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WNS
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AI - ML

AI - ML

WNS

5 years

2 - 5 Lacs

Noida

Posted:1 day ago| Platform: GlassDoor logo

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Skills Required

ai ml model development learning integrity data reliability efficiency scalability engineering training testing monitoring drift logging aws sagemaker gcp vertex azure mlflow airflow versioning strategies traceability tuning certification

Work Mode

On-site

Job Type

Part Time

Job Description

Expertise in Model Development:

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:

Implement and maintain model monitoring pipelines to detect data drift, concept drift, and model performance degradation.
Set up alerting and logging systems using tools such as Evidently AI, WhyLabs/Prometheus + Grafana or cloud-native solutions (AWS SageMaker Monitor, GCP Vertex AI, Azure Monitor ) .
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.

Qualifications

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

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