Machine Learning Engineer
2 weeks ago
__________________________________________
Why WWT?
At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.
Founded in 1990, World Wide Technology (WWT), a global technology solutions provider
leading the AI and Digital Revolution,
with $20 billion in annual revenue, combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for large public and private organizations around the world. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps customers and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.
With nearly 10,000 employees and more than 55 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 13 years in a row by Fortune and Great Place to Work for its unique blend of determination, innovation and leadership focus on diversity and inclusion. With this culture at its foundation, WWT bridges the gap between business and technology to make a new world happen for its customers, partners, and communities.
Want to work with highly motivated individuals on high-performance teams? Join WWT today
What will you be doing?
As a skilled and experienced Machine Learning Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and systems for deploying and managing machine learning models. You will work closely with data scientists, software engineers, and cross-functional teams to ensure the scalability, reliability, and performance of our machine Learning Operations and processes.
Responsibilities:
Be an equal member of a cohesive and selfless team.
Take complete ownership of your work with the goal of exceeding customer expectations.
Design and implement scalable machine learning systems and infrastructure.
Develop and maintain CI/CD pipelines and automation processes for model deployment.
Optimize data pipelines for preprocessing, feature engineering, and model training.
Collaborate with DevOps teams to ensure seamless integration of Machine Learning models into production.
Monitor and optimize the performance, scalability, and cost-efficiency of Machine Learning systems.
Implement robust monitoring and alerting systems for deployed models.
Troubleshoot and resolve performance, reliability, and security issues.
Stay updated with the latest advancements in machine learning, DevOps, and cloud technologies.
Mentor and provide guidance to junior team members.
Flexibility to work as a member of matrix-based diverse and geographically distributed project teams.
Qualifications:
Bachelor's Degree
A combination of education, training and experience may be considered in lieu of a degree
A minimum of 3 years' progressive experience in a related field
3+ years of experience in machine learning or software engineering roles.
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Preferred License/Certifications AWS: Cloud practitioner, WS: Machine Learning, Azure Certified Data Scientist: Fundamental Level, Azure Certified Data Engineer: Fundamental Level, SnowPro Core Certification
Strong knowledge of machine learning concepts, algorithms, and frameworks
Proficiency in programming languages such as Python
Experience with cloud platforms like AWS, Azure, or Google Cloud and related services
Solid understanding of DevOps practices, CI/CD pipelines, and infrastructure-as-code tools
Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes)
Demonstrated experience deploying and managing machine learning models in production
Excellent problem-solving, communication, and collaboration skills.
self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity. Ability to change
direction quickly
Ability to balance and prioritize multiple projects
Up to 10% travel Domestic and International
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
Health and Wellbeing: Heath, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
Equal Opportunity Employer Minorities/Women/Veterans/Individuals with Disabilities
Preferred Locations Include:
Missouri and potentially others
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