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Remote Distillery Jobs (NOW HIRING)

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Contribute to model distillation, optimization, and fine-tuning efforts to improve performance ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

$136K - $204K/yr

... Trace Distillery has earned the title of "world's most award-winning distillery" through the ... In this remote Louisville-based position, you will partner with Brand, Marketing, and National ...

Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop ... Knowledge of generative models, model distillation, or model inference acceleration. * Familiarity ...

... Trace Distillery has earned the title of "world's most award-winning distillery" through the ... This position can be remote in the following states: AL, AR, DE, DC, FL, GA, IA, IN, KY, LA, MD, ME ...

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Remote Distillery information

What are the key skills and qualifications needed to thrive in the Remote Distillery position, and why are they important?

To thrive as a Remote Distiller, you need comprehensive knowledge of distillation processes, chemistry, and quality control, typically acquired through a degree in food science, chemistry, or related fields, plus relevant industry experience. Familiarity with remote monitoring tools, automated distillation systems, and regulatory compliance software is essential for managing operations not on-site. Self-motivation, strong problem-solving abilities, and effective remote communication are standout soft skills in this position. These competencies are crucial for ensuring product quality, maintaining compliance, and ensuring smooth operations when managing distillation processes from a distance.

What is a Remote Distillery job?

A Remote Distillery job typically involves managing distillation processes, quality control, or business operations remotely. This can include tasks such as overseeing production data, coordinating supply chains, ensuring regulatory compliance, or handling sales and marketing efforts. While hands-on distilling requires physical presence, remote roles often focus on digital monitoring, administration, or consulting. Advances in automation and IoT make it easier to oversee some aspects of distillation from afar.

What does a typical workday look like for a Remote Distillery professional?

A typical workday for a Remote Distillery professional involves monitoring and controlling distillation processes using specialized software and sensor data, ensuring product quality and compliance with safety standards. You’ll likely collaborate with on-site technicians and quality assurance teams through virtual meetings, provide troubleshooting support, and analyze operational data to optimize output. Documentation and reporting are also key parts of the job, as is staying up to date with industry regulations and best practices. The remote aspect means a strong focus on proactive communication and accountability to maintain seamless operation of the distilling facility.

More about Remote Distillery jobs
What cities are hiring for Remote Distillery jobs? Cities with the most Remote Distillery job openings:
What are the most commonly searched types of Distillery jobs? The most popular types of Distillery jobs are:
What states have the most Remote Distillery jobs? States with the most job openings for Remote Distillery jobs include:
Infographic showing various Remote Distillery job openings in the United States as of July 2026, with employment types broken down into 43% Internship, 30% As Needed, 14% Full Time, 3% Part Time, and 10% Nights. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.
Machine Learning Operations Engineer - Remote

Machine Learning Operations Engineer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$76K - $102K/yr

Full-time

Posted 4 days ago


Job description

NAVA Software solutions is looking for a Machine Learning Operations Engineer
Details:
Machine Learning Operations (MLOps) Engineer - AWS (with LLM Focus)
Location: Remote work
Duration: 12 months

Responsibilities:
  • LLM-Optimized MLOps Infrastructure: Design and implement MLOps infrastructure on AWS tailored for LLMs, leveraging services like SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and more.
  • LLM Deployment Pipelines: Build and manage CI/CD pipelines specifically for LLM deployment, addressing unique challenges like model size, inference optimization, and versioning.
  • LLMOps Practices: Implement LLMOps best practices for monitoring model performance, drift detection, prompt management, and feedback loops for continuous improvement.
  • RESTful API Development: Design and develop RESTful APIs to expose LLM capabilities to other applications and services, ensuring scalability, security, and optimal performance.
  • Model Optimization: Apply techniques like quantization, distillation, and pruning to optimize LLM models for efficient inference on AWS infrastructure.
  • Monitoring and Observability: Establish comprehensive monitoring and alerting mechanisms to track LLM performance, latency, resource utilization, and potential biases.
  • Prompt Engineering and Management: Develop strategies for prompt engineering and management to enhance LLM outputs and ensure consistency and safety.
  • Collaboration: Work closely with data scientists, researchers, and software engineers to integrate LLM models into production systems effectively.
  • Cost Optimization: Continuously optimize LLMOps processes and infrastructure for cost-efficiency while maintaining high performance and reliability.

Qualifications:
  • Experience: 3+ years of experience in MLOps or a related field, with hands-on experience in deploying and managing LLMs.
  • AWS Expertise: Strong proficiency in AWS services relevant to MLOps and LLMs, including SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and API Gateway.
  • LLM Knowledge: Deep understanding of LLM architectures (e.g., Transformers), training techniques, and inference optimization strategies.
  • Programming Skills: Proficiency in Python and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), REST API frameworks (e.g., Flask, FastAPI), and LLM libraries (e.g., Hugging Face Transformers).
  • Monitoring: Familiarity with monitoring and logging tools for LLMs, such as Prometheus, Grafana, and CloudWatch.
  • Containerization: Experience with Docker and container orchestration (e.g., Kubernetes, ECS) for LLM deployment.
  • Problem Solving: Excellent problem-solving and troubleshooting skills in the context of LLMs and MLOps.
  • Communication: Strong communication and collaboration skills to effectively work with cross-functional teams

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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