AI Model Developer

2 weeks ago


Ajmer, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: AI Model Developer

We are seeking a highly skilled and experienced AI/ML Engineer to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have expertise in building and optimizing machine learning models with a deep understanding of both statistical theory and modern AI techniques.

This role involves working on high-impact projects from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI.

Key Responsibilities:
  • Research, design, and implement machine learning models for predictive and generative AI applications.
  • Apply advanced statistical methods to improve model robustness and interpretability.
  • Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.
  • Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation.
  • Work closely with ML engineers to validate, train, and deploy the models.
Qualifications & Skills:
  • Education: PhD or master's degree in Statistics, Mathematics, or Data Science.
  • Experience: 4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.
  • Proficiency in SQL, Python, and visualization tools (Power BI).
  • Strong communication skills to interact effectively with both technical and non-technical stakeholders.
  • Excellent problem-solving skills with the ability to work independently and as part of a team.
Benefits:

You will have the opportunity to work with a talented team of professionals, contribute to the development of innovative AI solutions, and gain experience in a rapidly growing field.

Others:

Please note that this is not an entry-level position, and we are looking for candidates with significant experience in AI/ML. We value diversity and inclusion in our workplace and encourage applications from underrepresented groups.


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