Data & AI - ML Engineer at DXC Technology

Bengaluru, Karnataka, India

DXC Technology Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries

Requirements

  • 10+ years of IT experience with hands-on ML/AI engineering
  • Expertise in core ML frameworks: pandas, NumPy, scikit-learn, PySpark
  • Expertise in advanced algorithms/libraries: XGBoost, LightGBM, CatBoost
  • Expertise in deep learning: TensorFlow, Keras, PyTorch
  • Expertise in model optimization & serving: ONNX, TensorRT, TensorFlow Serving, TorchServe
  • Strong knowledge of MLOps tools: MLflow, Kubeflow, Azure ML Pipelines
  • Hands-on experience with cloud environments (Azure, AWS, GCP) and container orchestration (Kubernetes)
  • Proven experience in leading ML projects, mentoring teams, and deploying production AI systems

Responsibilities

  • Build, train, and optimize models using scikit-learn, PyTorch, TensorFlow, Keras, XGBoost, LightGBM, and CatBoost
  • Develop and test features using pandas, NumPy, and PySpark for large-scale datasets
  • Apply advanced techniques for hyperparameter tuning, model interpretability, and ensemble methods
  • Deploy models to production using TensorFlow Serving, TorchServe, and ONNX/TensorRT for optimized inference
  • Design scalable APIs and endpoints for real-time and batch prediction services
  • Implement containerized deployments (Docker, Kubernetes) for portability and scalability
  • Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines
  • Implement model versioning, tracking, and experiment management
  • Establish CI/CD workflows for ML models, ensuring reproducibility and continuous improvement
  • Optimize models for latency, throughput, and cost efficiency in production environments
  • Use ONNX/TensorRT for inference acceleration and cross-platform model deployment
  • Monitor deployed models for drift, bias, and performance degradation
  • Lead and mentor ML engineers and data scientists on best practices in ML and MLOps
  • Collaborate with data engineering teams to ensure seamless integration with pipelines
  • Partner with product managers and business stakeholders to design scalable AI-driven solutions

Skills

scikit-learn
PyTorch
TensorFlow
Keras
XGBoost
LightGBM
CatBoost
pandas
NumPy
PySpark
MLflow
Kubeflow
Azure ML Pipelines
Docker
Kubernetes
TensorFlow Serving
TorchServe
ONNX
TensorRT

DXC Technology

IT services for enterprise modernization and management

About DXC Technology

DXC Technology provides IT services to large enterprises, focusing on modernizing their critical systems and operations. The company uses the Enterprise Technology Stack to enhance IT infrastructure, optimize data architectures, and ensure security across various cloud environments, including public, private, and hybrid. DXC operates on a contractual basis, offering consulting, system integration, and managed services to help clients improve their IT operations. What sets DXC apart from competitors is its strong commitment to innovation, sustainability, and corporate responsibility, which has earned it recognition as one of the Most Responsible Companies. The goal of DXC Technology is to be a trusted partner for enterprises, helping them achieve scalable and secure IT solutions while promoting inclusion and diversity within its workforce.

McLean, VirginiaHeadquarters
2017Year Founded
$14.6MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees

Risks

Emerging IT service providers offer cost-effective solutions, threatening DXC's market share.
Rapid technological changes may outpace DXC's innovation, risking service obsolescence.
Economic downturns could reduce IT spending, impacting DXC's long-term contract revenue.

Differentiation

DXC Technology is a Fortune 500 global IT services leader.
The company specializes in modernizing mission-critical systems for large enterprises.
DXC's Enterprise Technology Stack ensures security and scalability across cloud environments.

Upsides

DXC is recognized as a leader in the 2024 Magic Quadrant for Outsourced Digital Workplace Services.
The Quercus AI platform collaboration with Ferrovial and Microsoft enhances DXC's innovation capabilities.
DXC's role in transforming Italy's healthcare sector showcases its expertise in digital transformation.

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