Remote Software Engineer Jobs

Job Responsibilities : Staff Software Engineer

Salary : ₹53,60,000 – ₹80,40,000 a year

Company : Indeed

Location : Remote IN

Your Job

The ML Platform team is enabling internal data science teams to build and optimize their data science workflows and provide predictive & prescriptive analytics across channels and geographies at scale. We are looking to hire ML engineers to help create an industry-leading ML Platform that democratizes data science reduces time to market and enhances the accuracy and preciseness of models built across Indeed. We are looking for motivated engineers with a solid foundation for Machine Learning/ Deep Learning architecture & service development experience.
Responsibilities:

  • Design and develop state-of-art ML model development and orchestration framework
  • Design optimal Model run-time instances to improve model run-time cut-down compute cost
  • Build ML tools and framework that accelerate Data science experimentation. Collaborate with Data Science team to influence the scope capabilities and roadmap of ML Platform
  • Articulate and document best practices and design principles to mentor other developers
  • Evaluate open source and proprietary technologies and present recommendations to automate machine learning workflows – model training versioned experimentation digital feedback and monitoring.
  • Build MLOps pipelines to support development experimentation continuous integration continuous delivery verification/validation and monitoring of AI/ML models

Who You Are

  • 4+ years experience programming with at least one of the following languages: Python Scala or Java
  • Experience in developing ML pipelines on various frameworks on AWS Azure GCP or Databricks
  • Strong knowledge in one of machine learning design principles MLOps best practices or Big Data architectures. Exposure to distributed machine learning frameworks – PyTorch Dask Spark ML etc
  • Experience in model monitoring explainability model management version tracking and AI governance
  • Experience in cloud based solutioning and managing enterprise grade end to end machine learning solutions with automated pipelines for data processing feature engineering training evaluation deployment integration and monitoring
  • Hands-on experience with Docker Kubernetes and machine learning tools like Azure Machine Learning Amazon Sagemaker MLFlow KubeFlow etc. in production
  • Experience with datastores such as: MySQL/Postgresql Redis Mongo ElasticSearch Microservices and REST APIs

Who we are

The Enterprise business organization is focused on delivering value for Indeed’s largest customers. We are driven by Indeed’s mission to help all people get jobs by helping enterprise employers make the best hires at scale. Our work is very important to us as Enterprise employers are consistently rated among the top places to work globally. Our approach is multi-faceted with many dedicated product and engineering professionals driving innovation with our biggest clients in mind.

Our Mission

As the world’s number 1 job site* our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We’re looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*comScore Total Visits September 2021)

Salary Range Disclaimer

The base salary range represents the low and high end of the Indeed salary range for this position. Actual salaries will vary depending on factors including but not limited to location experience and performance. The range listed is just one component of Indeed’s total compensation package for employees. Other rewards may include quarterly bonuses Restricted Stock Units (RSUs) an open Paid Time Off policy and many region-specific benefits.

Salary Range Transparency

India 5360000 – 8040000 INR per year

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to creating a workplace and global community where inclusion is not only valued but prioritized. We’re proud to be an equal opportunity employer seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race color religion sex gender identity or expression family status marital status sexual orientation national origin genetics neurodiversity disability age or any other non-merit based or legally protected grounds.

Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation please contact Talent Attraction Help at +91 0080091 90627 or by email at TAhelp@indeed.com at least one week in advance of your interview.


Our Policies and Benefits

View Indeed’s Applicant Privacy and Accessibility Policies – https://www.indeed.com/legal/indeed-jobs
Learn about our global employee perks programs and benefits – https://benefits.indeed.jobs/

Reference ID: 39715

Click Here : Apply Now

you're currently offline