AI/ML ENGINEER
Posted
Summary
AI/ML Engineer who designs, deploys, and optimizes scalable machine learning models, monitors their production performance, and integrates AI capabilities with cross-functional teams. Core stack is Python with data science, machine learning, and deep learning frameworks.
AI/ML Engineer
Summary
We are seeking a skilled AI/ML Engineer to drive the development and implementation of advanced machine learning solutions within our IT Services sector. In this pivotal role, you will bridge the gap between complex data insights and actionable business outcomes by designing, deploying, and refining sophisticated models. Your expertise will be essential in optimizing system performance, ensuring data integrity, and fostering collaboration across diverse teams to solve critical challenges using cutting-edge artificial intelligence technologies.
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.
Requirements
Requirements:
- 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.