AI / ML Engineer - NLP / Computer Vision

Responsibilities :

• Develop and implement machine learning models and algorithms for classification, regression, clustering, recommendation, and more.
• Build and maintain data pipelines for training and inference workflows.
• Collaborate with data scientists, product managers, and software engineers to integrate AI models into production systems.
• Optimize model performance and scalability for real-time and batch processing.
• Conduct experiments, evaluate model performance, and iterate based on results.
• Stay up to date with the latest research and advancements in AI / ML and apply them to practical use cases.
• Document code, processes, and model behavior for reproducibility and compliance.

Basic Requirements :

1. Programming Languages :

Python : Core language for AI / ML development. Proficiency in libraries like :

2. Machine Learning & Deep Learning Frameworks :

Experience building models using the following :

3. Natural Language Processing (NLP) :

Familiarity with :

4. Computer Vision (CV) :

Experience with :

5. Data Engineering & Pipelines :

6. Model Deployment & MLOps :

Experience deploying models as :

7. Cloud Platforms :

Hands-on experience with at least one cloud provider :

8. Databases & Data Access :

Proficiency in :

9. Version Control & Collaboration :

10. Testing & Debugging :

(ref : hirist.tech)