About NTT DATAAt NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.
Role OverviewNTT DATA Services currently seeks a professional to join our team in
Jersey City, New Jersey.As a professional in this role, you will own the infrastructure and operationalization of machine learning and Generative AI systems at scale. This includes building reliable pipelines for training, evaluation, deployment, and monitoring of models in production environments.
What You'll Do - ML/LLMOps Architecture: Design end-to-end pipelines for training and deploying models, including LLM fine-tuning and RAG architectures.
- Deployment & Scaling: Build scalable services using Docker, Kubernetes, and cloud-native tools (AWS/Google Cloud Platform/Azure).
- Pipeline Automation: Develop CI/CD pipelines for ML workflows (GitHub Actions, Jenkins) including automated testing and validation of models.
- Monitoring & Observability: Implement monitoring for model performance, latency, drift, and cost (Prometheus, Grafana, custom metrics).
- Data & Feature Pipelines: Integrate with data platforms (Spark, Kafka, Airflow) and feature stores.
- Cost Optimization: Optimize GPU/compute usage for large-scale model inference and training.
Minimum Skills Required: What You'll Bring - 8 years in software/ML engineering with production systems.
- Strong Python skills and experience building scalable APIs/services.
- Experience with ML platforms (MLflow, SageMaker, Vertex AI).
- Deep understanding of distributed systems and data pipelines.
- Hands-on experience with LLMs, embeddings, and vector databases.
About NTT DATA ServicesNTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
Equal Opportunity EmployerNTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
Compensation and BenefitsWhere required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is
($x - x/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 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.
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