Posted:19 hours ago|
Platform:
On-site
Full Time
Build and optimize machine learning and deep learning models.
Work with large datasets for training, validation, and testing.
Develop scalable ML pipelines and APIs.
Deploy models into production using standard engineering practices.
Collaborate with cross-functional teams (engineering, product, leadership).
Perform research and stay updated with the latest AI advancements.
Maintain documentation, model performance metrics, and ensure continuous improvements.
Bachelor's or Master's (Master's Prefered) degree in:
oComputer Science
oArtificial Intelligence / Machine Learning
oData Science
oEngineering (CSE/ECE/IT)
oOr an equivalent strong academic background
Demonstrated experience in training and deploying ML models.
Experience working on end-to-end AI projects in a production environment.
Strong problem-solving and algorithmic thinking.
Understanding of modern ML techniques, model evaluation, feature engineering, and optimization.
Experience building and deploying APIs (FastAPI/Flask/Django).
Familiarity with data engineering concepts and model lifecycle management.
Strong communication and documentation ability.
Ability to take ownership and work independently.
Team-oriented, proactive, and driven mindset.
Ability to translate complex problems into practical solutions.
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