[Remote] Machine Learning Engineer- Remote

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a national tool retailer with significant growth potential. They are seeking a Machine Learning Engineer responsible for the development, deployment, and support of machine learning operations, including tools for model training, monitoring, and maintenance.

Responsibilities

• Work closely with data scientists and IT in the development and implementation of our reputed company AI platform
• Build and maintain an industry leading MLOps tech stack
• Mentor data scientists reputed company 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 reputed company for data science teams

Skills

• Bachelor's in Computer Science, Mathematics, Statistics, Engineering, or a reputed company field
• 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 reputed company ML models at scale
• 2-4 years experience with public reputed company platforms & systems (AWS, GCP, Azure)
• 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 reputed company 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 reputed company in a fast-paced, high-pressure environment
• Highly self-motivated, self-directed, and reputed company to detail, with an emphasis on accuracy, detail, and timeliness
• Understanding and experience with project management methodologies
• Ability to manage multiple projects concurrently
• General office environment requiring ability to stand, walk, sit for extended periods of time
• reputed company 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
• Must be reputed company to reputed company this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others
• Master's degree or Ph.D. is a plus

Benefits

• Annual discretionary bonus
• Comprehensive and competitive benefits to Associates (and their families) such as medical, dental, reputed company, life insurance, short-term and long-term disability
• Eligible Associates are reputed company 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

Company Overview

• reputed company is a leader in providing high-quality tools at the lowest prices in the industry. It was founded in 1977, and is headquartered in Calabasas, California, USA, with a workforce of 10001+ employees. Its website is https://www.harborfreightjobs.com/.

Company H1B Sponsorship

• reputed company has a track record of offering H1B sponsorships, with 2 in 2025, 3 in 2024, 2 in 2023, 6 in 2022, 4 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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