ONLY IMMEDIATE JOINERS BASED OUT OF CHENNAI NEED TO APPLY Overall 5+ Years of Automation Testing experience: Excellent communication skills. Should be able to interact with global teams. 4+ Years experience with Java. Will have a coding test. 4+ Years experience with Selenium. 3+ Years experience with API Testing. (Must be very strong) 2+ Years experience with Data Structures. 2+ Years experience with Coding. Strong experience with BDD framework. Show more Show less
About the Role: We are looking for a seasoned Recruitment Manager – Non-IT with a strong track record in hiring mid to senior and leadership-level roles across the Healthcare and BFSI sectors. This role demands a domain expert who can manage the entire recruitment lifecycle while driving strategic conversations with business leaders and decision-makers. Key Responsibilities: Lead Non-IT recruitment across verticals with focus on Healthcare and BFSI domains Hire for a wide range of roles, from frontline staff to CXO-level leadership positions Deeply understand and source for positions such as: Healthcare: Medical Directors, Chief Nursing Officers, Heads of Clinical Ops, Hospital Admins, etc. BFSI: Senior Risk Officers, Compliance Heads, AVPs/VPs, Wealth Managers, Branch Heads, etc. Engage directly with client decision-makers, HR heads, and CXOs to build strong partnerships Build and scale delivery teams and ensure timely fulfillment of critical positions Monitor hiring metrics, optimize sourcing strategies, and maintain service excellence Contribute to new business development through strategic insights and consultative engagement Ideal Candidate: 12+ years of proven recruitment experience in Healthcare and BFSI sectors Demonstrated success in leadership and executive hiring across both verticals Exceptional communication and client-facing skills Strong understanding of talent landscapes and organizational structures in regulated industries Capable of working independently, leading a team, and managing high-volume delivery A strategic thinker with a strong delivery orientation and passion for excellence Why Join Us? Be part of a rapidly growing recruitment firm with strong market presence Opportunity to influence talent strategy and work closely with CXO-level clients Career path toward leadership with exposure to large-scale hiring mandates Attractive compensation + performance-linked rewards
As a Data Quality Engineer at our company, you will play a crucial role in ensuring the quality and reliability of data used in ML/AI and Generative AI products. Your responsibilities will include: - Performing thorough Data Analysis to evaluate Data Quality, test Machine Learning Models & Visualizations, detect outliers, and use statistical methods to define and monitor valid data ranges. - Collaborating with data scientists, engineers, and product managers to understand the data needs and requirements of different AI applications. - Developing an automation strategy to create automated tests for validating large data sets across products in our company. - Creating test strategies, test plans, and executing test cases manually and via automation to test data-oriented products and data integrations. - Designing, implementing, and maintaining data validation frameworks and data quality monitoring systems. - Working closely with Scrum team members to clarify requirements, ensure testability and automatability, and provide feedback on design (functional and technical). - Analyzing the potential impact of requirement changes, assessing risks, and advocating for quality in every phase of the development process. - Continuously improving automation coverage and reducing regression cycles. In terms of qualifications, we are looking for someone who brings: - Experience in writing complex queries on large customer data sets. - Familiarity with ML/AI and Generative AI techniques, frameworks, and associated toolchains. - Understanding of statistical analysis and core statistical functions. - Strong hands-on experience working with APIs and API automation. - Excellent communication skills and the ability to drive collaboration across teams. - Experience working in Agile development processes and with offshore teams. Additionally, it would be beneficial if you also have: - A Bachelor's degree in Computer Science, Economics, Statistics, or Mathematics with 3-5 years of experience in Data Testing. - Knowledge in Predictive Analytics, machine learning trade-offs, and model evaluation. - Strong scripting experience with Python, SQL, and tools for data analysis and manipulation.,