Job/Soft skill training

Cafeteria

Health insurance

Professional degree assistance

Free meal

Child care facility

Office cab/shuttle

AuthBridge Research Services Reviews by Employees

Associate

Senior Associate

Operations Associate

Associate Manager

Process Specialist

Software Engineer

Process Associate

Deputy Manager

Verification Specialist

Assistant Manager

Product Manager

Sales Manager

Executive

Field Executive

Senior Manager

Manager

Background Verification Executive

Senior Analyst

Analyst

Business Analyst

Research Associate

Verifier

Operations Executive

Client Servicing Executive

Senior Associate 1

Junior Associate

We are seeking a talented and versatile AI Engineer to join our growing team in Gurugram. This role requires a strong foundation in Artificial Intelligence and Machine Learning with practical experience across a diverse range of AI domains, including Computer Vision, Natural Language Processing (NLP), Machine Translation, Classification, and Generative AI. The ideal candidate will be passionate about developing innovative AI solutions, possess excellent problem-solving skills, and be capable of contributing to the entire lifecycle of AI projects, from research and development to deployment. Responsibilities: - AI Solution Development & Implementation: - Design, develop, and implement AI/ML models and solutions across various domains, including Computer Vision, NLP, Machine Translation, Classification, and Generative AI. - Apply machine learning algorithms and techniques to solve specific business problems and create tangible value. - Develop and maintain data pipelines for efficient data ingestion, preprocessing, and feature engineering relevant to different AI tasks. - Write clean, efficient, and well-documented code in relevant programming languages (primarily Python). - Computer Vision: - Develop and implement solutions for image recognition, object detection, image segmentation, video analysis, and other computer vision tasks. - Utilize relevant libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch, Detectron2). - Work with image and video datasets, including data augmentation and annotation techniques. - Natural Language Processing (NLP): - Develop and implement solutions for text classification, sentiment analysis, named entity recognition, topic modeling, language modeling, and other NLP tasks. - Utilize relevant libraries and frameworks (e.g., NLTK, spaCy, Transformers, Hugging Face). - Work with text datasets, including data cleaning and preprocessing techniques. - Machine Translation: - Develop and implement machine translation models and solutions. - Evaluate and fine-tune pre-trained translation models. - Understand different approaches to machine translation (e.g., statistical, neural). - Classification: - Develop and implement classification models for various structured and unstructured data types. - Apply different classification algorithms (e.g., logistic regression, support vector machines, decision trees, neural networks). - Evaluate model performance using appropriate metrics. - Generative AI: - Explore and implement generative AI models for tasks such as text generation, image generation, and other creative applications. - Experiment with different generative architectures (e.g., GANs, VAEs, Transformer-based models). - Model Evaluation & Deployment: - Evaluate the performance of AI/ML models using appropriate metrics and techniques. - Deploy and monitor AI models in production environments. - Continuously improve and optimize deployed models. - Research & Development: - Stay up-to-date with the latest advancements in AI and machine learning across relevant domains. - Research and experiment with new algorithms, techniques, and tools. - Contribute to the development of innovative AI solutions. - Collaboration & Communication: - Collaborate effectively with data scientists, engineers, and product managers. - Communicate technical findings and insights clearly and concisely. - Participate in code reviews and knowledge sharing activities. Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. - Minimum of 3+ years of hands-on experience in developing and implementing AI/ML models across multiple domains (Computer Vision, NLP, Translation, Classification, Gen AI). - Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Transformers, OpenCV, NLTK, spaCy). - Solid understanding of fundamental machine learning algorithms and concepts. - Experience working with various types of data (image, text, structured data). - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services is a plus. - Experience with version control systems (e.g., Git). - Excellent problem-solving, analytical, and critical thinking skills. - Strong communication and collaboration abilities. Preferred Qualifications: - Experience with deploying and monitoring AI models in production. - Familiarity with MLOps practices. - Experience with specific machine translation frameworks and tools. - Experience with generative AI frameworks and models. - Contributions to open-source AI/ML projects. - Publications or relevant certifications in AI/ML.

