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

Senior MLOps Engineer

We're looking for an MLOps Engineer to help ensure our machine learning models r...

Location

Denmark , København

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Experience deploying machine learning models into production and managing their lifecycle
Experience implementing model governance, including versioning, monitoring, drift detection, and reporting
Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC
Solid understanding of CI/CD systems (e.g., GitHub Actions, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm)
Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing
Experience mentoring or supporting colleagues to help them grow their technical skills
Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role
Strong proficiency in Python
Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes)
Ability to design scalable, secure, and observable systems in fast-moving environments

Job Responsibility

Own and manage the full lifecycle of both ML models and core infrastructure – from development and deployment to monitoring and continuous improvement
Build and maintain robust CI/CD pipelines for both software and ML workflows
Ensure reliability, scalability, observability, and security of production systems and ML infrastructure
Automate deployment, orchestration, and environment management using modern DevOps tooling
Collaborate closely with software engineers, ML engineers, and product teams to bring ML-powered features to production
Proactively detect, troubleshoot, and resolve infrastructure and model performance issues
Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering
Document infrastructure, workflows, and operational procedures clearly and thoroughly

What we offer

Equipment provided by Corti

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 Data Engineer

Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microso...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years’ experience in business analytics, data science, data modeling, or data engineering work
OR master’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field and 3+ years’ experience in business analytics, data science, data modeling, or data engineering work
Ability to meet Microsoft, customer and/or government security screening requirements
8+ years of experience in data engineering with coding and debugging skills in C#, Python, and/or SQL
Deploying solutions in Azure Services & Managing Azure Subscriptions
Understanding and knowledge about big data and writing queries with Kusto/KQL
Understanding and knowledge about extracting data via REST APIs
Strong analytical skills with a systematic and structured approach to software design
5+ years of experience in data science, analytics, or machine learning
4+ years of experience in developing solutions with Microsoft Power Platform, including Power BI, Fabric, Power Automate & M365 Dataverse

Job Responsibility

Apply modification techniques to transform raw data into compatible formats for downstream systems
Utilize software and computing tools to ensure data quality and completeness
Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability
Writes efficient, readable, extensible code from scratch that spans multiple features/solutions
Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects
Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development
Acquires data necessary for successful completion of the project plan
Proactively detects changes and communicates to senior leaders
Develops usable data sets for modeling purposes
Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices

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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