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 looking for a
remote Senior Machine Learning Engineer to join our team and work on an exciting project involving Amazon Web Services. The project requires the development and deployment of Machine Learning (ML) models using various AWS components and tools. As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and implementing ML models, along with managing the entire ML lifecycle. You will also work closely with cross-functional teams and stakeholders to deliver high-quality ML solutions that meet business requirements.
Responsibilities
- Design, develop, and implement ML models using AWS components and tools, such as Amazon SageMaker
- Manage the entire ML lifecycle, from data preparation to model deployment and monitoring
- Work with cross-functional teams and stakeholders to understand business requirements and deliver high-quality ML solutions that meet those requirements
- Develop and maintain ML documentation, such as model design, training, and testing results
- Keep up-to-date with the latest ML technologies and trends, and apply them to improve existing ML solutions
- Collaborate with the team members to enhance technical and soft skills
Requirements
- Minimum of 3 years of experience in Machine Learning Engineering
- Proven experience in designing and deploying ML models using Amazon SageMaker and AWS ecosystem
- Expertise in Python
- Proficiency with entire ML lifecycle, from data preparation to model deployment and monitoring
- Experience in working with cross-functional teams and stakeholders to deliver high-quality ML solutions
- Strong communication skills, able to convey technical concepts to non-technical stakeholders
- Fluent in English language, with at least an upper-intermediate level competency for effective communication with the team and stakeholders
Nice to have
- Experience in building model artifacts and deploying them to the 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.
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