Job Description

Please note that we will be communicating with you using the email address associated with your LinkedIn application. It is important that you check this email regularly for updates on your application status.

Please ensure that you have listed all relevant skills for this position in your resume prior to applying for it.

We are looking for the candidates with 4+ years of relevant experience.

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. As a member of our team, you will be responsible for the development and deployment of machine learning models that will be used to solve some of the most challenging problems in the industry. You should have a deep understanding of the entire ML lifecycle, including data preparation, model training, and deployment.

Responsibilities

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

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

Nice to have

Experience in building model artefacts and deployment to AWS ecosystem

We offer

Insurance Coverage
Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves.
Financial assistance for medical crisis
Retiral Benefits – VPF and NPS
Customized Mindfulness and Wellness programs
EPAM Hobby Clubs
Hybrid Work Model
Soft loans to set up workspace at home
Stable workload
Relocation opportunities with ‘EPAM without Borders’ program
Certification trainings for technical and soft skills
Access to unlimited LinkedIn Learning platform
Access to internal learning programs set up by world class trainers
Community networking and idea creation platforms
Mentorship programs
Self-driven career progression tool

This is a remote position and we welcome applications from anywhere in India.

Once you apply, you'll receive a confirmation email with a link to our platform. Sign up with this link to automate your pre-screening, be able to monitor your application statuses, and enjoy a faster job application process.

We accept CVs in English only.

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.