Senior Applied ML Engineer Job at Randstad (Budapest)

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 Software Engineer – ML Model Compliance & Automation

We are seeking a highly skilled and motivated Senior Software Engineer to lead t...

Location

India , Jaipur

Salary:

Not provided

InfoObjects

Expiration Date

Until further notice

Requirements

Experience Required: 3 - 7 yrs
GoLang (preferred)
Python (preferred)
Bash
MLOps Tools: KitOps, MLModelCI, MLflow, ONNX, TensorFlow, PyTorch, Docker
SBOM & Security: Syft, Grype, Trivy, CycloneDX, SPDX
CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD
Infra: Kubernetes, Docker, Helm, Terraform
Cloud: AWS, GCP, Azure (EKS/GKE/ECS preferred)
Version Control: Git, GitOps

Job Responsibility

Model Packaging & Artifact Management: Design and implement workflows for packaging ML models using KitOps, ONNX, MLflow, or TensorFlow SavedModel
Manage model artifact versioning, registries, and reproducibility
Ensure artifact integrity, consistency, and traceability across CI/CD pipelines
Model Profiling & Optimization: Automate model profiling (latency, size, ops) using MLModelCI, TorchServe, or ONNX Runtime
Apply quantization, pruning, and format conversions (e.g., FP32→INT8) for optimization
Embed profiling and optimization checks into CI/CD pipelines to assess deployment readiness
Compliance & SBOM Generation: Develop pipelines to generate and validate SBOMs for ML models
Implement compliance checks for licensing, vulnerabilities, and security using CycloneDX, SPDX, Syft, or Trivy
Validate schema, dependencies, and runtime environments for production readiness
Cloud Integration & Deployment: Automate model registration, endpoint creation, and monitoring setup in AWS/GCP/Azure

Fulltime

Senior Applied Machine Learning Engineer

Machine learning is integral to every financial service we provide. As we embark...

Location

United States , Mountain View

Salary:

232200.00 - 283800.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
4+ years of machine learning experience with strong software engineering skills
Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models)
Advanced Python programming, SQL, and data manipulation skills
Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI)
Excellent communication and collaboration abilities
A passion for continuous learning and personal growth in a dynamic work environment

Job Responsibility

Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions
Enhance models by incorporating innovative features every quarter and leveraging the latest industry research
Monitor feature and model health, and communicate changes in model decisions
Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
Lead by example to foster operational excellence and transformative change
Expand responsibilities as new products emerge

What we offer

equity and benefits

Fulltime

AI/ML Engineer - Senior Analyst

The AI/ML Engineer - Senior Analyst is a critical role with the objective of exp...

Location

Canada , Mississauga

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4+ years’ experience in AI/ML model development and deployment projects
Demonstrable experience with Google Cloud Platform (GCP), IBM Watson Services, or any well-known cloud solution
Extensive experience in machine learning use case design, testing and deployment
Strong statistical foundation, with in-depth knowledge of supervised, unsupervised, and semi-supervised machine learning models, with a particular focus on NLP/NLU
Demonstrable experience in working with Generative AI models, with a deep understanding of their capabilities, prompting strategies, model performance, and inherent limitations
Extensive experience testing and using APIs
Possess an innovative, forward-looking, and imaginative mindset to continually reach for new horizons in Audit Innovation
Demonstrable experience working with stakeholders and exceeding their expectations
Take responsibility and accountability for execution and delivery
Positive attitude and a change-driven and change-oriented outlook

Job Responsibility

Design, test, deploy, and maintain AI/ML use cases, and integrate with the relevant audit applications
Prompt engineering to elicit the desired outputs from generative AI models, ensuring clarity, accuracy, effectiveness, and contextual relevance
Perform analytics on AI/ML capability usage to understand trends, patterns, and pain points, and implement a sustainable feedback loop to ensure positive and continually improving user experiences
Explain results in a methodical, appealing, and easy to interpret manner
Collaborate with teams on updates, enhancements, sprint releases, and other procedural requirements
Prepare, manage, and maintain Model Risk Management (MRM) documentation on model performance and accuracy, and engage with the MRM team on adhering to and fulfilling model requirements
Apply strong project management skills to develop project plans, timelines, milestones, and demonstrate progress toward objectives
Utilize excellent communication skills to ideate, educate, and present internally, often at senior levels (across functions)
expected to communicate with external parties

Fulltime

Senior AI/ML Engineer

Barbaricum is seeking a highly experienced Senior AI/ML Engineer to support Soft...

Location

United States , Crane

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD Secret Clearance (Top Secret preferred)
Bachelor’s degree in Computer Science, Engineering, or related technical discipline (Master’s preferred)
10+ years of progressive experience in AI/ML engineering, software development, or applied data science
Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments
Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow)
Strong background in software and cyber engineering principles, including system hardening, secure coding, and vulnerability mitigation
Proven ability to lead complex technical efforts, mentor junior engineers, and interface with government stakeholders
DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained

Job Responsibility

Partner with project managers and engineering teams to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions
Develop and prototype AI/ML systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications
Conduct rigorous testing and evaluation of AI/ML performance against operational datasets
Analyze test data to identify model strengths, weaknesses, and mission relevance
Refine and optimize systems to ensure robustness, scalability, and cyber resilience
Troubleshoot complex system challenges and provide technical guidance for deployed solutions
Deliver comprehensive documentation and technical reports to stakeholders
Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems

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 Software Engineer II - AI/ML

As a Senior Software Engineer II at Aledade, we maintain, improve, and expand ou...

Location

United States

Salary:

Not provided

Aledade, Inc.

Expiration Date

Until further notice

Requirements

BS/BTech (or higher) in Computer Science, Engineering or a related field
6+ years experience as an engineer building full-stack web applications as part of a cross-functional team
3+ years of experience working with SQL or other database querying language on large multi-table data sets
3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
3+ years of experience coaching other engineers

Job Responsibility

Develop and implement scalable and performant solutions
Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes
Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work
Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures
Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation
Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable
Design and implement prompt engineering strategies to effectively guide generative AI models
Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization
Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications
Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI

Fulltime

Data Engineer Senior

We are looking for a highly skilled professional to lead the industrialisation o...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum of 5 years’ experience in MLOps, data engineering, or DevOps with a focus on ML/DL/LLM/AI agents in production environments
Strong proficiency in Python
Hands-on experience with CI/CD tools such as GitLab, Docker, Kubernetes, Jenkins
Solid understanding of ML, DL, and LLM models
Experience with ML lifecycle tools such as MLflow or DVC
Good understanding of model lifecycle, data traceability, and governance frameworks
Experience with on-premise and hybrid infrastructures
Excellent communication skills and ability to collaborate with remote teams
Proactive mindset, technical rigour, and engineering mentality
Willingness to learn, document, and standardise best practices

Job Responsibility

Analyse, monitor, and optimise ML models, tracking their performance
Design and implement CI/CD pipelines for ML models and data flows
Containerise and deploy models via APIs, batch processes, and streaming
Manage model versioning and traceability
Ensure continuous improvement and adaptation of AI use cases and ML models
Set up monitoring and alerting for model performance
Establish incident response protocols in collaboration with IT
Maintain dashboards and automated reports on model health
Implement validation frameworks for data and models (e.g., Great Expectations, unit tests, stress tests), in collaboration with Group Governance
Contribute to documentation and apply technical best practices

What we offer

Work in a constantly evolving environment
Contribute to digital impact
Opportunity for growth and development

Fulltime

Senior Applied ML Engineer

Randstad

Location:
Hungary , Budapest

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 26, 2026

Expiration:
May 31, 2026

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