Remote Machine Learning Engineer
Company Overview:
Req ID: 300990
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.
We are currently seeking a Remote Machine Learning Engineer to join our team in Plano, Texas (US-TX), United States (US).
Job Description:
Focus on ML system iteration and performance measurement
Iterate on existing ML models built for high-impact game recommendation and personalization applications, by benchmarking and adding new features to the model, tuning the blending of multiple models predictions, and enhancing model inference efficiency
Iterate on existing offline and online evaluation metrics, and study the correlations between metrics
Evaluate model performance by running suites of metrics in offline evaluation, as well as using online experiment data, and performing subgroup analysis, to help the team find the next improvement area that will gain maximum KPI lift
Enhance the explainability of models running in production, providing additional insights for our product and business partners to better use our models and make a better roadmap
Collaborate with existing machine learning engineers and data scientists and backend engineers from cross-functional teams
You Bring:
Advanced degree (Masters or Ph.D.) in Computer Science/Statistics/Data Science, specializing in machine learning
3+ years of industry experience working in ML/DS teams (pls dont include years in a research group or R&D team)
Strong programming skills in languages such as Python, Scala, with proficiency in machine learning libraries and frameworks like TensorFlow, PySpark.
Hands-on Experience in Databricks
Proven track record of successfully delivering large-scale commercial machine-learning products from conception to production
Excellent problem-solving skills and analytical skills
Expertise in recommendation algorithms
Experience with software engineering principles, and use of cloud services like AWS
Preferred Qualifications:
Experience in Snowflake, Kubeflow, Tecton, Jenkins
Experience analyzing large-scale data and delivering insights
Experience in building 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 machine learning, A/B test analysis and casual inference
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $100.00 - $115.00/Hour. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidates 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 including medical, dental, and vision insurance with an employer contribution, 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.
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
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 youd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Apply Now
Req ID: 300990
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.
We are currently seeking a Remote Machine Learning Engineer to join our team in Plano, Texas (US-TX), United States (US).
Job Description:
Focus on ML system iteration and performance measurement
Iterate on existing ML models built for high-impact game recommendation and personalization applications, by benchmarking and adding new features to the model, tuning the blending of multiple models predictions, and enhancing model inference efficiency
Iterate on existing offline and online evaluation metrics, and study the correlations between metrics
Evaluate model performance by running suites of metrics in offline evaluation, as well as using online experiment data, and performing subgroup analysis, to help the team find the next improvement area that will gain maximum KPI lift
Enhance the explainability of models running in production, providing additional insights for our product and business partners to better use our models and make a better roadmap
Collaborate with existing machine learning engineers and data scientists and backend engineers from cross-functional teams
You Bring:
Advanced degree (Masters or Ph.D.) in Computer Science/Statistics/Data Science, specializing in machine learning
3+ years of industry experience working in ML/DS teams (pls dont include years in a research group or R&D team)
Strong programming skills in languages such as Python, Scala, with proficiency in machine learning libraries and frameworks like TensorFlow, PySpark.
Hands-on Experience in Databricks
Proven track record of successfully delivering large-scale commercial machine-learning products from conception to production
Excellent problem-solving skills and analytical skills
Expertise in recommendation algorithms
Experience with software engineering principles, and use of cloud services like AWS
Preferred Qualifications:
Experience in Snowflake, Kubeflow, Tecton, Jenkins
Experience analyzing large-scale data and delivering insights
Experience in building 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 machine learning, A/B test analysis and casual inference
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $100.00 - $115.00/Hour. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidates 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 including medical, dental, and vision insurance with an employer contribution, 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.
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
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 youd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Apply Now