AI/ML Test Engineer

Experience: 5 to 8 years Location: Delhi Job code: Posted on: Jan 12, 2026 About Us AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring. Job Summary We are looking for an experienced AI/ML Test Engineer with 5+ years of hands‑on experience in testing AI/ML models and data‑driven applications. The role focuses on validating the accuracy, fairness, robustness, and performance of AI systems used in areas such as NLP, recommendation engines, fraud detection, and advanced analytics. The candidate will ensure AI‑driven decisions are reliable, transparent, and aligned with business and procurement rules. Key Responsibilities Test and validate AI/ML models used in NLP, recommendation systems, fraud detection, and analytics platforms. Evaluate AI models for accuracy, bias, explainability, robustness, and performance. Ensure AI‑driven decisions (e.g., bid scoring, supplier ranking, fraud detection) are fair, auditable, and transparent. Perform data validation to ensure training, testing, and inference datasets meet quality and business requirements. Validate end‑to‑end ML pipelines, including data ingestion, training, deployment, and inference workflows. Design and execute AI‑specific test strategies, including boundary testing, adversarial input simulation, and drift monitoring. Define and implement AI/ML testing frameworks and automation approaches. Integrate AI testing into CI/CD pipelines to enable continuous validation. Role Requirements And Qualifications Bachelor’s/master’s in engineering/CS/IT/Data Science or equivalent. 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 drift monitoring to detect manipulation attempts 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. Preferred Certifications: ISTQB AI Testing, TensorFlow/Cloud AI certifications, or equivalent applied AI credentials. Why Join Us Opportunities to work on transformative projects, cutting‑edge technology and innovative solutions with leading global firms across industry sectors. Continuous investment in employee growth and professional development with a strong focus on up & re‑skilling. Competitive compensation & benefits, ESOPs and international assignments. Supportive environment with healthy work‑life balance and a focus on employee well‑being. Open culture that values diverse perspectives, encourages transparent communication and rewards contributions. How To Apply If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position. #J-18808-Ljbffr