AI Model Developer

16 hours ago


Kollam, Kerala, India beBeeArtificial Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job Title

AI Model Development Engineer

About the Role

We are seeking a highly skilled AI Model Development Engineer to lead the development and deployment of advanced AI models.

This role emphasizes comprehensive technical skills and strategic oversight, including model fine-tuning, understanding and enhancing model architectures, and integrating cutting-edge research into robust, scalable production solutions.

You will oversee the deployment, monitoring, and continuous improvement of open-source and proprietary models for enterprise clients and internal products.

  • Advanced Model Development & Optimization: Build, fine-tune, and optimize traditional machine learning and deep learning models to deliver scalable, production-grade solutions across multiple domains (NLP, Vision, Audio).
  • 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.
  • Comprehensive Documentation & Communication: Clearly document and communicate complex technical solutions, methodologies, and results to stakeholders across the organization.

Requirements

To be successful in this role, you will need:

  • Tech Skills: 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.
  • 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.


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