AVP, Applied Model Ops Developer (L11)

Synchrony
Hyderabad, Bengaluru, Pune, Kolkata, Delhi
Full timeFunction: Software EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Attention to detail","Leadership","Data quality focus"]

Build and operate production-ready AI/ML model monitoring infrastructure by designing scalable data pipelines, tooling, and automation for post-deployment performance tracking. Partner with model developers, risk, compliance, and analytics teams to translate evolving governance needs into monitored, model-ready data. Develop end-to-end ML pipelines (ingestion to training), implement CI/CD for models and data validation, and integrate MLOps/observability components to support resilient, compliant monitoring at scale.

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FursaFursa
Synchrony
Synchrony
1 day ago

AVP, Applied Model Ops Developer (L11)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and operate production-ready AI/ML model monitoring infrastructure by designing scalable data pipelines, tooling, and automation for post-deployment performance tracking. Partner with model developers, risk, compliance, and analytics teams to translate evolving governance needs into monitored, model-ready data. Develop end-to-end ML pipelines (ingestion to training), implement CI/CD for models and data validation, and integrate MLOps/observability components to support resilient, compliant monitoring at scale.
Location: Hyderabad, Bengaluru, Pune, Kolkata, Delhi
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and build data infrastructure, pipelines, and tooling for robust, automated post-deployment monitoring of models.
  • •Develop scalable architectures for real-time and batch monitoring, including ingestion, enrichment, and retention.
  • •Create and maintain automated end-to-end ML pipelines covering data collection, preprocessing, feature engineering, and model training.
  • •Implement CI/CD pipelines that handle code plus data validation, model training, and artifact management.
  • •Collaborate with model risk and compliance teams to ensure data lineage, audit trails, and documentation for regulatory reviews.

Pay and Benefits

Perks:Remote Work

Key Requirements

  • •Bachelor’s degree in a quantitative, technical, or data-focused field with 6+ years’ experience, or 8+ years of relevant work experience in monitoring, validation, or credit risk strategy.
  • •6+ years’ experience in model operations, data engineering, or analytics infrastructure, with strong data engineering tooling/framework skills.
  • •Proficiency in programming languages including SAS, Python, and SQL for monitoring pipelines and validation checks.
  • •Experience with cloud-based data infrastructure (AWS, Azure, GCP) and data warehousing platforms (Snowflake, Redshift, BigQuery).
  • •Familiarity with MLOps practices, model metadata tracking (MLflow), and monitoring toolkits (e.g., Evidently AI, WhyLabs, Prometheus).
Experience:6+ yearsAI/MLData engineeringModel operationsCredit riskMLOps
Education:Bachelor's
Skills:Problem-solvingCommunicationAttention to detailLeadershipData quality focus
Tech Stack:Apache SparkAirflowKafkaDbtPySparkSASPythonSQLAWSAzureGCPSnowflakeRedshiftBigQueryMLflowEvidently AIWhyLabsPrometheus

Company Brief

Synchrony
Provides consumer financing solutions including private-label credit cards, co-branded cards, and specialty financing for retailers and consumers, alongside digital banking and payment solutions.
Industry: Lending
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stamford, United States
Founded: 2003
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn