Senior Software Engineer – ML Model Compliance & Automation Job at InfoObjects (Jaipur)

Senior Software Engineer - Network Enablement (Applied ML)

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

Strong software engineering skills including systems design, APIs, and building reliable backend services (Go or Python preferred)
Production experience with batch and streaming data pipelines and orchestration tools such as Airflow or Spark
Experience building or operating real-time scoring and online feature-serving systems, including feature stores and low-latency model inference
Experience integrating model outputs into product flows (APIs, feature flags) and measuring impact through experiments and product metrics
Experience with model lifecycle and operations: model registries, CI/CD for models, reproducible training, offline & online parity, monitoring and incident response

Job Responsibility

Embed model inference into Network Enablement product flows and decision logic (APIs, feature flags, backend flows)
Define and instrument product + ML success metrics (fraud reduction, retention lift, false positives, downstream impact)
Design and run experiments and rollout plans (backtesting, shadow scoring, A/B tests, feature-flagged releases) to validate product hypotheses
Build and operate offline training pipelines and production batch scoring for bank intelligence products
Ship and maintain online feature serving and low-latency model inference endpoints for real-time partner/bank scoring
Implement model CI/CD, model/version registry, and safe rollout/rollback strategies
Monitor model/data health: drift/regression detection, model-quality dashboards, alerts, and SLOs targeted to partner product needs
Ensure offline and online parity, data lineage, and automated validation / data contracts to reduce regressions
Optimize inference performance and cost for real-time scoring (batching, caching, runtime selection)
Ensure fairness, explainability and PII-aware handling for partner-facing ML features

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Senior Engineer, Sdet

The Sr Software Development Engineer in Test (SDET) is responsible for developin...

Location

United States , Bellevue

Salary:

Not provided

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's degree in Software Engineering, Computer Science or a related field with 5 years of relevant work experience
proficiency in 3 or more development languages such as C#, Java, JavaScript
proficiency in 3 or more automation tools such as Selenium, TestNG, Postman
experience with Test Driven Development and Behavior Driven Development methodologies
experience using CA Service Virtualization or equivalent
proficiency in agile project management systems
experience in designing and developing applications for Unix or Windows environments, mobile platforms, or multi-tiered applications
knowledge of AI and machine learning concepts including model evaluation and validation techniques
knowledge of version control systems like Git
strong problem-solving and analytical skills.

Job Responsibility

Design and implement robust testing strategies for Generative AI solutions
test functionality, performance accuracy, and production sampling
collaborate with data scientists and ML engineers
develop and maintain automated test suites for AI/ML pipelines and APIs
validate AI generative solutions for bias, fairness, and ethical compliance
provide internal training on Continuous Testing
contribute to the evolution of testing practices and quality standards
lead defect management and test strategies
clarify test requirements and provide estimates for tasks.

What we offer

Medical, dental, and vision insurance
flexible spending account
401(k) plan
employee stock grants
employee stock purchase plan
paid parental and family leave
family building benefits
childcare subsidy
short-term and long-term disability insurance
life and accident insurance

Fulltime

Senior Engineering Manager - Risk

Our mission is to build the intelligent, automated systems and operational tools...

Location

United States; Canada , San Francisco; New York; Portland

Salary:

239000.00 - 298800.00 USD / Year

Mercury

Expiration Date

Until further notice

Requirements

9+ years of software development experience
3–5+ years of engineering management in a high-scale tech environment
AI/ML expertise—you’ve built and launched applied AI products (from LLMs to traditional ML models), shipping them from 0→1 and scaling 1→10 in production environments
Proven success building large-scale backend distributed systems, ideally involving integrations and decision automation
Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech
A track record of raising the bar for quality and reliability, balancing shipping speed with technical excellence
Strong communication and leadership skills—you can inspire engineers, partner across functions, and adapt your management style to the moment
The ability to hire, retain, and develop exceptional technical talent
A pragmatic builder’s mindset: you believe beautiful systems are those that work, adapt, and last

Job Responsibility

Lead teams (4–8 engineers each) responsible for account onboarding, KYC/KYB, AML, and fraud detection decisioning and workflows, and operational tooling
Apply AI/ML—from traditional models to large language models—to unlock faster, real-time bank account application approvals. This work sits on the critical business path, directly driving efficiency and revenue growth
Partner with Product, Risk, and Data teams to design and deliver scalable systems that balance user experience with compliance rigor
Shape the next generation of our KYC and risk platforms—reliable, resilient, and easy to extend as regulations and business needs evolve
Create a strong culture of operational excellence, with measurable improvements to uptime, accuracy, and system quality
Build, mentor, and grow engineering talent
help managers and senior engineers level up technically and organizationally
Drive clarity amid complexity: translating between regulatory nuance and technical execution
Foster collaboration across teams to align on priorities, simplify interfaces, and make the whole system more maintainable and elegant

What we offer

base salary
equity
benefits

Fulltime

Senior Operations Engineer

We are currently seeking an Senior Operations Engineer to join our Data Manageme...

Location

Greece , Athens

Salary:

Not provided

Metlen Group

Expiration Date

Until further notice

Requirements

BSc or MSc in Computer Science or related technical field
+4 years of experience in Operations or IT roles (Data Engineering, ML Engineering, Software Engineering, or similar)
Experience in system monitoring, technical support, and incident handling
Hands-on experience with Cloud platforms
Practical exposure to MLOps and DevOps frameworks (Azure DevOps/MLOps, Docker, Kubernetes, AWS DevOps/MLOps)
Solid hands-on experience in SQL and Python
Experience managing enterprise-scale Data/ML workflows
Strong analytical and problem-solving abilities
Fluent in English, written and oral

Job Responsibility

Oversee and optimize DevOps and MLOps operations for model deployment, monitoring, and automation
Execute, maintain, and improve CI/CD pipelines for Data Engineering and ML deployments
Collaborate closely with Data Engineers to strengthen deployment processes and operational efficiency
Monitor, troubleshoot, and ensure smooth execution of daily Corporate Data Warehouse workflows
Handle technical support requests efficiently, ensuring SLA compliance
Maintain high system availability and reliability through proactive monitoring
Implement minor enhancements, bug fixes, and performance optimizations
Apply version control best practices and ensure proper deployment governance
Collaborate cross-functionally to streamline deployment processes across environments
Identify opportunities for automation, observability, and improved monitoring

What we offer

Competitive remuneration package
Ticket Restaurant Card
Group Health Insurance Plan
Preferential Protergia household energy plan
Pension Plan

Senior Support and Operations Engineer

Senior Support and Operations Engineer to join Data Management team, taking owne...

Location

Greece , Athens

Salary:

Not provided

Metlen Group

Expiration Date

Until further notice

Requirements

BSc or MSc in Computer Science or related technical field
+4 years of experience in Operations or IT roles (Data Engineering, ML Engineering, Software Engineering, or similar)
Experience in system monitoring, technical support, and incident handling
Hands-on experience with Cloud platforms
Practical exposure to MLOps and DevOps frameworks (Azure DevOps/MLOps, Docker, Kubernetes, AWS DevOps/MLOps)
Experience managing CI/CD pipelines, especially in Azure is considered a plus
Experience with GitHub is an advantage
Solid hands-on experience in SQL and Python
Experience managing enterprise-scale Data/ML workflows
Strong analytical and problem-solving abilities

Job Responsibility

Oversee and optimize DevOps and MLOps operations for model deployment, monitoring, and automation
Execute, maintain, and improve CI/CD pipelines for Data Engineering and ML deployments
Collaborate closely with Data Engineers to strengthen deployment processes and operational efficiency
Monitor, troubleshoot, and ensure smooth execution of daily Corporate Data Warehouse workflows
Handle technical support requests efficiently, ensuring SLA compliance
Maintain high system availability and reliability through proactive monitoring
Implement minor enhancements, bug fixes, and performance optimizations
Apply version control best practices and ensure proper deployment governance
Collaborate cross-functionally to streamline deployment processes across environments
Identify opportunities for automation, observability, and improved monitoring

What we offer

Competitive remuneration package
Ticket Restaurant Card
Group Health Insurance Plan
Preferential Protergia household energy plan
Pension Plan

Fulltime

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Senior AI QA Engineer

We are seeking a Senior AI QA Engineer with 6–8+ years of experience in software...

Location

India

Salary:

3000000.00 - 3600000.00 INR / Year

NorthBay

Expiration Date

Until further notice

Requirements

Software Quality Assurance
Test Planning and Test Strategy
Test Automation
Selenium
Pytest
Python
API Testing (REST)
CI/CD Integration
Data Pipeline Testing
AI/ML Pipeline Testing

Job Responsibility

Define and execute test planning, test strategy, and test cases for AI/ML and data-driven applications
Develop and maintain automated test frameworks using Selenium and Pytest
Perform API testing for RESTful services
Validate data pipelines, ETL workflows, and ML model outputs
Conduct end-to-end testing across AI/ML lifecycle including data ingestion, training, inference, and deployment
Integrate automated test suites into CI/CD pipelines
Perform regression, integration, system, and performance testing
Identify, document, and track defects to closure
Collaborate with Data Engineers, ML Engineers, and DevOps teams
Ensure adherence to QA standards, best practices, and compliance requirements

Fulltime

Senior Full Stack Engineer

The Senior Full Stack Engineer will support the modernization of IRS mission-cri...

Location

United States , McLean

Salary:

Not provided

BLN24

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
Minimum 6 years of experience in full-stack software development and architecture
Demonstrated expertise in designing and implementing RESTful and GraphQL APIs, and building service-oriented architectures
Proficiency with front-end frameworks such as React, Angular, or Vue, and backend technologies such as Node.js, Python, Java, or Spark
Solid working knowledge of core web technologies, including HTML, CSS, JavaScript, and modern UI component libraries
Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration tools including Kubernetes and OpenShift
Familiarity with platforms such as Databricks for data engineering, pipeline integration, or ML model support
Experience designing scalable, secure web applications and microservices architectures with considerations for caching, authentication, and maintainability
Working knowledge of SQL and NoSQL databases, CI/CD pipelines, infrastructure-as-code, and cloud monitoring tools
Experience collaborating in Agile delivery environments, and contributing to code reviews, documentation, and team-based development workflows

Job Responsibility

Design and develop scalable APIs using REST, GraphQL, and gRPC in compliance with IRS enterprise architecture and security standards (OAuth, JWT)
Lead full-stack development of modern, modular web applications that interface with IRS systems and external users
Decompose and migrate legacy system functionality (e.g., COBOL-based command codes) into modern service-oriented components
Integrate AI-driven services, including ML model endpoints, auto-generated documentation, code conversion workflows, and intelligent test automation
Implement CI/CD pipelines and automated testing tools (e.g., Postman, Newman) to ensure secure, validated, and maintainable code
Collaborate with DevOps and Site Reliability Engineers to embed observability tools (e.g., Prometheus, Datadog, New Relic) and monitoring dashboards
Translate business and functional requirements into API contracts and reusable service patterns, working within Agile Scrum teams
Maintain backward compatibility with legacy systems while building toward scalable, cloud-optimized services
Ensure IRS and Treasury IT governance compliance, including Section 508 accessibility and cybersecurity policies

What we offer

Generous medical, dental, and vision plans
Opportunity to work in different sectors
Flexibility to balance quality work and personal lives
Remote working opportunities

Fulltime

Senior Software Engineer – ML Model Compliance & Automation

InfoObjects

Location:
India , Jaipur

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 09, 2025

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