Our collective blend of expertise and experience makes PwC a great place to work. PwC Ireland welcomes top talent from all backgrounds to join us at the start of what will be your lifelong journey of development and discovery. Let's see where your talent could take you.
Line of Service: Advisory
Industry/Sector: Not Applicable
Specialism: Technology Strategy
Management Level: Manager
Job Description & Summary PwC Ireland- Bring Your Talent, Grow Your Skills, Unlock Your Potential! Join our "New Products and Services" team, where you'll be part of a newly created team responsible for leading the enablement of innovative AI solutions that create meaningful impact for our firm, clients and society.
As a Senior Machine Learning Engineer, you'll play a key part in developing advanced machine learning and AI solutions, contributing to our AI strategy, and driving innovation. You will work closely with data scientists, product developers, and business strategists to transform ideas and concepts into practical, scalable solutions.
This role offers the chance to explore and apply emerging technologies and advanced techniques, ensuring our solutions remain at the forefront of the industry and continue to address the evolving needs of our clients.
If you're passionate about exploring new possibilities, pushing the boundaries of AI and eager to make a meaningful impact in a forward-thinking, dynamic setting, this could be the role for you!
Why Join Us? Empowerment: Enjoy the freedom to explore and innovate, with a supportive team that values your unique perspective. Impact: Make a lasting difference with your work, contributing to projects that drive meaningful change. Growth: Thrive in a nurturing and collaborative environment that prioritizes your well-being, professional development, learning with access to the latest technology and tools. Inclusivity: Be part of a diverse and inclusive workplace where everyone's voice is heard and respected. Purpose-led work you'll be part of As a Machine Learning Data Engineer, you will drive AI innovation by developing scalable solutions, and turning complex concepts into impactful, real-world applications through close collaboration across teams.
Key Responsibilities: Manage end-to-end machine learning projects, from conceptualization 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. Experience and Background: 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++, and 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. Additional experience and skills (advantageous): 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), and computer vision. Experience with Docker, Kubernetes, or other equivalent technologies for deploying ML models in production. Enjoy PwC's perks: We reward your impact and support your well-being through a competitive compensation package, inclusive employee benefits, and flexibility programs that will help you thrive in work and life. Learn more about us at Life@PwC. (https://www.pwc.ie/careers-ie/life-at-pwc.html).
Being appreciated for being you: Our most valuable asset is our people and we grow stronger as we learn from one another. We are an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We believe this so much that we have signed up for the Business in the Community Elevate Pledge. (https://www.bitc.ie/the-leaders-group-on-sustainability/inclusive-workplace-pledge/)
You can learn more about our culture of belonging and explore our range of inclusive programmes, initiatives, employee resource groups, and more at www.pwc.ie.
Avoid the confidence gap; you do not have to match all the listed requirements exactly to apply, we'd love to hear from you!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please email us for more information.
Education: Degrees/Field of Study required: Degrees/Field of Study preferred:
Certifications: (if blank, certifications not specified)
Required Skills: Optional Skills: Desired Languages: (If blank, desired languages not specified)
Travel Requirements: Up to 20%
Available for Work Visa Sponsorship? Yes
Government Clearance Required? No
Job Posting End Date: PwC Ireland is committed to creating an environment that promotes equality and dignity at work. Working together in an inclusive environment enables us to harness the collective and complementary skills, knowledge, background, and networks of our people.
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