Urgent! DATA & AI - Ops - Engineer Job Opportunity in Bengaluru, India – Now Hiring DXC Technology

Job description

Job Description:

Job Description – Data & AI Ops Engineer (MLOps Engineer)
Role Overview
We are looking for an experienced Data & AI Ops Engineer with expertise in MLOps, Data Engineering, and ML deployment pipelines.

The role involves designing, automating, and optimizing end-to-end ML workflows — from data preparation to model training, deployment, monitoring, and lifecycle management — across Azure ML, AWS SageMaker, and Google Vertex AI.

The ideal candidate will bring strong skills in Python, PySpark, SQL, CI/CD, and containerization, along with hands-on experience in model serving, monitoring, and optimization.
Key Responsibilities
ML Development & Deployment
Implement and manage end-to-end ML pipelines using Azure ML Pipelines, Kubeflow Pipelines, and MLflow.
Support model development with scikit-learn, TensorFlow, and PyTorch, including training, tuning, and serialization (pickle, ONNX, TorchScript).
Deploy models into production using Docker, Azure ML, AWS SageMaker, and Vertex AI with scalable serving frameworks.
MLOps & Automation
Develop CI/CD pipelines for ML workflows using GitHub Actions, MLflow CI/CD integrations, and container registries.
Implement continuous training (CT), continuous integration (CI), and continuous delivery (CD) practices for ML systems.
Automate data ingestion, preprocessing, and feature pipelines with PySpark and SQL.
Model Monitoring & Optimization
Monitor model performance, drift, and data quality in production environments.
Implement logging, alerting, and observability for ML models and pipelines.
Optimize inference performance with ONNX, TorchScript, and TensorRT (optional).
Collaboration & Governance
Partner with Data Scientists, Data Engineers, and DevOps teams to integrate ML models into business workflows.
Ensure compliance with data governance, security, and regulatory policies.
Contribute to the standardization of MLOps frameworks, best practices, and reusable components.
Required Skills & Qualifications
7+ years of experience in Data/AI Engineering, with 3–5 years in MLOps.
Strong programming skills in Python, PySpark, SQL.
Expertise in ML frameworks: scikit-learn, TensorFlow, PyTorch.
Experience with model serialization formats (pickle, ONNX, TorchScript).
Hands-on with CI/CD tools: GitHub Actions, MLflow CI/CD, Kubeflow Pipelines, Azure ML Pipelines.
Experience deploying ML models on Azure ML, AWS SageMaker, and Vertex AI.
Proficiency in Docker and containerized deployments.
Preferred Skills
Familiarity with Kubernetes for scaling ML workloads.
Experience with feature stores and monitoring tools (Feast, WhyLabs, Evidently AI, Prometheus, Grafana).
Knowledge of data governance and compliance (GDPR, HIPAA, etc.).
Exposure to large-scale distributed systems and real-time inference.

At DXC Technology, we believe strong connections and community are key to our success.

Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.

We’re committed to fostering an inclusive environment where everyone can thrive.

Required Skill Profession

DXC Technology interview tips for DATA & AI Ops Engineer

Here are some tips to help you prepare for and ace your DATA & AI Ops Engineer job interview:

Before the Interview:

Research: Learn about the DXC Technology's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your DATA & AI Ops Engineer interview at DXC Technology, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the DXC Technology's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

DATA & AI Ops Engineer

Job description

Company: DXC Technology

Location: Bengaluru, Karnataka, India

Job Type: Full-time

Salary: Undisclosed

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