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Ad in: Salem, India - Other Jobs
WE ARE HIRING FOR AI&ML DEVELOPER IN SALEM - Price: Rs. 10000


Ad # 1004520
An AI/ML Developer is a specialized software professional who designs, trains, and deploys intelligent models. Rather than relying solely on traditional hard-coded logic, they use data-driven algorithms to build systems that can learn, adapt, and solve complex business problems.
Responsibilities
Model Training: Preparing datasets, selecting appropriate algorithms, and training machine learning or deep learning models.
System Integration: Embedding AI models into web, mobile, or enterprise software so they can interact with users and databases.
Optimization & ML
Ops: Scaling models, monitoring performance, and ensuring they operate efficiently in production environments
Skills Needed
\Programming Languages: High proficiency in Python is the industry standard. Knowledge of JavaScript, SQL, or Java is also highly beneficial.ML Frameworks: Familiarity with libraries such as TensorFlow, PyTorch, and scikit-learn.
Applied Math: Understanding of statistics, linear algebra, and probability to fine-tune models effectively.
Cloud Platforms: Experience with deployment and data pipelines on AWS, Microsoft Azure, or Google Cloud (GCP).
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Responsibilities
Model Training: Preparing datasets, selecting appropriate algorithms, and training machine learning or deep learning models.
System Integration: Embedding AI models into web, mobile, or enterprise software so they can interact with users and databases.
Optimization & ML
Ops: Scaling models, monitoring performance, and ensuring they operate efficiently in production environments
Skills Needed
\Programming Languages: High proficiency in Python is the industry standard. Knowledge of JavaScript, SQL, or Java is also highly beneficial.ML Frameworks: Familiarity with libraries such as TensorFlow, PyTorch, and scikit-learn.
Applied Math: Understanding of statistics, linear algebra, and probability to fine-tune models effectively.
Cloud Platforms: Experience with deployment and data pipelines on AWS, Microsoft Azure, or Google Cloud (GCP).
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