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We are hiring for ai&ml develpers in salem - Salem
Saturday, 27 June, 2026
Item details
City:
Salem, Tamil Nadu
Salary:
Rs 15,000
Item description
An AI/ML Developer builds and deploys intelligent software by designing machine learning models, creating data pipelines, and integrating AI algorithms into production. They bridge the gap between data science and software engineering to solve complex business problems.
Responsibilities
Model Development: Design, train, and test machine learning and deep learning models to accomplish specific tasks (e.g., predictive analytics, NLP, or computer vision).Data Engineering: Pre process raw datasets, perform feature engineering, and construct robust data pipelines for model training.
Deployment & Integration: Implement ML Ops practices to deploy models into production and collaborate with software engineers to integrate AI features into existing platforms.
Qualifications & Skills
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a highly quantitative field.
Programming: Proficiency in software engineering languages, most notably Python (or Java/R).Frameworks & Libraries: Hands-on experience with ML/DL frameworks such as TensorFlow, Py
Torch, and scikit-learn .Data Handling: Familiarity with data analysis and processing libraries like Pandas and NumPy .Cloud & Tools: Experience working within cloud environments (AWS, GCP, or Azure).
Responsibilities
Model Development: Design, train, and test machine learning and deep learning models to accomplish specific tasks (e.g., predictive analytics, NLP, or computer vision).Data Engineering: Pre process raw datasets, perform feature engineering, and construct robust data pipelines for model training.
Deployment & Integration: Implement ML Ops practices to deploy models into production and collaborate with software engineers to integrate AI features into existing platforms.
Qualifications & Skills
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a highly quantitative field.
Programming: Proficiency in software engineering languages, most notably Python (or Java/R).Frameworks & Libraries: Hands-on experience with ML/DL frameworks such as TensorFlow, Py
Torch, and scikit-learn .Data Handling: Familiarity with data analysis and processing libraries like Pandas and NumPy .Cloud & Tools: Experience working within cloud environments (AWS, GCP, or Azure).
