Production AI​/ML Engineer - Scalable Models & AI

✔️ Design, develop, and deploy machine learning models for real-world applications.
Ensure models are scalable, reliable, and optimized for production environments.

✔️ Work with large structured and unstructured datasets from multiple sources.
Perform data cleaning, transformation, and preprocessing for analysis readiness.

✔️ Build predictive, classification, and recommendation models.
Continuously improve model accuracy through experimentation and tuning.

✔️ Collaborate with data engineers and software developers.
Integrate AI solutions seamlessly into existing systems and workflows.

✔️ Deploy models using cloud platforms and monitor performance.
Ensure consistent behavior in live production environments.

✔️ Implement deep learning and natural language processing solutions.
Enhance automation and intelligent decision-making capabilities.

✔️ Perform feature engineering to improve model effectiveness.
Analyze patterns and correlations in complex datasets.

✔️ Use frameworks like Tensor Flow, PyTorch, and Scikit-learn.
Develop reusable and scalable machine learning pipelines.

✔️ Evaluate models using appropriate metrics and validation techniques.
Ensure robustness and generalization of results.

✔️ Automate training, testing, and deployment pipelines.
Improve efficiency and reduce manual intervention.

✔️ Collaborate with stakeholders to understand business requirements.
Translate business problems into technical AI solutions.

✔️ Maintain clear and comprehensive documentation of models.
Support knowledge sharing and future development.

✔️ Troubleshoot model and pipeline issues.
Implement fixes and optimize performance.

✔️ Ensure compliance with data privacy and ethical AI standards.
Implement responsible AI practices across projects.

✔️ Optimize models for speed, scalability, and efficiency.
Improve inference time and system throughput.

✔️ Participate in code reviews and technical discussions.
Maintain high-quality coding and development standards.

✔️ Support integration of AI features into applications.
Ensure seamless user experience and functionality.

✔️ Stay updated with the latest AI trends and technologies.
Adopt best practices and innovative approaches.

✔️ Conduct experiments and A/B testing.
Validate the effectiveness of deployed AI solutions.

✔️ Mentor junior team members and provide technical guidance.
Contribute to team growth and knowledge development.