AI/ML Developer

Experis; Khordha; On-site; INR 1,200,000 - 3,000,000; Full time

Job summary

Experis is seeking an AI/ML Developer to research, design, and implement machine learning solutions based on business requirements. The role focuses on developing AI algorithms, NLP solutions, and data models while monitoring model performance in collaboration with cross-functional teams.

You will prototype and deploy ML models, optimize algorithms for quality and efficiency, and apply NLP techniques such as Word2Vec and BERT embeddings to real datasets.

Responsibilities

• Research and implement ML algorithms and tools.
• Develop ML applications based on business requirements.
• Design and develop robust AI and ML algorithms.
• Optimize quality and performance of ML models.
• Implement NLP and Text Analytics using Word2Vec and BERT embeddings.
• Develop custom data models and algorithms for various datasets.
• Coordinate with cross-functional teams to deploy models.
• Develop processes to monitor model performance and data accuracy.
• Define, prototype, and implement ML models and algorithms.
• Perform data mining and detailed data analysis.

Job description

Job Overview

We are looking for an AI/ML Developer to research, design, develop, and implement Machine Learning solutions based on business requirements. The candidate will be responsible for developing AI algorithms, NLP solutions, custom data models, and monitoring model performance while collaborating with cross-functional teams.

Key Responsibilities

• Research and implement appropriate Machine Learning algorithms and tools.
• Develop Machine Learning applications based on business requirements.
• Design and develop robust AI and Machine Learning algorithms.
• Optimize the quality and performance of Machine Learning algorithms and models.
• Implement NLP and Text Analytics solutions using Word2Vec and BERT embeddings.
• Develop custom data models and algorithms for various datasets.
• Coordinate with cross-functional teams to implement Machine Learning models and monitor outcomes.
• Develop processes and tools to monitor model performance and data accuracy.
• Define, prototype, and implement Machine Learning models and algorithms.
• Perform data mining and detailed data analysis.