Apply on Employer Site

Link Logistics · 9 hours ago

Engineer, Machine Learning

New York, NY

Full-time

Onsite

Mid Level

$175K/yr - $195K/yr

3+ years exp

Link Logistics is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate. As a Machine Learning Engineer, you will be responsible for productionizing supervised and unsupervised models, optimizing pipelines, and collaborating with various teams to enhance their machine learning and analytical solutions.

Commercial Real EstateLogisticsSupply Chain ManagementWarehousing

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Implement and manage MLOps practices to automate and streamline the machine learning lifecycle, ensuring fast and reliable ML model deployment and monitoring

Monitor, update, and maintain the performance and reliability of deployed models

Implement testing and validation processes to ensure the reliability and effectiveness of models

Work hand-in-hand with Data Scientists and other teams to productionize their ML and analytical solutions

Collaborate with the Customer Experience, Research and Sustainability teams, as well as data engineers and other analysts

Proactively bring your experience to bear in conversation with technical and non-technical stakeholders

Qualification

MLOpsPythonSparkSQLMachine Learning frameworksProblem SolvingCollaborationCommunication

Required

3-5 years of success in ML/AI and production pipelines and in employing MLOps tools and practices

Experience with metric building, monitoring and maintaining ML pipelines in production environments

Deep expertise in Python, Spark, Spark Scala, or R

Experience with scalable distributed systems

Ability to identify technical hurdles, and proactively build or suggest solutions

Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills

Deep expertise in some combination of these languages Python, Pyspark, Spark Scala, R

Hands-on experience with ML frameworks (e.g. TensorFlow, Scikit-learn, etc)

Strong SQL skills for querying databases, performing data analysis, and generating insights

Experience with MLOps tools and platforms to automate ML workflows

Experience using cloud platforms such as MS Azure

Monitoring and maintenance of ML pipelines

Bachelor's degree in Computer Science, Data Science, Statistics, or related field, or equivalent work experience

Preferred

Masters Preferred

Benefits

Health insurance coverage

Retirement savings plan

Paid holidays

Paid time off

Company

Link Logistics

Link Logistics is a leading operator of last-mile industrial real estate and warehouse properties.

Founded in 2019

New York, New York, USA

1001-5000 employees

https://www.linklogistics.com/

H1B Sponsorship

Link Logistics has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2022 (1)