0 years

4 - 7 Lacs

Posted:1 week ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Machine Learning Engineer – AWS Workflow Specialist - keen to get a get a really good MLE.
Machine Learning Engineer with experience in designing, building, and deploying end-to-end ML workflows on AWS, utilising SageMaker Pipelines and SageMaker Endpoints.
Deep understanding of core AWS services including S3, KMS , Lambda , Secrets Manager and CI/CD tools such as CodeBuild and CodePipeline to automate deployments.
Skilled in orchestrating complex workflows with Airflow and integrating streaming data from Kafka. Short Description of the Job
Deploy, automate, maintain and monitor machine learning models and algorithms to ensure that that they work effectively in a production environment.
Key Responsibilities
Understand the needs of business stakeholders, and how machine learning solutions can meet those needs in order to support the achievement of business strategy
Work collaboratively with colleagues to productionise machine learning models including pipeline design and development, testing and deployment ensuring that the original intent and knowledge is carried over to production
Create frameworks to ensure robust monitoring of machine learning models within production environment ensuring models are delivering expected quality and performance, understanding and addressing any shortfalls for example through retraining
Work in an agile way within multi-disciplinary data and analytics teams to achieve agree

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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Virtusa

Information Technology and Services

Southborough

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