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Remote Capsule Filling Machine Operator Jobs in California

Salvation Army

Registered Dietician-Remote

Yuba City, CA · On-site +1

$33 - $44.50/hr

Maintain a highly detailed and organized filling system * Ensure intake and care procedures utilize ... Ability to operate basic office equipment and tools PC, Fax Machine, Telephone, Calculator, Copier ...

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All JobsRemote Capsule Filling Machine Operator JobsRemote Capsule Filling Machine Operator Jobs in California

Remote Capsule Filling Machine Operator information

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 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 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 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 most commonly searched types of Capsule Filling Machine Operator jobs in California? The most popular types of Capsule Filling Machine Operator jobs in California are:
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Remote Capsule Filling Machine Operator jobs near you
Machine Learning Engineer- Remote

Machine Learning Engineer- Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$110K - $166K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description


The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.
Duties and Responsibilities
  • Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.
  • Build and maintain an industry leading MLOps tech stack.
  • Mentor data scientists within the business, ensuring we're building best-in-class models.
  • Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.
  • Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.
  • Design, build, and maintain a secure and scalable CI/CD framework for data science teams.

Scope
  • Staff supervision and development: No
  • Decision making: Recommends policy and resolves problems
  • Travel: Up to 5%
  • Flex Designation: Anywhere

The anticipated salary range for this position is $110,800 - $166,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.
Requirements
Education and Experience
Education Requirements
  • Bachelor's in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Master's degree or Ph.D. is a plus.

Years of Experience
  • 2-4 years experience as ML engineer or data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
  • 2-4 years experience developing, tuning, operationalizing, and monitoring enterprise ML models at scale.
  • 2-4 years experience with public cloud platforms & systems (AWS, GCP, Azure).

Skills
  • Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
  • Strong technical expertise in scripting (Python) database languages (SQL), and PySpark for model development.
  • Excellent time management and planning skills, organized with the ability to multi-task, exceptional follow-up skills and able to meet deadlines.
  • Excellent written, oral, and interpersonal communication skills, with ability to communicate effectively.
  • Experience to tracking projects and goals to successful completion (with visible metrics).
  • Ability to stay abreast of significant technological developments that may impact the business.
  • Equipped to effectively prioritize, collaborate and excel in a fast-paced, high-pressure environment.
  • Highly self-motivated, self-directed, and attentive to detail, with an emphasis on accuracy, detail, and timeliness.
  • Understanding and experience with project management methodologies.
  • Ability to manage multiple projects concurrently.

Physical Requirements
General office environment requiring ability to:
  • Stand, walk, sit for extended periods of time.
  • Speak and listen to others in person and over the phone and video conferencing.
  • Use keyboard and read from computer screen and reports.
  • The ability to lift up to 15 lbs.

Safety
  • Must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.

About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.

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