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Analytics Engineer Jobs in Remote, OR (NOW HIRING)

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Analyze, map, and document business processes; translate process requirements into agentic ... Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent ...

Bausch+Lomb Companies Inc.

AI Agent ML Engineer

OR · On-site

$165K - $190K/yr

Analyze, map, and document business processes; translate process requirements into agentic ... Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent ...

Project Sapiens

Pre-Sales Engineer, P&C

OR · Remote

Pre-Sales Engineer, P&C Location : Remote (US) Sapiens is on the lookout for a Pre-Sales Engineer ... Leading the benefits assessment process and developing customized ROI/ROR analysis * Architecting ...

Lumen Technologies

Senior Planning Engineer

OR · On-site +1

$84.63K - $112.84K/yr

Analyze wave path trending, toproute utilization, and headroom metrics to proactively initiate ... Bachelor's degree in Engineering, Telecommunications, Network Architecture, or equivalent ...

Orenco Systems

Controls Engineering Manager

Sutherlin, OR · On-site

$136K - $186K/yr

Models, tests, and measures output and data to analyze performance or quality issues and develop solutions. The Controls Engineering Manager bridges engineering innovation and business strategy by ...

New

Orenco Systems

Controls Engineering Manager

Sutherlin, OR

$82.20K - $106.30K/yr

Models, tests, and measures output and data to analyze performance or quality issues and develop solutions. The Controls Engineering Manager bridges engineering innovation and business strategy by ...

New

Orenco Systems

Controls Engineering Manager

Sutherlin, OR · On-site

$136K - $186K/yr

Models, tests, and measures output and data to analyze performance or quality issues and develop solutions. The Controls Engineering Manager bridges engineering innovation and business strategy by ...

Sapiens

Pre-Sales Engineer, P&C

OR · On-site +1

Pre-Sales Engineer, P&C Location : Remote (US) Sapiens is on the lookout for a Pre-Sales Engineer ... Work with Product Strategy to perform market analysis to enhance the demo environments as per ...

Lumen Technologies

Senior Planning Engineer

OR · Remote

$84.63K - $112.84K/yr

Planning Engineers also coordinate with multidisciplinary teams to align all project milestones ... Monitor and analyze project progress, addressing any deviations from planned schedules and making ...

Lumen Technologies

Senior Lead IT Engineer

OR · On-site +1

$132.23K - $176.31K/yr

Lead root cause analysis and resolution of complex infrastructure and agent-related incidents. * Serve as the technical lead for enterprise IT engineering initiatives, providing guidance, mentorship ...

Verdantas

Water/Wastewater Engineer

Coos Bay, OR

$95K/yr

... analysis, cost estimating, and preparation of engineering reports and permitting documents ... Coordinate with multidisciplinary teams, including mechanical, electrical, structural ...

Anytime AI

Be Seen First

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Strong analytical and problem-solving skills, adept at identifying and addressing bottlenecks for ... Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies. * Experience ...

Veeco Instruments, Inc.

Sr. Field Service Engineer

OR · On-site +1

Overview At Veeco, Senior Field Service Engineers play a front-line role in shaping how next ... Act as the primary escalation point for early-life tool behavior, driving root cause analysis and ...

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Analytics Engineer information

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

What job categories do people searching Analytics Engineer jobs in Remote, OR look for? The top searched job categories for Analytics Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Analytics Engineer jobs? Cities near Remote, OR with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Remote, OR as of May 2026, with employment types broken down into 84% Full Time, 7% Part Time, and 9% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.
AI Agent ML Engineer

AI Agent ML Engineer

Bausch + Lomb

Myrtle Point, OR • On-site, Remote

$165K - $190K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Bausch & Lomb rating

8.4

Company rating: 8.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

47th of 512 rated manufacturers

Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world-from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.
Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.
The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb's departments. This hybrid role blends hands-on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.
Key Responsibilities
  • Architect and develop multi-agent systems for process automation and intelligent decision-making.
  • Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, AutoGPT, or similar.
  • Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.
  • Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions.
  • Collaborate with business stakeholders to identify opportunities for agent-driven process improvement.
  • Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models.
  • Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.
  • Optimize models for scalability, latency, and accuracy in production environments.
  • Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards.
  • Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.
  • 3+ years' experience in AI/ML engineering, agent development, process engineering, or related roles.
  • Proven track record of building and deploying production-grade AI agents and ML models.
  • Deep expertise in at least three of the following: Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI.
  • Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools.
  • Experience in business process analysis, process mapping, and workflow automation.
  • Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate).
  • Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals.
  • Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics.
  • Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000 and $190,000.The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors. U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.
Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.
To learn more please read Bausch + Lomb's Job Offer Fraud Statement.
Our Benefit Programs: Employee Benefits: Bausch + Lomb
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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About Bausch & Lomb

Sourced by ZipRecruiter

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world--from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our nearly 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 12,500 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Bridgewater, NJ, US

Year founded

1853

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