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Sr. Serverless Machine Learning Engineer

| Greater Boston Area

POSITION SUMMARY: This position is responsible for cloud technologies in varied environments, including, but not limited to, AWS and Google Cloud Platforms. The Senior Serverless Machine Learning Engineer will focus on designing and developing automation to support continuous delivery, continuous integration processes, size and cost optimization using dynamic autoscaling techniques. The role will provide an enthusiastic focus on automation in a fully Serverless or managed services environment

ESSENTIAL FUNCTIONS:

* Build highly parallelized, big data, machine-learning applications in the cloud.
* Design and code highly scalable, machine learning applications processing large volumes of data using serverless technologies on AWS and GCP
* Collaborate with other Machine Learning Engineers and Data Scientists in crafting and implementing your technical vision.
* Should be able to use various databases such as DynamoDB, Redshift, Aurora, Firebase, Spanner, BigQuery
* Strong understanding and working knowledge of Streaming solutions like Kinesis, IoT
* Follow agile processes with a focus on delivering production-ready testable code in small iterations.
* Participate in the entire development lifecycle, from concept to release.
* Participate in all phases of quality assurance and defect resolution.

KNOWLEDGE, SKILLS AND ABILITIES:

EDUCATION
Bachelor's Degree in Computer Science or equivalent required; Masters Degree in Computer Science or equivalent preferred;

EXPERIENCE
* 2+ years software development experience with highly scalable systems involving machine learning and big data.
* Expertise in Serverless stacks.
* Expertise with data analysis languages such as Python, Scala, or R.
* Experience with Hadoop and Spark is a plus.
* Experience with a Cloud Computing Platform (such as AWS, Google Cloud)
* Experience with modern source control (Git)

Requirements

EDUCATION: Bachelor's Degree in Computer Science or equivalent required; Masters Degree in Computer Science or equivalent preferred

EXPERIENCE:

* 2+ years software development experience with highly scalable systems involving machine learning and big data.
* Expertise in Serverless stacks.
* Expertise with data analysis languages such as Python, Scala, or R.
* Experience with Hadoop and Spark is a plus.
* Experience with a Cloud Computing Platform (such as AWS, Google Cloud)
* Experience with modern source control (Git)

WORKING RELATIONSHIPS: Interacts with management and staff within the organization.

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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • .NETLanguages
    • GolangLanguages
    • JavaLanguages
    • JavascriptLanguages
    • PerlLanguages
    • PythonLanguages
    • ScalaLanguages
    • D3JSLibraries
    • jQueryLibraries
    • jQuery UILibraries
    • ReactLibraries
    • Twitter BootstrapLibraries
    • Backbone.jsFrameworks
    • FlaskFrameworks
    • Node.jsFrameworks
    • Ruby on RailsFrameworks
    • MongoDBDatabases
    • PostgreSQLDatabases
    • RedisDatabases
    • SQLiteDatabases
    • Google AnalyticsAnalytics
    • OptimizelyAnalytics
    • IllustratorDesign
    • InVisionDesign
    • PhotoshopDesign
    • SketchDesign
    • Aha!Management
    • ConfluenceManagement
    • TrelloManagement
    • DrupalCMS
    • WordpressCMS
    • HubSpotCRM
    • Microsoft DynamicsCRM
    • SalesforceCRM
    • ZohoCRM

Location

We are located in Medford, MA, right at Wellington Station with close access to the MBTA, I-93, Assembly Row, and a stones throw away from Boston.

An Insider's view of Agero

What projects are you most excited about?

“We're passionate about making the roads safer with our Driver360 mobile platform. We’ve developed crash detection technology that helps people when they're most in need, and we're using billions of miles of driving data to study crash risk factors and find ways to help people avoid crashing in the first place.”

Michael

Sr Data Scientist, Business Intelligence

How has your career grown since starting at the company?

Agero has provided me the opportunity to work on a number of different products and technologies, from call center to in-vehicle Telematics to web and mobile products. Additionally, I’ve had leadership positions with several groups, including PMO, QA, and now Product Management, which has allowed me to learn and grow throughout my tenure.

Luke

VP, Project Management

What's the biggest problem your team is solving?

Our Engineering/IT teams are moving to the Amazon AWS cloud, which involves a lift/shift for some applications as well as rewriting other applications to be more micro service orientated. This effort is a huge transformation which includes new roles, training and re-thinking how IT operates as a cloud service organization.

Karen

Director, DevOps

What are Agero Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Onsite Gym
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Child Care & Parental Leave Benefits
Flexible Work Schedule
Vacation & Time Off Benefits
Paid Volunteer Time
Perks & Discounts
Casual Dress
Commuter Benefits
Game Room
Happy Hours
Parking
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement

Additional Perks + Benefits

We’ve got the benefits you’re use to and some you aren’t – including flexible health and dental care from your choice of doctors. We take care of the time off and allow you to make decisions about how much you want to carry over from year to year so you can recharge your batteries and achieve harmony both inside and outside of the workplace. How many places set you up with laptops and two monitors as standard fare? We’ve got more discounts and perks than you can count on 2 hands – and they are meaningful!

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