About Client :
Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.
Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
Job Title : AIML Developer
Experience Level : 6-10 Years
Job Location : Hyderabad
Budget : 1,50,000 Per Month
Job Type : Contract
Work Mode : Hybrid
Notice Period : Immediate Joiners
Client : CMMI Level 5
Job Description : Key Responsibilities
- Design and build autonomous agents to support various phases of STLC including test planning, test case generation, execution, defect triaging, and reporting.
- Demonstrated hands-on expertise in Google Cloud Platform (GCP) services Google ADK, with a strong focus on Vertex AI, Agent-based architectures (e.g., Agent Engine), and scalable cloud-native deployment models.
- Fine-tune and optimize LLMs for domain-specific tasks in software testing.
- Integrate agents with CI / CD pipelines and test management platforms.
- Collaborate with QA and engineering teams to identify automation opportunities and improve test coverage and efficiency.
- Ensure responsible AI practices, including bias mitigation, explainability, and compliance with data governance standards.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, AI / ML, or related field.2+ years of experience in building AI / ML solutions, with at least 1 year focused on generative AI.Hands-on experience with Vertex AI, GDK, and other Google Cloud AI tools.Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).Experience with LLMs, prompt engineering, and agent frameworks.Familiarity with software testing tools and methodologies (e.g., Jira, Selenium, Appium, JUnit, TestNG, etc.).