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Senior Machine Learning Engineer, AI (Manager)

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PwC

Sep 18

  • Job
    Full-time
    Mid Level
  • Data
    Software Engineering
  • Dublin
  • Quick Apply

AI generated summary

  • You need 4+ years in ML model development, expertise in Python/R, tools like PyTorch/Spark, big data tech, SQL/NoSQL, MLOps, Azure/AWS, and Docker/Kubernetes, plus certifications and advanced ML techniques.
  • You will manage ML projects, design and deploy models, prepare data, integrate solutions with teams, and mentor junior engineers to enhance skills and knowledge sharing.

Requirements

  • Minimum of 4+ years of hands-on experience in building and deploying real-world machine learning (ML) models and solutions
  • Proficiency in Python, R, C++, other relevant technologies for developing and implementing machine learning algorithms.
  • Expertise in using PyTorch, scikit-learn, Apache Spark, or other equivalent technologies for building and training models.
  • Knowledge of Hadoop, Kafka, or other big data technologies for processing and managing large datasets.
  • Knowledge of SQL and NoSQL databases for data storage and retrieval.
  • Knowledge of MLOps practices and tools for managing the entire machine learning lifecycle, from data collection to model deployment and monitoring
  • Relevant certifications in data science, machine learning or big data technologies.
  • Experience with Microsoft Azure (and AWS, if available) for deploying and scaling machine learning apps
  • Experience building machine learning solutions using Databricks or other equivalent platforms
  • Understanding of best practices for ensuring the security and compliance of machine learning applications, including data privacy and ethical considerations
  • Familiarity with advanced machine learning techniques and frameworks, such as reinforcement learning, natural language processing (NLP), computer vision
  • Experience with Docker, Kubernetes, or other equivalent technologies for deploying ML models in production

Responsibilities

  • Key Responsibilities:
  • Manage end-to-end machine learning projects, from conceptualisation to deployment, ensuring timely delivery and alignment with business objectives.
  • Design, develop, and deploy machine learning (ML) models to create scalable AI solutions
  • Perform comprehensive data preparation, including cleaning, preprocessing, and feature engineering to ensure high-quality input data
  • Work with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
  • Provide guidance and mentorship to junior machine learning engineers and data scientists, fostering skill development and knowledge sharing.

FAQs

What is the primary role of the Senior Machine Learning Engineer, AI (Manager) at PwC Ireland?

The primary role involves developing advanced machine learning and AI solutions, managing end-to-end machine learning projects, and contributing to PwC's AI strategy within a newly created team focused on innovative AI solutions.

What qualifications are required for this position?

A minimum of 4+ years of hands-on experience in building and deploying real-world machine learning models, proficiency in programming languages such as Python, R, or C++, and expertise in using technologies like PyTorch and Apache Spark are required.

What additional skills are considered advantageous for this job?

Advantageous skills include relevant certifications in data science or machine learning, experience with cloud platforms like Microsoft Azure and AWS, familiarity with big data technologies, and knowledge of advanced ML techniques such as NLP and computer vision.

Is there an opportunity for professional development in this role?

Yes, the position offers a nurturing and collaborative environment that prioritizes professional growth, with opportunities for skill development and access to the latest technology and tools.

How does PwC Ireland support work-life balance?

PwC Ireland supports work-life balance through a competitive compensation package, inclusive employee benefits, and flexibility programs designed to help employees thrive both at work and in their personal lives.

What is the work environment like at PwC Ireland?

The work environment at PwC Ireland is described as forward-thinking, dynamic, diverse, and inclusive, where everyone's voice is heard and respected.

Is travel a requirement for this position?

Yes, travel may be required for up to 20% of the job.

Are there opportunities for mentoring in this role?

Yes, the Senior Machine Learning Engineer is expected to provide guidance and mentorship to junior engineers and data scientists.

Does PwC Ireland offer support for individuals with disabilities?

Yes, PwC Ireland provides reasonable accommodations for individuals with disabilities during the application process, in interviews, and in performing essential job functions.

Can applicants apply even if they do not meet all listed requirements?

Yes, applicants are encouraged to apply even if they do not meet all listed requirements, as PwC values diverse experiences and perspectives.

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PwC

Accounting
Industry
10,001+
Employees
1998
Founded Year

Mission & Purpose

PricewaterhouseCoopers (PwC) is one of the Big 4 accounting firms and a leading professional services organisation. PwC offers a broad range of services, including audit and assurance, tax consulting, advisory, and legal services. They work with clients across various industries, from multinational corporations to startups, providing insights, expertise, and solutions to help them address complex challenges and achieve their goals. PwC's ultimate mission is to build trust in society and solve important problems. They strive to enhance transparency, integrity, and accountability in financial reporting, while also supporting sustainable business practices and societal advancement. PwC's purpose is to contribute to creating trust and value for their clients, people, and wider stakeholders, driving confidence and fostering innovation in a rapidly changing world.

Culture & Values

  • Act with integrity

    Speak up for what is right, especially when it feels difficult. Expect and deliver the highest quality outcomes. Make decisions and act as if our personal reputations were at stake.

  • Make a difference

    Stay informed and ask questions about the future of the world we live in. Create impact with our colleagues, our clients and society through our actions. Respond with agility to the ever changing environment in which we operate.

  • Care

    Make the effort to understand every individual and what matters to them. Recognise the value that each person contributes. Support others to grow and work in the ways that bring out their best.

  • Work together

    Collaborate and share relationships, ideas and knowledge beyond boundaries. Seek and integrate a diverse range of perspectives, people and ideas. Give and ask for feedback to improve ourselves and others.

  • Reimagine the possible

    Dare to challenge the status quo and try new things. Innovate, test and learn from failure. Have an open mind to the possibilities in every idea.

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