AI Monitoring Professional - Remote

Location - Remote

Shit Timings - Night shifts

Demand Name : AI Monitoring Professional

Engagement & Project Overview

An AI model trainer brings specialised knowledge in developing and fine-tuning machine learning models. They can ensure that your models are accurate, efficient, and tailored to your specific needs. Hiring an AI model trainer and tester can significantly enhance our data management and analytics capabilities

1.

Develop and fine-tune machine learning models.

Ensure models are accurate, efficient, and tailored to our specific needs.

2. Quality Assurance:

Rigorously evaluate models to identify and rectify errors.

Maintain the integrity of our data-driven decisions through high performance and reliability.

3. Efficiency and Scalability:

Streamline processes to reduce time-to-market.

Scale AI initiatives and ML engineering skills effectively with dedicated model training and testing.

4. Production ML Monitoring & MLOps:

model monitoring pipelines

)

Collaborate with teams to integrate monitoring into CI/CD pipelines, using platforms like Kubeflow, MLflow, Airflow, and Neptune.ai.

Define and manage automated retraining triggers and model versioning strategies.

Ensure observability and traceability across the ML lifecycle in production environments.

Preferred Experience /Qualification /Certifications

Qualifications:

5+ years of experience in the respective field.

Proven experience in developing and fine-tuning machine learning models.

Strong background in quality assurance and model testing.

Ability to streamline processes and scale AI initiatives.

Innovative mindset with a keen understanding of industry trends.

License/Certification/Registration

Expected No. of Interviews

1-2