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Sr. Analyst, Renewals Strategy & Operations
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New York, NY
Technical oversight: Technical leader capable of designing and overseeing the build-out and operations of complex distributed systems at scale in a fast-paced analytics organization
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New York, NY
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New York, NY
- $109,700 to $164,500 USD / year
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New York, NY
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
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New York, NY
Identify and lead cross-functional initiatives that drive programmatic improvements, partnering with Product, Tech, Marketing, and Operations teams
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Senior Analyst, Partner Experience Operations and Technology - Global Dining
American Express
New York, NY
- $65,500 to $102,500 USD / year
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Managing Director – Senior Structurer, Commodities North America
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Director, Claims & Investigations
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Oversight & Management of Claims Bureau Operations. This responsibility involves directing and overseeing the daily operations of the Claims Bureau, including administration, accident…
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Vice President, Program Executive
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Senior Manager Policy & Procedure Development
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The Senior Manager, Policy & Procedure Development supports the Assistant Vice President of Operations Planning in the development, review, maintenance, and continuous improvement of…
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Managing Director AIE & Amazon Commerce Connections Lead
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NEW YORK, NY
…senior Amazon Commerce subject matter leader, connecting retail operations, profitability, inventory, digital shelf, search, media, measurement and customer experience. * Translate client…
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Senior Business Analyst, Sales Automation
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Partner with client business, product, engineering, security, and operations teams to resolve requirements and record architecture decisions
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AVP, Data Science
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Project Management Project Manager IV
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Platform Engineer (R37)
R1 RCM
New York, NY
- $126,000 to $243,000 USD / year
…to make healthcare work better for all. Across technology, operations and support functions, our people bring deep expertise, empathy and ingenuity to the work we do. Here, collaboration…
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Sr. Facilities Manager, on-site
CBRE
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…this highly visible, onsite role, you willoversee facilities operations across multiple occupied floors totalingapproximately 250,000 square feet, serving as the primary facilities partner…

Bently Nevada, LLC

Digital Technology Specialist - Data and Analytics

United States

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Job details

Apply by: Nov 8, 2026
Experience: Have 4–8 years of experience developing and deploying machine learning, analytics, artificial intelligence, or data-driven solutions.
Posting language: English
Posted: Nov 3, 2026

Original job description

Do you want to build the next generation of AI solutions that transform industrial operations? Are you passionate about developing scalable machine learning, Generative AI, and Agentic AI technologies that deliver real business impact?

This Senior AI/ML Engineer role is part of the Data, Analytics & AI team, responsible for developing innovative data-driven products and artificial intelligence solutions that power the Cordant suite of digital products. You will design, develop, and deploy advanced AI, machine learning, and analytics solutions that improve asset reliability, operational performance, and customer experience across industrial environments.

Partner with the best As a Senior AI/ML Engineer, you will work at the intersection of industrial data, cloud technologies, advanced analytics, and artificial intelligence. You will collaborate with product managers, domain experts, software engineers, and data engineers to deliver production-ready solutions while providing technical leadership throughout the AI/ML development lifecycle.

As the Senior AI/ML Engineer, you will be responsible for:

Designing and developing scalable AI/ML and advanced analytics solutions for the Cordant product portfolio.
Building production-grade data pipelines, predictive models, and AI workflows using structured and unstructured datasets.
Developing Generative AI and Agentic AI applications, including intelligent assistants, copilots, and enterprise search experiences.
Architecting Retrieval-Augmented Generation (RAG) solutions, agent workflows, prompt engineering strategies, evaluation frameworks, and AI governance controls.
Deploying, monitoring, and optimizing AI/ML solutions using MLOps, LLMOps, CI/CD pipelines, and observability best practices.
Driving technical design decisions and partnering with cross-functional teams to solve complex customer and business challenges.
Mentoring engineers while promoting reusable frameworks, engineering standards, and AI/ML best practices.
Ensuring AI solutions are secure, scalable, reliable, explainable, and aligned with responsible AI principles.

Fuel your passion

To be successful in this role you will:

Have a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or another STEM-related discipline.
Have 4–8 years of experience developing and deploying machine learning, analytics, artificial intelligence, or data-driven solutions.
Have strong proficiency in Python, SQL, and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, or LangGraph.
Have hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, agentic AI architectures, and AI evaluation techniques.
Have experience designing data pipelines and working with cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
Have strong knowledge of MLOps, LLMOps, CI/CD practices, APIs, microservices, container technologies, and modern software engineering principles.
Have experience designing scalable AI/ML architectures and successfully taking solutions from prototype through enterprise production deployment.
Have strong analytical, problem-solving, communication, and technical leadership skills within an Agile product development environment.

Desired Characteristics

Have experience applying AI and machine learning technologies to industrial, reliability, asset performance, or operational use cases.
Demonstrate a passion for innovation and emerging technologies within the AI and data analytics landscape.
Be able to effectively influence stakeholders and collaborate across global, cross-functional teams.
Possess strong communication skills with the ability to translate complex technical concepts into business value.

Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer flexible working patterns and hybrid working arrangements that support both collaboration and work-life balance.

Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged, and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent, and develop leaders at all levels to bring out the best in each other.

Working for you

What You Can Expect:

Contemporary work-life balance policies and wellbeing activities.
Comprehensive private medical care options.
Safety net of life insurance and disability programs.
Tailored financial programs.
Additional elected or voluntary benefits.

This position requires valid work authorization in the country of employment. The employer is unable to sponsor work authorization for this role at any time.

You will be eligible to participate in Company-sponsored benefit programs, including health & welfare programs and the Thrift Plan (401k). You will have a choice of coverage options that best suit your needs. Coverage options and contribution amounts are related to your benefit elections, base salary level, and specific requirements of each of these plans.

This position is eligible for our comprehensive and competitive benefits package, which can be found here, and is further eligible for additional forms of compensation such as bonuses subject to the terms of the applicable benefit plans or policies.

The Baker Hughes internal title for this role is: Digital Technology Specialist - Data and Analytics

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More about this job

Skills

ML
Customer experience
Cloud technologies
Leadership
CI/CD
Coaching
Computer science
Artificial intelligence
Machine learning
Python
SQL
PyTorch
TensorFlow
Scikit-learn
LangChain
Microsoft Azure
AWS
Microservices
Engineering principles
Problem solving
Communication skills
Agile
Data analysis

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