AI SDET

Reposted 13 Days Ago
Be an Early Applicant
Kolkata, West Bengal, IND
In-Office
Senior level
Fintech • Information Technology • Logistics
The Role
As an AI SDET, you will validate AI systems, evaluate model behavior, ensure workflow reliability, build testing tools, and collaborate with teams on AI features.
Summary Generated by Built In

Function

QualityOur Company

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.

Job description

About Us 

We’re Hitachi Vantara, a global infrastructure business. Our people are the force of meaningful progress. We enable the incredible 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. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally important to us. 

 

Role Overview 

Hitachi Vantara is seeking an AI SDET to join our Global Quality Assurance team. In this role, you will design and execute test strategies for AIdriven systems, including LLMpowered features, machine learning components, and intelligent automation workflows. 

You will collaborate closely with product teams, data scientists, ML engineers, and platform teams to validate AI behavior across the full lifecycle—from data ingestion and model inference to system integration and userfacing functionality. This includes evaluating model outputs, ensuring reliability and safety, validating data pipelines, and building tooling that supports predictable, highquality AI 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 and validate AI/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: Validate data contracts, feature schemas, and payload structures used by AI models and downstream systems. 

  • EndtoEnd Workflow Testing: Ensure AIdriven workflows function reliably across internal components, orchestration layers, and userfacing applications. 

  • Tooling & Automation: Build tools to simulate AI behavior, automate evaluation workflows, generate test datasets, and support continuous validation. 

  • AI Quality & Reliability: Identify edge cases, failure modes, drift indicators, and quality gaps in AIpowered features. 

  • Security & Responsible AI Checks: Validate compliance with security, privacy, fairness, and responsible AI guidelines. 

  • CrossFunctional Collaboration: Work with product, engineering, and data science teams to troubleshoot issues, validate fixes, 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. 

  • Strong proficiency in Python for test development, data validation, and evaluation tooling. 

  • Strong foundational knowledge of storage technologies, such as block storage, object storage (S3compatible systems), NFS, or distributed file systems. 

  • Knowledge of Hitachi products such as VSP 360 ,Ops Center will be an added advantage. 

  • Experience with AI/ML frameworks or platforms such as PyTorch, TensorFlow, Scikitlearn, 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 testing LLMbased systems or MLpowered features. 

  • Familiarity with MLOps tools 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 (AIFocused Certifications) 

  • 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

About us

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.

Fostering innovation through diverse perspectives

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.

How we look after you

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.

Skills Required

  • 7-10+ years of experience in software testing or SDET roles
  • 2+ years focused on AI/ML systems
  • Strong proficiency in Python
  • Strong foundational knowledge of storage technologies
  • Experience with AI/ML frameworks
  • Understanding of AI/ML concepts
  • Experience testing LLM-based systems or ML-powered features
  • Familiarity with MLOps tools and workflows
  • Strong understanding of QA methodologies and SDLC
  • Experience with Linux/UNIX environments and containerized workflows
  • Excellent communication skills
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The Company
33,676 Employees

What We Do

Since its founding in 1910, Hitachi has responded to the expectations of society and its customers through technology and innovation. Our mission is to “Contribute to society through the development of superior, original technology and products.” Over the past 100+ years this commitment has led us to work towards creating a more sustainable society through our “Social Innovation Business”. We work to apply our expertise in information technology (IT), operational technology (OT), and a wide variety of products to advance social infrastructure systems and improve quality of life across the world.

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