on experience with excellent ML programming skills in Python using open-source libraries.
  • Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies.
  • 12-18 years of Machine Learning model development and application experience.
  • Experience in building cloud-based products that implement GenAI and ML modelling as a service.

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