MLOps Engineer @ NTT DATA North America | Jobright.ai
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NTT DATA North America · 9 hours ago

MLOps Engineer

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Responsibilities

Focus on model deployments & performance monitoring, training & inference cost optimizations, tech stack upgrades & migrations
Design, improve, and implement best practices in continuous integration and delivery pipelines to speed the rate at which our machine learning engineers can go from ideation to operationalizing machine learning models in a repeatable manner
Setup new model training pipelines ensuring proper tagging, monitoring, alerting, and logging are in place
Deploy projects into a streamlined environment strategy ensuring they can take advantage of best practices
Identify cost savings in areas where computation and storage utilized for model training and inference can be optimized
Support existing day to day requests through our service desk raised by our platform's customers to quickly provide access, unblock issues, and provide general guidance on best platform practices and patterns
Collaborate with existing machine learning engineers, data scientists and ML platform engineers from cross-functional teams

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

MLOps experiencePythonAWS ecosystemDatabricksMlFlowSeldonGitDockerKubernetesJenkinsPrometheusGrafanaScalaJavaDevOps best practicesCI/CD toolingSnowflakeKubeflowTecton

Required

Advanced degree (Master’s or above) in Computer Science, specializing in software engineering or platform engineering
3 years of industry experience working in MLOps position
Strong programming skills in languages such as Python, Scala, and Java
Hands-on Experience in Databricks, mlFlow, Seldon
Excellent problem-solving skills and analytical skills
Deep knowledge of the AWS ecosystem
Expertise in Git, Docker, Kubernetes, Jenkins, Prometheus, and Grafana

Preferred

Experience in supporting as platform engineer, large-scale online customer-facing ML applications, preferably recommendation systems
Experience working with custom ML platforms, feature store, and monitoring ML models
Familiarity with best practices in DevOps, MLOps
Knowledge of additional CI/CD tooling such as Prow, Bazel, and ArgoCD
Experience in Snowflake, Kubeflow, Tecton

Benefits

Medical, dental, and vision insurance
Flexible spending or health savings account
Life, and AD&D insurance
Short-and long-term disability coverage
Paid time off
Employee assistance
Participation in a 401k program with company match
Additional voluntary or legally required benefits

Company

NTT DATA North America

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NTT DATA, Inc. is a trusted global innovator of business and technology services.

H1B Sponsorship

NTT DATA North America has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (185)
2022 (731)
2021 (838)
2020 (1190)

Funding

Current Stage
Late Stage

Leadership Team

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Bob Pryor
Chief Executive Officer
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Bonnie Holub
VP Consulting
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Company data provided by crunchbase
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