Lead Machine Learning Engineer

Location

Porto Alegre, RS | Brazil

Job description

ADP DataCloud is hiring a Lead Machine Learning / AI Engineer

• Does having access to one of the world’s most comprehensive data sets excite you?
• Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day?
• Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging?

Well, this may be the role for you. Ready to design what’s next?

In this role, you will work with teams to apply machine learning to digitally transform our business processes and the client experience of ADP’s products and solutions. You will assist our innovative software engineers in solving real-world business challenges using advanced machine learning techniques so our clients can run smoother with greater insights. You’ll be accountable for something significant: products that impact people’s lives.

No two days are the same. Everyday projects range from deep learning, research & development, algorithm development, natural language processing to DevOps. We want to provide access to the right tools and inspiration so you can solve complex problems creatively.

To thrive in this career as a Lead Machine Learning Engineer for the Artificial Intelligence and Machine Learning team, you will apply your knowledge of Python and other object-oriented programming languages to ADP projects. You should have experience using deep learning, natural language processing, or machine learning systems. You’ll mentor junior-level engineers that join the team and help them find their niche. Our best engineers in this role are independent thinkers and proactive problem solvers, and as a Lead team member, you will be a role model for these behaviors. Pace should not scare you. We still find time for a healthy dose of fun, and our efforts have led to some of the latest innovations at ADP.

Like what you see? Apply now!

Learn more about ADP at tech.adp.com/careers

WHAT YOU’LL DO:

Here’s what you can expect on a typical day:

• Teamwork and mentorship. You will be part of a thriving team, where you give junior team members the space to balance the ability to think independently and creatively while also working together as a team. You’ll provide mentorship to them get familiar with the team, environment, and resources. Once they are comfortable and confident, you will give them more challenges to take on.
• Collaborate and Build. You will collaborate with engineering and product teams in an Agile environment to lead, design, and implement advanced machine learning (ML) solutions supporting an effortless client experience and creative insights. You will contribute to the overall ML architecture, infrastructure, data pipelines, and APIs for our solutions. 
• Product Ownership. You will participate in analysis through the delivery and support of machine learning solutions. You must keep up with timelines and project standards. You’re proactive and hands-on, providing technical leadership where necessary. When you see a potential issue, you never leave things hanging and unfinished.
• Discover. Define and implement machine learning infrastructure and models to uncover patterns and predictions, creating business value and innovation.

• Variety of work. You could work on various projects that could include deploying facial recognition, voice recognition, identifying more sophisticated models, learning a new technology, or any other project our team takes on.
• Experience . You have strong experience in relevant skills gained and developed in the same or similar role.

RESPONSABILITIES TO SUCCEED IN THIS ROLE:

• Design and implement machine learning models system for various business problems;
• Collaborate with data scientists, software engineers, product managers, and other stakeholders to understand business requirements and translate them into technical solutions;
• Develop and maintain high-performance, scalable machine learning pipelines using tools such as PyTorch, TensorFlow, or scikit-learn;
• Evaluate model performance and identify areas for improvement through data analysis and statistical testing;
• Collaborate with data scientists to develop innovative machine learning solutions that drive business value;
• Work with software engineers to integrate machine learning models into our product architecture and ensure seamless deployment and maintenance;
• Document and communicate technical design decisions and best practices to stakeholders across the organization;
• Continuously improve your skills and stay up-to-date with the latest advancements in machine learning and AI.

REQUIREMENTS:

• Bachelor’s degree in computer science, data science, or a related field;
• Solid experience in Python programming language;
• Strong understanding of statistics, probability, and machine learning concepts;
• Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn;
• Experience with natural language processing (NLP) or computer vision is a plus;
• Knowledge of SQL databases and data analysis tools such as Pandas, NumPy, Matplotlib, or Seaborn is a plus;
• Ability to communicate complex technical concepts to non-technical stakeholders;
• Excellent problem-solving skills and attention to detail;
• Ability to work independently and collaboratively with cross-functional teams.

PREFERRED SKILLS:

• It’s a plus to have Master’s degree in computer science, data science, or a related field;
• Experience with reinforcement learning, generative models, or transformers is a plus;
• Familiarity with cloud-based machine learning platforms such as AWS; SageMaker, Google Cloud AI Platform, or Azure Machine Learning is a plus;
• Experience with DevOps tools and practices for building, testing, and deploying machine learning models in production environments;
• Knowledge of software development best practices and experience developing scalable software.

What are you waiting for? Apply today!

Find out why people come to ADP and why they stay:

(ADA version: )

*O modelo de trabalho adotado pela ADP é office based/presencial, com a possibilidade de trabalho em home-office por até duas vezes na semana.

“Considerando que as atividades desempenhadas pelos ocupantes deste cargo envolvem acesso a informações altamente confidenciais e sensíveis de clientes da ADP e de seus respectivos empregados, a ADP reserva-se o direito de conduzir checagem de histórico, de tempos em tempos, conforme autoriza o Incidente de Recurso de Revista Repetitivo nº 01 do Tribunal Superior do Trabalho, mediante consentimento do candidato/trabalhador”

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP affirms that inequality is detrimental to our associates, our clients, and the communities we serve. Our goal is to impact lasting change through our actions. Together, we unite for equality and equity. ADP is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.

Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP’s culture and our full set of values.

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