3 Data Science jobs in Cork
Machine Learning Scientist
Posted 13 days ago
Job Viewed
Job Description
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Sr. Machine Learning Engineer (12 month FTC)
Posted 2 days ago
Job Viewed
Job Description
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
Are you ready to lead the charge in transforming enterprise AI initiatives? As a Senior Machine Learning Operations Engineer at McKesson, you'll be at the forefront of our big bet AI projects, harnessing the power of machine learning to drive innovation across the organization. You'll take the helm in the full project lifecycle, focusing on deploying and managing solutions within our MLOps enterprise platform.
This is a 12-month Fixed Term Contract role in which you will be part of a dynamic team dedicated to crafting robust machine learning applications at scale. Your expertise will guide the detailed technical design, development, and implementation of state-of-the-art ML solutions. You'll not only design and review model architectures but also ensure the seamless integration and performance of these applications. If you're passionate about pushing the boundaries of what's possible with AI, this position offers a playground of opportunities.
What You'll Do:
End-to-End ML Engineering: Engage in a wide array of ML engineering activities, from Ops and Modeling to Data Engineering, ensuring a comprehensive approach to enterprise solutions.
Innovative Model Design: Collaborate with business leadership and Data Science teams to design, build, and deliver ML models that tackle real-world business challenges.
Strategic Infrastructure Decisions: Utilize your deep understanding of ML techniques to inform infrastructure choices, considering model types, data selection, hyperparameter tuning, and validation.
Complex Problem Solving: Write and test application code, develop and validate ML models, and automate testing and deployment processes to tackle complex problems.
Model Management: Retrain, maintain, and monitor models in production, ensuring they perform optimally and adapt to changing data landscapes.
Cloud-Based Optimization: Leverage cloud-based architectures to deliver scalable and efficient ML models.
Data Pipeline Construction: Develop optimized data pipelines to support ML models with high-quality data in collaboration with data engineering.
CI/CD Excellence: Implement continuous integration and deployment best practices, including test automation and monitoring, to ensure successful model deployments.
Governance and Best Practices: Manage code to minimize vulnerabilities, govern models from a risk perspective, and adhere to Responsible and Explainable AI principles.
Programming Proficiency: Utilize Python, Rust, C++ to develop high-quality, maintainable code.
Basic Qualifications:
• 7+ years industry experience
4+ years programming experience with Python. Rust and C++ are nice to have.
3+ years designing and building data-intensive solutions with distributed computing.
2+ years with industry-recognized ML frameworks (scikit-learn, PyTorch, TensorFlow, Spark, Ray).
1+ year productionizing, monitoring, and maintaining models.
Bachelor's degree or equivalent work experience.
Preferred Qualifications:
1+ years building, scaling, and optimizing ML systems.
1+ years in data gathering and preparation for ML models.
2+ years developing performant, resilient, and maintainable code.
Experience with Azure for developing, deploying, and monitoring of production ML solutions.
Advanced degree in computer science, electrical engineering, mathematics, or a related field.
3+ years with distributed file systems or multi-node database paradigms.
3+ years building production-ready data pipelines for ML models.
Experience with Terraform and DevOps principles, including CI/CD pipelines.
Join us at McKesson, where your expertise will shape the future of enterprise AI!
At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That's why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.
As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
Our Base Pay Range for this position
€69,000 - €115,000
Company:MCKESSON
Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):Senior (5+ years of experience)
Tagged as: Industry , Ireland , Machine Learning , NLP
Machine Learning Engineer - PyTorch/C++ Development (NPU Architecture Team)
Posted 13 days ago
Job Viewed
Job Description
QT Technologies Ireland Limited
**Job Area:**
Engineering Group, Engineering Group > ASICS Engineering
**General Summary:**
**About Qualcomm:** Qualcomm is a leader in wireless innovation, shaping the future of connected devices. Our cutting-edge technologies power billions of products worldwide, and our low-power Machine Learning (ML) solutions set the standard for efficiency and scalability.
**Role Overview:** Join Qualcomm's NPU Architecture team as a Machine Learning Engineer specializing in PyTorch/C++ development. In this role, you will create and optimize critical technologies for our compiler, quantization processes, ML workloads, and performance optimizations. You will also collaborate directly with strategic customers to deliver impactful solutions, shaping the future of energy-efficient ML technology. Your work will empower the world's lowest-power ML solution, deployed in more devices globally than any other.
**Key Responsibilities:**
+ Develop and enhance ML compilers using PyTorch and C++ tailored for Qualcomm's Neural Processing Unit (NPU) architecture.
+ Design and implement advanced quantization techniques to improve model efficiency and accuracy.
+ Optimize ML workloads for deployment across diverse devices, ensuring top-tier performance and energy efficiency.
+ Work directly with strategic customers to address specific challenges and deliver tailored ML solutions.
+ Collaborate with architecture and software engineering teams to integrate cutting-edge ML technologies into Qualcomm platforms.
+ Research, prototype, and implement innovative solutions in ML compiler design and system-level optimizations.
+ Evaluate and debug ML performance to identify and resolve bottlenecks in complex workflows.
+ Create thorough technical documentation to share knowledge and advancements with the team.
**Minimum Qualifications:**
- Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
OR
Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field.
**Qualifications:**
+ Bachelor's or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related discipline.
+ Strong expertise in PyTorch and C++ programming.
+ Experience with ML workload analysis, compiler development, and quantization techniques.
+ Familiarity with deep learning frameworks such as TensorFlow or ONNX is a plus.
+ Proven track record of solving complex performance and efficiency challenges in hardware-aware ML solutions.
+ Ability to work collaboratively with strategic customers and deliver impactful results.
+ Excellent analytical skills and ability to thrive in a high-performance team environment.
**Preferred Qualifications:**
+ Experience with ML model deployment on hardware accelerators such as GPUs, TPUs, or NPUs.
+ Understanding of system-level architecture and low-level programming.
+ Contributions to ML research or publications in relevant fields are an advantage.
**Why Join Qualcomm?** At Qualcomm, you'll be part of an innovative team that drives impactful advancements in ML technology. As a member of the NPU Architecture team, you'll work directly with strategic customers to create customized solutions while shaping the future of energy-efficient ML. Your contributions will support technology that powers more devices worldwide than any other ML solution.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
**To all Staffing and Recruiting Agencies** : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers ( .
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification
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