Senior Mlops Engineer Job at Randstad (Tokyo)

Senior MLOps Engineer

A fast-growing, VC-backed AI company is seeking a Senior MLOps Engineer to help ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

4+ years of experience in MLOps with hands-on ownership of production ML systems
Degree in Computer Science or a related field (Bachelor’s or Master’s)
Strong expertise in Python and ML libraries (TensorFlow, PyTorch, or similar)
Experience with ML lifecycle management tools
Practical experience deploying and monitoring deep learning models
Proficiency with cloud platforms (AWS, Azure, or GCP)

Job Responsibility

Design, build, and maintain infrastructure for deploying, monitoring, and updating ML models in production
Automate end-to-end pipelines covering ingestion, preprocessing, training, validation, and deployment
Implement monitoring for model performance, drift, latency, and accuracy
Ensure ML systems are secure, scalable, and cost-efficient
Partner with ML engineers, data scientists, and product teams to move models seamlessly from research to production
Apply software engineering best practices—including CI/CD, testing, and version control—to ML workflows
Continuously improve documentation, tooling, and infrastructure

What we offer

great equity and the chance to join a rocketship

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 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 Sales Engineer

The Senior Sales Engineer role at Infinite Lambda is designed for a technical le...

Location

Salary:

Not provided

Infinite Lambda

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, Computer Science, or a related field is required
an advanced degree is preferred
A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience
experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential
Stream processing and batch data warehouse processing, event-driven architecture, micro-services, DataOps and MLOps practices
Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role
Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders
Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion
Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships.

Job Responsibility

Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle
Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively
Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap
Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions
Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends
Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning

What we offer

private health insurance
work-from-home budget
unlimited paid holiday
wellness benefits
dedicated learning and development time
access to top-notch learning portals
coaching opportunities.

Senior Sales Engineer

The Senior Sales Engineer role at Infinite Lambda is designed for a technical le...

Location

United States

Salary:

Not provided

Infinite Lambda

Expiration Date

Until further notice

Requirements

A Bachelor’s degree in Engineering, Computer Science, or a related field is required
an advanced degree is preferred
A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience
experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential
Stream processing and batch data warehouse processing, event-driven architecture, microservices, DataOps and MLOps practices
Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role
Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders
Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion
Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships.

Job Responsibility

Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle
Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively
Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap
Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions
Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends
Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning

What we offer

private health insurance
work-from-home budget
unlimited paid holiday
wellness benefits
dedicated learning and development time
access to top-notch learning portals
coaching opportunities

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 Engineering Manager, Computer Vision

Hover helps people design, improve, and protect the properties they love. With p...

Location

United States , San Francisco/New York

Salary:

247000.00 - 305000.00 USD / Year

HOVER

Expiration Date

Until further notice

Requirements

2+ years of managing high impact CV/ML teams (or tech lead / staff+ leadership) with a track record of building high-performing teams
5+ years of hands-on experience in computer vision or ML (ideally 3D reconstruction, multi-view geometry, or ML-based reconstruction)
Proven track record partnering with product teams to scope features, run experiments, and iterate based on customer feedback and data
Familiarity with modern MLOps stacks (cloud GPUs, CI/CD, monitoring) and a passion for measurable reliability and cost control
Ability to articulate complex trade-offs to executives, engineers, and customers alike
Bachelor’s, Master’s, or PhD in CS, ML, or related field

Job Responsibility

Leading the Team: Build and nurture a high-performing, diverse team of senior ICs and emerging leaders. From hiring and onboarding to coaching and career-pathing, you’ll make talent development your first priority
Owning a Scaling Product Line: Take end-to-end ownership of a critical computer vision product area, ensuring our research breakthroughs translate into production systems that delight customers at scale
Shaping the Roadmap: Partner with Product and Design to translate market opportunities and research advances into a sequenced plan. You’ll balance innovation with operational excellence, driving projects from data strategy and experimentation through to reliable production deployment
Driving Technical Excellence: Set engineering standards for accuracy, latency, cost control, and reliability. Model strong cross-functional collaboration and ensure your team’s work integrates smoothly into Hover’s larger platform
Communicating Impact: Clearly articulate progress, trade-offs, and technical choices to executives, stakeholders, and the broader team
earning trust at every level

What we offer

Compensation - Competitive salary and meaningful equity in a fast-growing company
Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
Paid Time Off - Unlimited and flexible vacation policy
Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave
Mandatory Self-Care Days - A day set aside each month to allow employees to recharge
Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Fulltime

Senior ML Platform Engineer

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP e...

Location

United States , Boston

Salary:

150000.00 - 210000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field
or equivalent practical experience
5+ years of experience in software engineering with a focus on ML infrastructure, cloud platforms, or MLOps
Strong programming skills in Python, with experience in building distributed systems and REST/gRPC APIs
Deep knowledge of cloud-native services and infrastructure-as-code (e.g., AWS CDK, Terraform, CloudFormation)
Hands-on experience with model deployment platforms such as AWS SageMaker, Vertex AI, or Kubernetes-based serving stacks
Proficiency in ML lifecycle tools (MLflow, Weights & Biases, BentoML) and containerization strategies (Docker, Kubernetes)
Understanding of data engineering and ingestion pipelines, with ability to interface with data lakes, feature stores, and streaming systems
Proven ability to work cross-functionally with Data Science, Data Platform, and Software Engineering teams, influencing decisions and driving alignment
Passion for AI and automation to solve real-world problems and improve operational workflows

Job Responsibility

Architect, build, own, and operate scalable ML infrastructure in cloud environments (e.g., AWS), optimizing for speed, observability, cost, and reproducibility
Create, support, and maintain core MLOps infrastructure (e.g., MLflow, feature store, experiment tracking, model registry), ensuring reliability, scalability, and long-term sustainability
Develop, evolve, and operate MLOps platforms and frameworks that standardize model deployment, versioning, drift detection, and lifecycle management at scale
Implement and continuously maintain end-to-end CI/CD pipelines for ML models using orchestration tools (e.g., Prefect, Airflow, Argo Workflows), ensuring robust testing, reproducibility, and traceability
Partner closely with Data Science, Sensor Intelligence, and Data Platform teams to operationalize and support model development, deployment, and monitoring workflows
Build, manage, and maintain both real-time and batch inference infrastructure, supporting diverse use cases from physiological analytics to personalized feedback loops for WHOOP members
Design, implement, and own automated observability tooling (e.g., for model latency, data drift, accuracy degradation), integrating metrics, logging, and alerting with existing platforms
Leverage AI-powered tools and automation to reduce operational overhead, enhance developer productivity, and accelerate model release cycles
Contribute to and maintain internal platform documentation, SDKs, and training materials, enabling self-service capabilities for model deployment and experimentation
Continuously evaluate and integrate emerging technologies and deployment strategies, influencing WHOOP’s roadmap for AI-driven platform efficiency, reliability, and scale

What we offer

equity
benefits

Fulltime

Senior Mlops Engineer

Randstad

Location:
Japan , Tokyo

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Additional Information:

Job Posted:
May 09, 2025

Expiration:
March 24, 2026

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Senior Mlops Engineer

Randstad

Location:Japan , Tokyo

Category:IT - Software Development

Contract Type:Not provided

Salary:

Requirements:

Additional Information:

Job Posted:May 09, 2025

Expiration:March 24, 2026

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Job Posted:
May 09, 2025

Expiration:
March 24, 2026