Middle MLOps Engineer Job at Vention (Gdansk)

Middle MLOps Engineer

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at ...

Location

Poland , Wroclaw

Salary:

8000.00 PLN / Month

Vention

Expiration Date

Until further notice

Requirements

Experience in cloud platform engineering, DevOps, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
Experience building ML infrastructure and familiarity with machine learning concepts
Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
Proficiency in Python programming and familiarity with LLM/MLOps best practices
Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
A passion for collaboration, problem-solving, and fostering a culture of continuous improvement

Job Responsibility

Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Private medical care with LuxMed
Kafeteria MyBenefit credits for stores, restaurants, and cafés
Access to a Multisport membership to stay active
Glasses reimbursement program
Referral bonuses for bringing in new talent

Fulltime

Middle MLOps Engineer

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at ...

Location

Poland , Lodz

Salary:

8000.00 PLN / Month

Vention

Expiration Date

Until further notice

Requirements

Experience in cloud platform engineering, DevOps, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
Experience building ML infrastructure and familiarity with machine learning concepts
Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
Proficiency in Python programming and familiarity with LLM/MLOps best practices
Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
A passion for collaboration, problem-solving, and fostering a culture of continuous improvement

Job Responsibility

Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Private medical care with LuxMed
Kafeteria MyBenefit credits for stores, restaurants, and cafés
Access to a Multisport membership to stay active
Glasses reimbursement program
Referral bonuses for bringing in new talent

Fulltime

Middle MLOps Engineer

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at ...

Location

Poland , Warsaw

Salary:

8000.00 PLN / Month

Vention

Expiration Date

Until further notice

Requirements

Experience in cloud platform engineering, DevOps, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
Experience building ML infrastructure and familiarity with machine learning concepts
Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
Proficiency in Python programming and familiarity with LLM/MLOps best practices
Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
A passion for collaboration, problem-solving, and fostering a culture of continuous improvement

Job Responsibility

Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Private medical care with LuxMed
Kafeteria MyBenefit credits for stores, restaurants, and cafés
Access to a Multisport membership to stay active
Glasses reimbursement program
Referral bonuses for bringing in new talent

Fulltime

Middle MLOps Engineer

Vention is a global engineering partner to tech leaders and fast-growing startup...

Location

Poland , Krakow

Salary:

8000.00 PLN / Month

Vention

Expiration Date

Until further notice

Requirements

Experience in cloud platform engineering, DevOps, MLOps, or a similar field
Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
Experience building ML infrastructure and familiarity with machine learning concepts
Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
Proficiency in Python programming and familiarity with LLM/MLOps best practices
Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
A passion for collaboration, problem-solving, and fostering a culture of continuous improvement

Job Responsibility

Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Private medical care with LuxMed
Kafeteria MyBenefit credits for stores, restaurants, and cafés
Access to a Multisport membership to stay active
Glasses reimbursement program
Referral bonuses for bringing in new talent

Fulltime

Strong Middle Data Scientist

Are you ready to take part in the upcoming AI revolution of the business world? ...

Location

Colombia

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

strong Python/SQL skills
MLOps knowledge (Airflow, MLflow, unit testing)
solid ML fundamentals
Define and own AI domain roadmaps
Leadership skills

Job Responsibility

Build and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features) for business use cases
Contribute to app features with guidance from mid/senior teammates
improve models, pipelines, and deliverables
Present results and findings to your team
identify gaps and learn to explain the product and the AI behind it
Deliver assigned tasks autonomously and on time with clear ownership
Have strong Python/SQL skills, basic MLOps knowledge (Airflow, MLflow, unit testing), and solid ML fundamentals
Own features of the app
constantly improve models, pipelines, and monitoring to ensure robust production performance
Communicate and align with internal stakeholders

New

Outside Of Hours School Care Educator

We are looking for educators to join our team of casual educators to work in aft...

Location

Australia , Gold Coast

Salary:

Not provided

Randstad

Expiration Date

July 23, 2026

Requirements

Any ACECQA approved qualifications welcomed
Experience with children is needed
Tutoring
Babysitting
Mentorship
Volunteer Programs
Teaching

Job Responsibility

Work in after school care programs
Take part in the continuing development of children

What we offer

You choose where and when you work
Flexible work locations
Access to Randstad Employee benefits through Paytime
training and education
Access to great benefits

Parttime

New

Learning Support Assistant

We are seeking empathetic, energetic, and resilient SEN Teaching Assistants to j...

Location

United Kingdom , Haywards Heath

Salary:

92.56 - 95.00 GBP / Day

Randstad

Expiration Date

September 12, 2026

Requirements

ability to track progression in attainment
background in youth work
behaviour management
building relationships
classroom management
communication
de-escalation techniques
empathy
experience in administering medication
experience in managing challenging behaviour

Job Responsibility

supporting unique children and young adults (aged 4-25) who require specialised, attentive care
assist with daily classroom activities
implement creative learning ideas
help students develop crucial life and social skills in both indoor and outdoor learning environments

What we offer

training and education
Safeguarding & Prevent
referral bonus
full training provided
work-life balance (reliable, consistent daytime hours during term time)
welcoming team

New

District Support Pharmacist

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Glendale

Salary:

65.00 - 81.00 USD / Hour

CVS Health

Expiration Date

August 24, 2026

Requirements

Active Pharmacist License in the state where the Store is located
Active National Provider Identifier (NPI)
Not on the DEA Excluded Parties list
Ability to travel within a reasonable radius to support market staffing as business needs require
Regular and predictable attendance, including nights and weekends
Ability to complete required training within designated timeframe
Attention and Focus: Ability to concentrate on a task over a period of time
Ability to pivot quickly from one task to another to meet patient and business needs
Ability to confirm prescription information and label accuracy, ensuring patient safety
Customer Service and Team Orientation: Actively look for ways to help people, and do so in a friendly manner

Job Responsibility

Living our purpose by helping to manage and improve patient health through safe and appropriate dispensing, counseling, and immunizing practices
Traveling the district to fill pharmacist shifts as scheduled by the District Performance Coordinator (DPC)
overseeing the pharmacy and serving as the Pharmacy Manager's proxy during bench shifts without overlap
Supporting safe and accurate prescription fulfillment by following—and directing the pharmacy team to follow—pharmacy workflow procedures and utilizing the safety guardrails at every workstation
Assumes Pharmacy Manager's day-to-day duties when serving as the only or the primary pharmacist-on-duty
Contributing to positive patient experiences by showing empathy and genuine care and coaching the pharmacy team to do the same: demonstrating compassionate care, collaborating with the patient's total healthcare team, and proactively resolving insurance and/or medication issues
Proactively offering and delivering immunizations to keep patients healthy
engaging and supporting Pharmacy Technicians to learn to immunize
Supporting the effective management of pharmacy inventory in all pharmacies worked by following—and guiding the pharmacy team to follow—all inventory best practices, with a special focus on protecting cold chain products for our patients and our business
Remaining flexible for both scheduling and business needs, while contributing to a safe, inclusive, and engaging team dynamic

What we offer

dental
vision
wellness resources
employee discounts
access to certain voluntary benefits
other programs

Parttime

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Middle MLOps Engineer

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