Offer summary

Qualifications:

Master’s degree in Computer Science, 3 years of experience in MLOps, Strong programming skills in Python, Scala, Java, Hands-on experience with AWS and Databricks.

Key responsabilities:

Focus on model deployments and performance monitoring

Design and implement CI/CD pipelines for ML models

Job description

Company Overview:
Req ID: 300992
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

Job Description:

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

You Bring:

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 Qualifications:

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

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

The starting hourly range for this remote role is ($85.00 to $110.00/hourly ). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include 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, and additional voluntary or legally required benefits

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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