Link Logistics · 4 hours ago
Engineer, Machine Learning
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
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
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.
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)
Funding
Current Stage
Late StageRecent News
Morningstar.com
2025-11-04
2025-09-12
Company data provided by crunchbase