Machine Learning Engineer II

United States Digital Space LLC; Lisboa; Híbrido; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Comprehensive benefits

Flexible work arrangements

Company equity

ESPP

Retirement plan

Generous vacation & holidays

Wellness days

Parental leave

Resumo da oferta

the company is a leading provider in Digital Operations Management and is expanding its AI/ML powered products. We are hiring a Machine Learning Engineer to collaborate with data scientists, product managers and engineers to accelerate development of services and pipelines powering ML and genAI features.

You will work with senior stakeholders across multiple organizations, manage time effectively and continuously improve technical skills while contributing to production ML workflows and

Qualificações

• 3+ years of experience building, designing, and shipping ML solutions to production.
• Strong Python development experience.
• Data modeling, ETL, unstructured data handling, and cloud-based data infrastructure tools.

Responsabilidades

• Build and improve capabilities enabling production ML and genAI solutions.
• Collaborate with data scientists and engineers to support larger initiatives.
• Incorporate best practices to ship ML capabilities to production and reduce technical debt.

Descrição da oferta de emprego

the company (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust the company to help them deliver a perfect digital experience to their customers, every time. Teams use the company to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on the company to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization.

the company is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands‑on to the development of the services and pipelines that enable multiple ML/AI features in our product.

You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set.

Key Responsibilities

• Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions

• Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives

• Incorporate the best available techniques and practices to how we ship machine learning capabilities to production

• Commit to continuously optimizing our workflows and reducing technical debt

Basic Qualifications

• 3+ years of experience building, designing, and shipping machine learning solutions to production

• Proven software development track record with Python

• Demonstrated experience with data modeling, database design, extract transform load (ETL) processes, working with unstructured data, and cloud-based data infrastructure tools

• Ability to stand up infrastructure building blocks to enable ML processes like data exploration, model training and deployment)

Preferred Qualifications

• Experience working with Product teams, ensuring and driving a timely delivery

• Exposure to large language models / Generative AI and understanding of the capabilities and use‑cases for that technology

• Ability to develop and ship machine learning services using container orchestration systems such as kubernetes

Where we work

the company operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in:

**Location restrictions:Australia:** Northern Territory, Queensland, South Australia, Tasmania, Western AustraliaCanada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, YukonUnited States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming*Candidates must reside in an eligible location, which vary by role.*

How we work

Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.

People Leaders at the company are responsible for creating high performance environments that drive accountability. the company has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.

What we offer

As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.

Your package may include:

• Competitive salary

• Comprehensive benefits package

• Flexible work arrangements

• Company equity*

• ESPP (Employee Stock Purchase Program)*

• Retirement or pension plan*

• Generous paid vacation time

• Paid holidays and sick leave

• Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO

• Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*

• Paid volunteer time off: 20 hours per year

• Company-wide hack weeks

• Mental wellness programs

*Eligibility may vary by role, region, and tenure

About the company

the company, Inc. (NYSE:PD) is a global leader in digital operations management. The the company Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, the company empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, the company is essential for delivering always-on digital experiences to modern businesses

the company is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2.

Go behind-the-scenes on our careers site and @the company on Instagram.

Additional Information

the company is an equal opportunity employer. the company does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us.