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Senior ML Engineer

Full Time

PackageX is modernizing the way logistics is done.

We believe logistics shouldn't be a black box. PackageX helps businesses to stop flying blind and relying on point solutions and outdated logistics systems that don't talk to each other. PackageX lets customers gain control of their logistics operations across shipping, tracking, storage, delivery, and receiving on a unified platform to improve efficiency, sky-rocket growth, and meet fast-changing end-customer expectations.

We're a seedstage tech startup based in New York City with a distributed global team. We’re backed by Sierra Ventures, Ludlow Ventures, MXV Capital, Pareto Holdings, and other strategic investors and angels.

We're always looking for talented humans who want to challenge the status quo and join us on the journey in building the future of logistics alongside us.

What we are looking for

As a Senior ML Engineer, you would help us to create and improve our PackageX products portfolio. You would need exceptional skills in programming and also have knowledge of data science, big data, and software engineering. You are always on the lookout to unlock and maximize your real potential.

You will

  • Build scalable, efficient, and high-performance software around our data analytics platform to help us expand its reporting and analytics capabilities.
  • Build out frameworks and services for our Machine Learning services, systems, and dashboards.
  • Interact with business users, other development, and testing teams.
  • Follow coding best practices-Unit testing, design/code reviews, code coverage, documentation,etc.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.
  • Work with and help implement data models created by data scientists.

We are looking for someone who has

  • Extensive expertise in Django.
  • Expertise in Python, Conda, PIP, SQL, Pandas, and NumPy.
  • Worked with Github, Microsoft SQL Server/MongoDB or other Database platform, AWS.
  • Worked with automated build tools.
  • Been part of a distributed software engineering team.
  • Some experience with big data technologies such as Kafka, Spark, and others.
  • Experience with Data Warehousing, ETL Pipelines, large complex data sets, complex SQL queries.
  • Desire to bring new and innovative solutions to the table to resolve challenging software issues as they may develop throughout the product lifecycle.
  • Experience with Agile / Scrum development processes.
  • Experience with RESTful APIs and server-side APIs integration.
  • Sound knowledge of repeatable automated processes for building, testing, documenting and deploying an application at scale.
  • Expertise in operational data stores and real-time data integration.
  • Excellent communication and interpersonal skills, taking the initiative to recommend and develop innovative solutions.
  • Expertise in Docker or other containerization software.

Why choose us

We are a global team of hustlers who challenge status-quo to build something great and meaningful for the customers we serve. We strongly believe that our product innovation, speed to service/support, and partnership mindset sets us apart from the fragmented competition and available legacy systems. Our leadership, advisors, and investors have extensive experience in building, supporting, and scaling tech companies in logistics, retail, CRM, media, and consulting. We have got all it takes to build an enterprise of the future.

We are an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.

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