Test Engineer

Job description

Hope you are having a great week. I work for Bison Global Search, and we're currently seeking a Test Engineer-AIML for a leading digital testing firm, They work on some cutting-edge technologies with clients range from growth stage start-ups to unicorns, to fortune 500 firms cutting across industries and covering the latest technologies in digital, cloud and IoT space.

Please find below details about the role :

Location: New Delhi (please do not apply if you are not willing to relocate to Bangalore)

Company: Leading Digital testing firm

Mode of work: Work From Office

Designation: Test Engineer-AIML

Skills Required: Testing AI/ML models and data-driven applications.

Experience: 5+ years

Mode of Interview: 2nd Round F2F interview (Please do not apply if you are not willing to attend a f2f interview in the next 15 days)

Please find below complete JD. if this interests you, Please apply to this email

Job Summary:

5+ years experience in testing AI/ML models and data-driven applications, including

natural language processing (NLP), recommendation engines, fraud detection,

and advanced analytics models.

5+ years experience in testing AI/ML models and data-driven applications, including

natural language processing (NLP), recommendation engines, fraud detection,

and advanced analytics models.

Proven expertise in validating AI models for accuracy, bias, explainability, and

performance to ensure decisions (e.g., bid scoring, supplier ranking, fraud detection) are

fair, reliable, and transparent.

Hands-on experience in data validation and model testing, ensuring training and inference

pipelines align with business requirements and procurement rules.

Strong skills in data science equipped to design test strategies for AI systems, including

boundary testing, adversarial input simulation, and dri monitoring to detect

manipulation aempts by marketplace users (buyers/sellers).

Proficient in data science for defining AI/ML testing frameworks and tools (TensorFlow

Model Analysis, MLflow, PyTest, Python-based data validation libraries, Jupyter) with ability

to integrate into CI/CD pipelines.

Business awareness of marketplace misuse scenarios, such as manipulating

recommendation algorithms, biasing fraud detection systems, or exploiting gaps in

automated scoring.

Education/Certifications: Bachelor's/master's in engineering/CS/IT/Data Science or

equivalent.

Preferred Certifications: ISTQB AI Testing, TensorFlow/Cloud AI certifications, or

equivalent applied AI credentials.