Transformational AI Leader

20 hours ago

Kota, Rajasthan, India beBeeMACHINELEARNING Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior AI Engineer Role

We are seeking a skilled Senior AI Engineer to lead the development and deployment of advanced AI and machine learning models. As a key member of our team, you will be responsible for building and optimizing traditional machine learning and deep learning models to deliver scalable, production-grade solutions.

This role requires a strong background in computer science, data science, or a related technical discipline, with at least 4 years of hands-on experience developing, deploying, and optimizing machine learning and deep learning models.

The ideal candidate will have expertise in Python, TensorFlow, PyTorch, scikit-learn, and cloud platforms like AWS, Azure, or GCP. They will also possess strong data science fundamentals, including traditional machine learning techniques, statistical analysis, predictive modeling, and advanced data science concepts.

As a Senior AI Engineer, you will work closely with cross-functional teams to align technical decisions with strategic business outcomes. You will also guide junior engineers and promote high engineering standards, best practices, and continuous learning within the team.

Key responsibilities include:

  • Advanced Model Development & Optimization: Build, fine-tune, and optimize traditional machine learning and deep learning models.
  • Research & Technical Leadership: Stay current with state-of-the-art machine learning and deep learning research, translating complex theoretical knowledge into practical, impactful business applications.
  • Strategic Deployment & Monitoring: Lead the development of sophisticated deployment strategies and robust monitoring frameworks, ensuring continuous performance evaluation and iterative improvement.
  • Cross-Functional Collaboration: Partner closely with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.
  • Technical Mentorship: Guide junior engineers and promote high engineering standards, best practices, and continuous learning within the team.

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.
  • Proven Track Record: Experience delivering AI-driven solutions to production, demonstrating tangible impact and continuous improvement through data-driven insights.

Benefits:

  • Work from anywhere
  • Flexible work hours
  • All leaves taken are paid leaves
  • Family Insurance
  • Quarterly Collaboration Week

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