All roles

Machine Learning Engineer - Remote

Remote · USA Full-time New today

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. Apply tot his job Apply To this Job

Apply To This Job

Related roles

Remote Machine Learning Runtime Optimization Engineer (Mac/Edge Devices)

Remote · USA Full-time

Data Science/Machine Learning Engineer (Remote, Continental United States)

Remote · USA Full-time

Machine Learning Engineers (Remote, Continental United States)

Remote · USA Full-time

Remote Artificial Intelligence & Machine Learning Engineer - Meetings in Annapolis, MD

Remote · USA Full-time

Machine Learning Engineer II, Computer Vision Applied Science

Remote · USA Full-time

Machine Learning Engineer / Data Scientist

Remote · USA Full-time

Software Engineer (Golang)

Remote · USA Full-time

Jr Copywriter

Remote · USA Full-time

QA Engineer, Early Career

Remote · USA Full-time

Remote DevOps Engineer (Kafka/Kong)

Remote · USA Full-time

Experienced Entry Level Remote Customer Service Representative – Delivering Exceptional Travel Experiences at arenaflex

Remote · USA Full-time

Experienced Seasonal Customer Service Agents – Remote W-2 Agents for arenaflex

Remote · USA Full-time

Senior Quality Compliance Specialist, Complaint Handling & MDR Reporting

Remote · USA Full-time

Senior CRA II Sponsor Dedicated based in Munich, Düsseldorf or Berlin regions

Remote · USA Full-time

.NET Full Stack Developer

Remote · USA Full-time

Advanced Data Scientist and Researcher

Remote · USA Full-time

Sr. Account Executive (Field Sales)

Remote · USA Full-time

Clinical Informatics (RN), Principal – Faulkner

Remote · USA Full-time

Experienced Data Entry Professional for Teens - Join arenaflex Team

Remote · USA Full-time

Part-time Chat Specialist – arenaflex – College Station, TX

Remote · USA Full-time