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AI Engineer

2 months ago

Bengaluru, India RevSure AI Full time

Company Description

Introducing the future of B2B attribution: RevSure, the ONLY enterprise-grade Full Funnel attribution AI solution for complex GTM motions.


RevSure is a go-to platform for marketing trailblazers with bold pipeline and ROI goals, offering killer insights, spot-on predictions, and actionable recommendations. The platform empowers modern demand generation teams to 3X their pipeline and confidently prove marketing ROI. Unlike legacy attribution solutions, RevSure combines full-funnel attribution with predictive intelligence and active recommendations, providing high-growth marketing teams the information they need to be more effective at every stage of the lead journey.


Role Description

The AI/ML and Data Science team at RevSure builds robust, scalable Predictive AI models to improve pipeline generation for B2B companies by providing AI-driven insights, predictions and recommendations.


You will work closely with the Product, Data, ML Engineering, and Customer Success teams to ensure successful product development and customer deployments.


Qualifications


  • 3+ years of experience in advanced AI/ML and Data Science models for business applications related to Sales, Marketing, Customer and Operations
  • Experience with developing and fine-tuning Generative AI models
  • Worked with data from CRM, Marketing Automation, Campaign management systems
  • Deep understanding of Machine Learning techniques such as XGBoost, SVMs, Random Forests, Markov Models, Bayesian, etc. in Python, Scikit-learn, PySpark, TensorFlow, etc.
  • Experience applying ML to both Classification and Regression problems
  • Understanding of how data extraction, ingestion, transformation, and pipelines are built and managed by data engineering teams
  • Deep Learning experience is preferred 
  • Practitioner of scalable, modularized, and parameterized ML programming practices
  • A stickler for robust Data Science practices (Validation methodologies, Explainable AI, etc.)
  • Experience prototyping, building, and scaling models in production in cloud environments (AWS, GCP, Azure)
  • Ability to research new methods, prototype, and implement them at scale.
  • Experience with Sales Intelligence/ Marketing Intelligence/Revenue Intelligence solutions/companies is a plus
  • Understanding and appreciation for software engineering technologies for ML Ops and Data Ops (Airflow, Kubernetes deployments, etc.)


Roles and Responsibilities

  • Build, deploy and maintain Machine Learning and Gen. AI models for various use cases.
  • Work with the Product leadership and Product teams to ensure successful product deployment.
  • Work closely with the Customer Success teams to deliver successful new customer onboarding
  • Ensure that RevSure product remains on the leading edge of AI driven insights, prediction and  recommendations.
  • Create and maintain a Project Plan in coordination with Engineering and Product Leads, and deliver upon the same on time and as per expectations.
  • Motivate and guide the team members on their learning paths to improve their craft.