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Remote Capsule Filling Machine Operator Jobs in Alabama

Autodesk

$102K - $139.60K/yr

This role is fully remote-friendly, with team members distributed across the US and Canada ... Experience designing and operating scalable data or compute pipelines * Experience with cloud ...

Motorola

$90K - $105K/yr

The person filling this role will primarily provide detailed technical, administration, and end ... Working knowledge of networking, PCs, and Operating Systems * Willing to travel approximately 50%

Https://www.eosdsusa.com/

Senior Software Engineer

Huntsville, AL · On-site +1

$120.70K - $159.10K/yr

... can be operated via existing physical controls/UIs or through a fully remote, software-only ... Strong command of socket programming (UDP/TCP) and serial communication (RS-232/422) for machine-to ...

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Remote Capsule Filling Machine Operator information

What are the key skills and qualifications needed to thrive as a Remote Capsule Filling Machine Operator, and why are they important?

To thrive as a Remote Capsule Filling Machine Operator, you need experience with pharmaceutical manufacturing processes, attention to detail, and a high school diploma or equivalent. Familiarity with automated capsule filling machinery, production management software, and quality control systems is typically required. Strong problem-solving skills, reliability, and the ability to work independently are valuable soft skills in this role. These competencies ensure efficient, accurate production and compliance with strict safety and quality standards in pharmaceutical environments.

What are the typical challenges faced by a Remote Capsule Filling Machine Operator, and how can they be managed effectively?

Remote Capsule Filling Machine Operators often encounter challenges such as troubleshooting technical issues from a distance, ensuring consistent product quality, and maintaining clear communication with on-site teams. To manage these challenges, operators should be well-versed in remote monitoring tools, maintain detailed logs, and follow standard operating procedures closely. Regular virtual check-ins with production and maintenance staff help ensure any issues are addressed promptly and that quality standards are consistently met.

What is a Remote Capsule Filling Machine Operator?

A Remote Capsule Filling Machine Operator is a professional responsible for overseeing and controlling capsule filling machines from a remote location, often using specialized software and monitoring systems. Their main duties include ensuring the machines are operating efficiently, troubleshooting technical issues, maintaining quality standards, and keeping accurate records of production batches. This role is critical in pharmaceutical and supplement manufacturing, where precise dosing and contamination prevention are essential. Operators may also coordinate with on-site staff to address mechanical problems or maintenance needs as they arise.

What is the difference between Remote Capsule Filling Machine Operator vs Remote Tablet Press Operator?

AspectRemote Capsule Filling Machine OperatorRemote Tablet Press Operator
CredentialsHigh school diploma, technical training, certifications in pharmaceutical manufacturingHigh school diploma, technical training, certifications in pharmaceutical or supplement production
Work EnvironmentPharmaceutical or supplement manufacturing facilities, often in cleanroom settingsTablet production lines in pharmaceutical or supplement plants, often in controlled environments
Industry UsageCommonly used in pharmaceutical, nutraceutical, and supplement industriesPrimarily in pharmaceutical and nutraceutical manufacturing
Job FocusOperating and monitoring capsule filling machines, quality controlOperating tablet presses, ensuring proper compression and quality

The main difference between a Remote Capsule Filling Machine Operator and a Remote Tablet Press Operator lies in the type of equipment operated and the product form. Both roles require similar certifications and work in comparable environments, but they focus on different stages of the production process—capsules versus tablets.

What are the most commonly searched types of Capsule Filling Machine Operator jobs in Alabama? The most popular types of Capsule Filling Machine Operator jobs in Alabama are:
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Remote Capsule Filling Machine Operator jobs near you
Senior Machine Engineer, ML Systems and Infrastructure

Senior Machine Engineer, ML Systems and Infrastructure

Autodesk

Remote

$102K - $139.60K/yr

Full-time

Posted 24 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 184 rated software companies

Job description

Job Requisition ID #

26WD98118

POSITION OVERVIEW

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.

Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the infrastructure behind large-scale data pipelines, distributed training systems, evaluation frameworks, and production ML workflows that support foundation models and ML-powered product features.

This role is ideal for an engineer who is deeply interested in scalable systems and production-grade ML infrastructure. You will operate independently across multiple parts of the stack and help define strong engineering practices for reliability, performance, and maintainability.

This role is fully remote-friendly, with team members distributed across the US and Canada.

Location: US or Canada Remote, East Coast

RESPONSIBILITIES

  • Design and build scalable systems for ML training, evaluation, deployment, and monitoring

  • Develop and improve data pipelines that process large-scale structured and semi-structured technical datasets

  • Optimize distributed workflows for performance, reliability, resource utilization, and cost efficiency

  • Build platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observability

  • Contribute to model deployment, inference services, and production monitoring workflows

  • Improve data quality, lineage, provenance, and operational transparency across ML pipelines

  • Contribute to architecture and design discussions across the team

  • Identify and resolve bottlenecks in data, compute, orchestration, and observability layers

  • Mentor engineers through code reviews, design guidance, and knowledge sharing

  • Collaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systems

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelines

  • Strong experience in software engineering, distributed systems, backend systems, or ML infrastructure

  • Strong proficiency in Python and experience delivering production-quality systems

  • Experience designing and operating scalable data or compute pipelines

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, CI/CD, observability, and release quality practices

  • Ability to independently drive technical execution on complex work with limited oversight

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Experience with data lineage, provenance, governance, and responsible data usage in ML systems

  • Experience with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Experience with model deployment, inference services, monitoring, and observability for production ML systems

  • Experience building ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience with distributed ML frameworks such as PyTorch, Lightning, DeepSpeed, FSDP, Megatron, or similar

  • Familiarity with AEC workflows, design data, BIM/CAD formats, or Autodesk products

THE IDEAL CANDIDATE

  • Thinks like a systems engineer and executes like a strong software developer

  • Can balance short-term delivery with long-term platform health

  • Brings strong technical judgment and ownership

  • Improves team effectiveness through mentoring and engineering rigor

  • Enjoys solving scaling, performance, and reliability challenges

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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