Outreach

Staff Machine Learning Engineer, 7-10 years of experience

Outreach

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Lead

Tech Stack

AWSGoJavaMicroservicesPythonScalaSpark

About the role

  • Design, implement, and improve machine learning Systems.
  • Contribute to machine learning applications end to end, i.e. from research to prototype to production.
  • Work with product managers, designers, and customers to define vision and strategy for a given product.

Requirements

  • A hybrid AI engineer who can navigate both sides with little help from others
  • You understand the typical lifecycle of machine learning product development, from inception to production.
  • You have experience in developing and deploying GenAI based applications.
  • Experience with LangChain, LangGraph is a plus
  • You have experience building microservices. Experience with Golang is a plus
  • You have strong programming skills in at least one object-oriented programming language (Java, Scala, C++, Python, Golang, etc.)
  • You have substantial experience with building and managing infrastructure for deploying and running ML models in production
  • You have experience working with distributed data processing frameworks such as Spark. Experience with Spark's MLlib, AWS, Databricks, MLFlow are a plus.
  • You have knowledge in statistics and machine learning and have practical experience applying it to solve real-world problems.
  • You are hands-on, able to quickly pick up new tools and languages, and excited about building things and experimenting.
  • You go above and beyond to help your team
  • You should be able to work alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products.
  • You have degree in Computer Science, Data Science, or a related field, and 7-10 years of industry or equivalent experience.
Benefits
  • We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  • Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningGenAILangChainLangGraphmicroservicesGolangobject-oriented programmingJavaScalaC++Pythoninfrastructure managementdistributed data processingSparkMLlibAWSDatabricksMLFlowstatistics
Soft skills
collaborationteamworkproblem-solvingadaptabilitycommunicationhands-oninitiative
Certifications
degree in Computer Sciencedegree in Data Science