AI/ML Engineer

Summary

Responsibilities

• Architect and deploy scalable machine learning models while continuously optimizing their efficiency and accuracy.
  
• Conduct comprehensive data analysis to extract meaningful patterns and inform strategic decision-making processes.
  
• Establish robust frameworks for monitoring model performance in production environments to ensure reliability.
  
• Collaborate closely with cross-functional teams, including product managers and software engineers, to integrate AI capabilities into broader business solutions.
  
• Apply advanced problem-solving techniques to address technical hurdles and improve system architecture.
  
• Utilize deep learning methodologies to develop innovative solutions for complex, unstructured data challenges.
  
• Leverage Python programming to build, test, and maintain high-quality codebases for machine learning pipelines.
  

• Proven work experience of 4 to 7 years in developing and deploying AI/ML solutions.
  
• Proficiency in Python programming with a strong foundation in data science libraries.
  
• Hands-on expertise in Deep Learning (DL) and Machine Learning (ML) frameworks and algorithms.
  
• Demonstrated ability in model deployment, optimization, and lifecycle management.
  
• Strong analytical skills with a track record of performing in-depth data analysis.
  
• Experience in setting up and managing model performance monitoring systems.
  
• Excellent cross-functional collaboration skills with a proactive problem-solving mindset.
  
• Competitive salary range of ₹13-17 LPA commensurate with experience and expertise.