AI Innovator

1 day ago

Jaipur, Rajasthan, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior AI Engineer Role OverviewThis is a senior position that empowers you to leverage your extensive machine learning and AI expertise to directly influence our strategic direction, drive innovation in diverse industry domains, and develop transformative solutions. Your leadership will set high technical standards, shape new AI-driven product offerings, and deliver measurable, outcome-oriented results aligned with our core values of Outcomes, Quality, Ownership, Accountability, and Communication.Main Responsibilities:
  • Build, fine-tune, and optimize traditional machine learning and deep learning models to deliver scalable, production-grade solutions across multiple domains (NLP, Vision, Audio).
  • Stay current with state-of-the-art machine learning and deep learning research, translating complex theoretical knowledge into practical, impactful business applications.
  • Lead the development of sophisticated deployment strategies and robust monitoring frameworks, ensuring continuous performance evaluation and iterative improvement.
  • Partner closely with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.
  • Guide junior engineers and promote high engineering standards, best practices, and continuous learning within the team.
  • Clearly document and communicate complex technical solutions, methodologies, and results to stakeholders across the organization.
We are looking for someone who embodies our core values and has a proven track record of delivering AI-driven solutions to production, demonstrating tangible impact and continuous improvement through data-driven insights.Requirements:
  • Educational Background: Background in Computer Science, Data Science, Statistics, Mathematics, or a related technical discipline.
  • Technical Mastery: 4+ years of hands-on experience developing, deploying, and optimizing machine learning and deep learning models. Proficient in Python and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and familiarity with cloud platforms like AWS, Azure, or GCP.
  • Strong Data Science Fundamentals: Deep understanding of traditional machine learning techniques, statistical analysis, predictive modeling, and advanced data science concepts.
  • Deep Learning Expertise: Proven ability to implement and fine-tune complex neural network architectures, including transformer-based models, CNNs, and RNNs. Production expertise highly desirable.
  • Strategic Problem-Solving: Demonstrated ability to address ambiguous problems strategically, creatively, and analytically, driving measurable business outcomes.
  • Excellent Communication Skills: Ability to clearly articulate technical solutions and insights to diverse stakeholders, from engineers to executives.

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