Middle MLOps Engineer Job at Vention (Krakow)

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 , 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

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

Pharmacy Technician

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

Location

United States , Collegeville

Salary:

16.50 - 25.00 USD / Hour

CVS Health

Expiration Date

August 24, 2026

Requirements

Must comply with any state board of pharmacy requirements or laws governing the practice of pharmacy, which includes but is not limited to, age, education, and licensure/certification
If the state board of pharmacy does not address or mandate a minimum age requirement, must be at least 16 years of age
If the state board of pharmacy does not address or mandate a minimum educational requirement, must have a high school diploma or equivalent, or be actively enrolled in high school or high school equivalency program
State-level licensure and national certification requirements vary by state

Job Responsibility

Living our purpose by following all company SOPs at each workstation to help our Pharmacists manage and improve patient health
Following pharmacy workflow procedures at each pharmacy workstation (i.e., production, pick-up, drive-thru, and drop-off) for safe and accurate prescription fulfillment
Contributing to positive patient experiences by showing empathy and genuine care: creating heartfelt and personalized moments while serving patients at pick-up, drive-thru, and over the phone
keeping patients healthy by offering immunizations and other services at the register and over the phone
and demonstrating compassionate care by solving or escalating patient problems
Completing basic inventory activities, as permitted by law, and as directed by the pharmacy leadership team, such as accurately putting away medication deliveries and completing cycle counts, returns-to-stocks, waiting bin inventories, etc.
Contributing to a high-performing team, embracing a growth mindset, and being receptive to feedback
actively seeking opportunities to expand clinical and technical knowledge needed to better assist patients
Remaining flexible for both scheduling and business needs, while contributing to a safe, inclusive, and engaging team dynamic
voluntarily traveling to stores in the market to work shifts as needed by the business

What we offer

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs

Fulltime

New

Server Assistant - Chandelier Bar

Four Seasons Hotel and Residences New Orleans is seeking candidates to join our ...

Location

United States , New Orleans

Salary:

Not provided

Four Seasons

Expiration Date

Until further notice

Requirements

Knowledge of MICROS preferred
Previous Food & Beverage experience preferred
General knowledge of food and drink menu
RSV permit and ServSafe certifications required
Work authorization in the United States

Job Responsibility

Stock linen, china, silver and glassware for service ensuring that all are polished and in good condition
Greet guests in a professional manner, serve beverage and food items while explaining the contents, and anticipate and service the guest's needs before requests are necessary
Prepare condiment and garnish items
Assist with guest service including retrieving food from the kitchen using a tray and safely transporting it to guest, as well as removal of items from the guest's table
Complete the breakdown, clean and set-up of tables, buffets, and food stations

What we offer

Rewarding Work Culture, with mentoring, training and development opportunities
Comprehensive Benefits package including a world class Medical, Dental, and Vision insurance program
401k participation with a company matching program after 30 days of employment
Discounted Accommodations at Four Seasons Worldwide
Comprehensive Time off Package including Vacation pay, Sick pay and 9 paid Holidays, including Mardi Gras
Complimentary employee meals prepared by the Four Seasons Culinary Team
Complimentary uniforms that are laundered by our housekeeping department
Discounted parking near hotel

Parttime

New

Media Audience Specialist

The Media Audience Specialist plays a key role on GM’s MediaOne team, helping ad...

Location

United States , Detroit

Salary:

80000.00 - 109000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years of experience in media planning & buying
agency and/or advertiser experience preferred
Experience with programmatic media, audience management, media technology, and/or ad operations preferred
Ability to build strong relationships & partnerships
Ability to track and manage complex initiatives requiring the input of multiple stakeholders
Ability to listen to and understand the needs of internal/external stakeholders and develop thoughtful solutions
Drive & curiosity to remain current in the media space through ongoing education and skill development
Strong presentation skills, including written and oral communications
Ability to analyze and solve complex problems
Excellent time management skills

Job Responsibility

Lead end-to-end audience strategy projects across insights, activation, measurement, and optimization, from initial opportunity identification through implementation and adoption
Build and manage project plans, workflows, timelines, and key milestones to ensure initiatives are delivered effectively and on schedule
Help shape and evolve a strategic audience enterprise approach, including frameworks, processes, governance, and best practices
Partner with internal Marketing Science, Marketing Technology, and Media teams to align priorities, connect workstreams, and ensure audience capabilities are grounded in business needs and measurable outcomes
Support initiatives that enhance cross-tier and global ways of working, improving coordination, consistency, and operational efficiency
Identify gaps and opportunities in current tools, technologies, and workflows, and help design and operationalize improvements
Partner with external vendors, agency, and industry groups to stay current on emerging capabilities, market trends, and opportunities
Help manage media data and technology relationships, including supporting contracts and budgets
Assist broader MediaOne priorities and related initiatives, including cross-tier planning, media plans, measurement innovation, responsible media practices, and other enterprise capability-building efforts

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

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Middle MLOps Engineer

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