Middle MLOps Engineer Job at Vention (Wroclaw)

Middle MLOps Engineer

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

Location

Poland , Gdansk

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

Assistant General Manager

As an Assistant General Manager at The Botanist, you will balance your time betw...

Location

United Kingdom , Cardiff

Salary:

40000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Appraisals
1:1 meetings
HR issues
recruitment
Leading Duty Managers
Tracking performance

Job Responsibility

Managing the Restaurant and Bar Managers
Working closely with the Senior Kitchen team
Taking on responsibility of appraisals, 1:1 meetings, HR issues and recruitment
Being the go-to person for the whole team
Executing the overall strategy and vision
Leading the Duty Managers
Tracking performance of Duty Managers

What we offer

AGM Bonus Scheme (market leading)
50% discount for you and up to 5 guests when dining at any of our restaurants
Free meals on shift
Your birthday (and the day after) are guaranteed off
Education subsidies
Access to the TRONC pot via TiPJAR
Wagestream
Discounts on market leading brands
Withdraw up to 50% of live earnings
Hospitality Action support

Fulltime

New

Activities Co-Ordinator

As an Activities Coordinator you will be required to create ideas, organise soci...

Location

United Kingdom , Southport

Salary:

13.45 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Previous experience within a similar setting, ideally with groups of people who have a variety of needs and tastes
Calm, dependable, and compassionate
Comfortable working independently
Genuinely motivated to make a difference

Job Responsibility

Create ideas, organise social and recreational events, both in and outside of the home
Consult with residents to identify their social and recreational interests, generate enthusiasm and support the delivery of these activities
Plan and implement a wide range of activities to support the physical and mental wellbeing of residents

What we offer

Real Living Wage
2 weekly pay
28 days annual leave (pro rata)
Paid DBS
Free parking
Full induction before your first shift
Ongoing training and development
Career progression through Dovehaven Training Academy
Uniform provided

Fulltime

New

In Room Dining Coordinator

The Four Seasons Resort Lāna’i is looking for an In Room Dining Coordinator who ...

Location

United States , Lana'i city

Salary:

24.59 USD / Hour

Four Seasons

Expiration Date

Until further notice

Requirements

Successful candidate must possess legal work authorization in United States
The hospitality business functions seven (7) days a week, twenty-four (24) hours a day and scheduled days and times may vary based on need. Holidays and weekends availability is required
Required by the Hawaii State Department of Health to obtain a Tuberculous (TB) clearance card and Hawaii Food Handler’s Card
Maui Liquor Card Preferred, but not required
Ability to stand for extended periods, lift up to 30 lbs, and push/pull as needed during shifts
Demonstrates strong customer‑service focus with keen attention to detail, professionalism, and composure in a fast‑paced, high‑volume environment
maintains an organized workspace and collaborates effectively within a team
Possesses excellent communication and telephone etiquette, solid menu and ingredient knowledge, and the ability to multitask and prioritize orders
proficient in basic computer systems and POS platforms, with the ability to communicate accurately and professionally by phone

Job Responsibility

The In Room Dining Coordinator manages guest in‑room dining orders via phone, iPad, and messaging platforms, ensuring accurate communication of special requests to the kitchen
coordinates timely delivery of all orders in accordance with Four Seasons standards
prepares, organizes, and follows through on all guest amenities to ensure a seamless and elevated guest experience
Anticipate guest needs, ascertain satisfaction, and offer suggestions, and respond urgently and appropriately to guest concerns and requests
Utilize hotel computer systems and point‑of‑sale platforms to accurately enter and communicate guest in‑room dining orders, including all special requests, dietary restrictions, and allergy information, to the culinary team
Review completed kitchen orders against the original guest request to ensure accuracy, presentation, and quality prior to delivery
Coordinate timely and seamless delivery of in‑room dining orders by Room Service Servers to maintain optimal food quality and an elevated guest experience
Properly and accurately close guest checks, record charges and gratuities, and ensure all transactions are completed in accordance with Four Seasons standards
Meticulously document and manage guest preferences, special instructions, dietary needs, and daily amenity deliveries, maintaining accurate and organized records at all times
Answer incoming calls using warm, professional, and efficient telephone etiquette while gathering all necessary information to process guest orders

What we offer

Hourly Rate: $24.59
100% Employer contributed Medical, Dental, and Vision benefits
Competitive wages and other benefits (Retirement Plan, Wellness Credit, etc) as well as Paid Time Off & Holiday Pay
Inclusive and diverse employee engagement & recognition events all year-round
Complimentary stays and exclusive discounts at Four Seasons Worldwide
Complimentary Employee Meals & Dry Cleaning for Employee Uniforms
Owner subsidized on-island housing, inter-island airfare to Oahu and other resources
Comprehensive learning and development programs to help you master your craft
Energizing Employee Culture where you are encouraged to be your true self!

Fulltime

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Middle MLOps Engineer

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