remote machine learning job description
- Develop machine learning models using Amazon SageMaker and other AWS technologies
- Collaborate with cross-functional teams to identify business opportunities and translate them into machine learning problems
- Work with massive datasets and distributed computing frameworks such as Spark or Hadoop to develop and test machine learning models
- Deploy machine learning models to production using AWS technologies
- Monitor model performance and make necessary changes to improve accuracy and efficiency
- Contribute to the continuous improvement of the ML lifecycle and the development of best practices
- Communicate effectively with stakeholders to ensure that ML solutions meet business requirements
- At least 2 years of experience developing machine learning models
- Expertise with Amazon SageMaker and other AWS technologies
- Experience with the end-to-end ML lifecycle, including data preparation, model training, and deployment
- Proficiency with Python and its associated libraries
- Good understanding of software engineering principles and experience with software development best practices
- Upper-Intermediate level of English proficiency
- Experience in building model artefacts and deployment to AWS ecosystem
explore our machine learning India remote jobs
Machine Learning Engineering
Amazon SageMaker, Amazon Web Services, Python
40 hrs/week
12+ months
India We are looking for a remote Senior Machine Learning Engineer to join our team and work on an exciting project involving Amazon Web Services.
Machine Learning Engineering
Amazon SageMaker, Amazon Web Services, Python
40 hrs/week
12+ months
Machine Learning Engineering
Amazon SageMaker, Amazon Web Services, Python
40 hrs/week
12+ months
India We are seeking a remote Middle Machine Learning Engineer to join our team and work on a cutting-edge project that leverages the latest Amazon Web Services technologies.
Machine Learning Engineering
Amazon SageMaker, Amazon Web Services, Python
40 hrs/week
12+ months
why apply for our remote machine learning job in India
Remote forever
Build your work around your lifestyle with jobs that are remote by design.
Competitive compensation
Receive a salary on par with global market rates, with pay reviews as you continuously grow.
Long-term projects
Plan your life and career for years ahead with full-time, long-term projects.
Social protection
Access all the benefits you deserve — including health insurance, paid leave, stable income, and more depending on your location.
Guided career growth
Find your mentor among our Skill Advisors and grow your career towards clear and manageable goals.
Individual project matching
Choose the right project for you with the help of a personal project matching coordinator.
Free learning
Access the hundreds of free courses, training programs and certification support resources available at Anywhere.
Anywhere Club
Join our learning and professional networking hub right after successfully passing the Technical Interview.
our webinars
how to apply for the machine learning in India role
Browse open positions at Anywhere and find the one that fits your expertise and career goals. You can also share your CV, and our recruitment team will suggest the most suitable job for you.
Send us your application, and the Anywhere recruitment team will promptly review it and get back to you. When signed in, you can monitor your application progress in your profile.
With your application successfully reviewed, it’s now time to shine during the interviews. You’ll start with the general one with the recruiter. Next, you’ll showcase your skills at the technical interview, and then discuss final details at the offer interview.
After you accept the offer, we will move on with the onboarding process and the paperwork. Then you’ll be matched with a project that fits your professional goals and aspirations best. Apply now to speed up your exciting new start at Anywhere!
our trainings
faq
who can apply?
in which locations are you looking for candidates?
how quickly will you review my application?
how can I speed up the process?
why was my application rejected?
why was I rejected without even a general talk?
latest machine learning insights
