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Function
We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on achieving the incredible with data.
If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data.
About Us
We’reHitachi Vantara, a global infrastructure business. Our people are the force of meaningful progress. We enable theincredible with data –from taking theme park fans on magical rides, conserving natural resources, protecting rainforests to saving lives. We empower businesses to automate,optimize, and advance innovation. Together, we create a sustainable future for all.
Imagine the sheer breadth of talent it takes to inspire the future. Wedon’texpect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achievinggreat thingsin the world are equally important to us.
Role Overview
Hitachi Vantara is seeking anAI SDETto join our Global Quality Assurance team. In this role, you will design and execute test strategies forAI‑drivensystems, includingLLM‑poweredfeatures, machine learning components, and intelligent automation workflows.
You will collaborate closely with product teams, data scientists, ML engineers, and platform teams tovalidateAI behavior across the full lifecycle—from data ingestion and model inference to system integration anduser‑facingfunctionality. This includes evaluating model outputs, ensuring reliability and safety,validatingdata pipelines, and building tooling that supports predictable,high‑qualityAI experiences.
This role is ideal for an engineer who enjoys blending software testing, system integration, and applied AI behavior analysis.
Experience:7–10+ Years
Job Location:Kolkata, India preferred
Key Responsibilities
AI System Validation:Test andvalidateAI/ML features across internal models, embedded AI components, and integrated AI services.
Model Behavior Evaluation:Assess model inference quality, prompt/response behavior, performance, safety, and robustness across diverse scenarios.
Data Pipeline & Schema Verification:Validatedata contracts, feature schemas, and payload structures used by AI models and downstream systems.
End‑to‑EndWorkflow Testing:EnsureAI‑drivenworkflows function reliably across internal components, orchestration layers, anduser‑facingapplications.
Tooling & Automation:Build tools to simulate AI behavior, automate evaluation workflows, generate test datasets, and support continuous validation.
AI Quality & Reliability:Identifyedge cases, failure modes, drift indicators, and quality gaps inAI‑poweredfeatures.
Security & Responsible AI Checks:Validatecompliance with security, privacy, fairness, and responsible AI guidelines.
Cross‑FunctionalCollaboration:Work with product, engineering, and data science teams to troubleshoot issues,validatefixes, and improve AI feature readiness.
Documentation:Produce clear documentation for AI test plans, expected behaviors, evaluation criteria, and validation procedures.
Continuous Improvement:Propose enhancements to improve AI reliability, observability, and test coverage across the lifecycle.
Required Skills
7–10+ years of experience in software testing or SDET roles, with 2+ years focused on AI/ML systems.
StrongproficiencyinPythonfor test development, data validation, andevaluationtooling.
Strong foundational knowledge ofstorage technologies, such as block storage, object storage (S3‑compatible systems), NFS, or distributed file systems.
KnowledgeofHitachi products such as VSP360 ,OpsCenter will be an added advantage.
Experience with AI/ML frameworks or platforms such asPyTorch, TensorFlow,Scikit‑learn, Hugging Face, Azure AI, AWS AI/ML, or Google Vertex AI.
Understanding of AI/ML concepts including:
model inference behavior
evaluation metrics
prompt/response quality
drift, bias, and fairness considerations
Experience testingLLM‑basedsystems orML‑poweredfeatures.
Familiarity withMLOpstools and workflows (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).
Strong understanding of QA methodologies, SDLC, and agile practices.
Experience with Linux/UNIX environments and containerized workflows (Docker).
Excellent communication skills and ability to collaborate across global teams.
Preferred Qualifications (AI‑FocusedCertifications)
Microsoft Certified: Azure AI Engineer Associate
AWS Certified Machine Learning – Specialty
Google Professional Machine Learning Engineer
NVIDIA Deep Learning Institute Certifications (LLMs, generative AI, computer vision)
TensorFlow Developer Certificate
Hugging Face NLP/LLM Certifications
ISTQB Certified Tester – AI Testing
Certified Kubernetes Administrator (CKA) or CKAD
#LI SP7
We’re a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.
Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.
We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
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