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AI Engineer

Hirestar Job Bank


Job Location:

Kochi - India

Monthly Salary: Not provided by the employer
Posted: 10 October 2026 (Yesterday)
Application Deadline: 7 January 2027
Vacancies: 1 Vacancy

Job Summary

Job Description

We are looking for a skilled AI Engineer to develop and deploy machine learning models build scalable

AI solutions and optimize data this role you will collaborate with data scientists software

developers and stakeholders to create innovative AI applications. If you have expertise in AI frameworks

model deployment and a passion for solving real-world challenges we’d love to have you on our team!

Key Responsibilities

• Design and implement machine learning algorithms and models for various applications.

• Collaborate with data scientists software developers and stakeholders to understand

requirements and translate them into technical solutions.

• Develop AI applications using programming languages such as Python R etc. and AI

frameworks like Keras TensorFlow PyTorch scikit-learn etc.

• Build scalable and efficient data pipelines for training and deploying machine learning models.

• Evaluate and experiment with new AI technologies tools and frameworks to continuously

improve our AI capabilities.

• Deploy AI models into production and monitor their performance in real-world scenarios.

• Ensure data quality integrity and availability throughout the AI development lifecycle.

• Stay updated with the latest advancements in AI and machine learning research and apply them to

solve practical problems.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science Engineering Mathematics or a related

field.

• 1 years as an AI Engineer Machine Learning Engineer or similar role with hands-on

experience in designing and implementing machine learning models.

• Proficiency in Python R Java etc. with familiarity in AI frameworks like TensorFlow PyTorch

and scikit-learn.

• Strong understanding of supervised and unsupervised learning deep learning reinforcement

learning etc.

• Experience in data preprocessing feature engineering and model evaluation techniques.

• Knowledge of version control (Git) testing and agile development methodologies.

• Strong analytical skills with the ability to work independently and in a team.

• Effective collaboration with cross-functional teams and stakeholders