AI Engineer
Job Description
We are looking for a skilled AI Engineer to develop and deploy machine learning models, build scalable
AI solutions and optimize data pipelines. In 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