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Forward deployed engineer -agentic ai

Liverpool (Merseyside)
Kyndryl
Engineer
Posted: 4h ago
Offer description

Overview

Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. We are always moving forward, pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You\'ll wear many hats and tackle new puzzles and challenges each day. You will dive deep into the heart of our business, understand its objectives, and convert this knowledge into a data problem. You will collect and explore data to identify patterns and initial insights that guide hypotheses.

You will embark on a process of business understanding, data understanding, and data preparation. Using statistical and mathematical modeling techniques, you\'ll create models that address intricate business challenges with a focus on accuracy and generalization. You will evaluate models to ensure they solve business problems effectively and optimally. You\'ll deploy models as code to applications and processes, ensuring the models sustain business value throughout their lifecycle. You will navigate our business processes, identify issues, and craft solutions that drive meaningful change. You will develop and apply standards and policies to protect data as a valuable asset, ensuring data is secure, private, accurate, available, and usable. Your expertise covers data management, migration, strategy, change management, and policy and regulation. If you\'re ready to embrace the power of data to transform our business, join us at Kyndryl.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career with hands-on experience, learning opportunities, and the chance to certify across major platforms. Whether you want to broaden knowledge or specialize in a sector, you can find opportunities here.


Who You Are

Who You Are
You\'re good at what you do and have the required experience. You also have a growth mindset, are customer-focused, and are open and inclusive in collaborating with others.


Required Skills and Experience

* Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
* Excellent problem-solving, analytical, and critical thinking skills
* Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
* Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail


Preferred Skills and Experience

* Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
* Professional certification, e.g., Open Certified Data Scientist
* Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
* Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
* Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care


Being You

Diversity is a whole lot more than what we look like or where we come from; it\'s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. Our Kyndryl Inclusion Networks support building a workplace where everyone can contribute and bring their whole self to work, supporting an equitable culture.


What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate and build new capabilities, relationships, processes, and value. We offer benefits that support well-being, learning programs for certifications (Microsoft, Google, Amazon, Skillsoft, and more), and opportunities to give back through volunteering and charitable giving. We invest in you so that together we succeed.


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