Gurgaon/Gurugram

AuthBridge - Generative AI Engineer - NLP/Computer Vision (3-5 yrs)

About the Role : We are seeking a talented and versatile AI Engineer to join our growing team in Gurugram. This role requires a strong foundation in Artificial Intelligence and Machine Learning with practical experience across a diverse range of AI domains, including Computer Vision, Natural Language Processing (NLP), Machine Translation, Classification, and Generative AI. The ideal candidate will be passionate about developing innovative AI solutions, possess excellent problem-solving skills, and be capable of contributing to the entire lifecycle of AI projects, from research and development to deployment. Key Responsibilities : AI Solution Development & Deployment : - Design and build AI/ML models across domains like Computer Vision, NLP, Machine Translation, Classification, and Generative AI. - Develop end-to-end pipelines, from data ingestion and preprocessing to model deployment and monitoring. - Write clean, efficient, and well-documented code, primarily in Python. Domain-Specific AI Applications : - Computer Vision: Build solutions for image recognition, object detection, segmentation, and video analysis using tools like OpenCV, TensorFlow, and PyTorch. - NLP: Implement text classification, sentiment analysis, NER, topic modeling, etc., using libraries such as spaCy and Hugging Face Transformers. - Machine Translation: Develop and fine-tune neural translation models, and experiment with various translation techniques. - Classification Models: Apply and evaluate machine learning classifiers on structured and unstructured data using standard algorithms. - Generative AI: Explore use cases in text and image generation using GANs, VAEs, and transformer-based models. Model Evaluation & Optimization : - Measure model performance using relevant metrics and continuously optimize based on real-world data and feedback. - Deploy AI models into production and ensure reliability at scale. Research & Innovation : - Stay abreast of advancements in AI/ML and contribute ideas for integrating cutting-edge technologies into projects. - Experiment with new tools, frameworks, and methodologies to drive innovation. Collaboration & Communication : - Work closely with cross-functional teams including data scientists, engineers, and product stakeholders. - Present technical insights clearly and contribute to peer reviews and team knowledge sharing. Qualification : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. - Minimum of 3+ years of hands-on experience in developing and implementing AI/ML models across multiple domains (Computer Vision, NLP, Translation, Classification, Gen AI). - Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Transformers, OpenCV, NLTK, spaCy). - Solid understanding of fundamental machine learning algorithms and concepts. - Experience working with various types of data (image, text, structured data). - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services is a plus. - Experience with version control systems (e.g., Git). - Excellent problem-solving, analytical, and critical thinking skills. - Strong communication and collaboration abilities.

AuthBridge - Artificial Intelligence Engineer - Computer Vision (5-8 yrs)

We are seeking a highly motivated and experienced QA Automation Lead to spearhead our quality assurance efforts, with a specific focus on leveraging AI tools to generate and execute acceptance test cases for APIs, web applications and mobile apps. The ideal candidate will possess a strong background in software testing, a deep understanding of QA methodologies, and a passion for exploring and implementing innovative AI-driven testing solutions. You will lead a team of QA engineers, drive test strategy, and ensure the delivery of high-quality software products. Responsibilities : Leadership and Team Management : - Lead, mentor, train and motivate a team of QA engineers, fostering a collaborative and high-performance environment. - Define team goals, conduct performance reviews, and provide ongoing feedback and coaching. - Allocate resources effectively and manage project timelines. Test Strategy and Planning : - Develop and implement comprehensive test strategies and plans, including acceptance, functional, integration, regression, and performance testing. - Define test scope, create test schedules, and ensure alignment with project milestones. - Identify and mitigate potential risks and issues related to quality assurance. AI-Driven Acceptance Testing : - Research, evaluate, and implement AI tools and techniques for generating and executing acceptance test cases. - Develop and maintain frameworks and processes for integrating AI into the testing lifecycle. - Analyze and interpret AI-generated test results, providing actionable insights to development teams. - Keep up to date with the latest advancements in AI-powered testing. Acceptance Test Case Development : - Collaborate with product owners, developers, and stakeholders to define acceptance criteria and translate them into comprehensive test cases. - Utilize AI tools to generate and optimize acceptance test cases, ensuring maximum coverage and efficiency. - Maintain and update test case repositories, ensuring accuracy and completeness. Test Execution and Reporting : - Oversee the execution of test cases, ensuring adherence to established standards and procedures. - Analyze test results, identify defects, and track them through the defect lifecycle. - Generate comprehensive test reports and provide regular updates to stakeholders. - Implement and maintain test automation frameworks. Process Improvement : - Identify and implement opportunities for process improvement, optimizing testing efficiency and effectiveness. - Establish and maintain quality metrics and reporting mechanisms. - Promote a culture of continuous improvement within the QA team. Collaboration and Communication : - Work closely with development teams, product owners, and other stakeholders to ensure seamless integration of testing activities. - Communicate effectively with all stakeholders, providing clear and concise updates on testing progress and issues. Qualifications : - Bachelor's degree in Computer Science, Software Engineering, or a related field. - Minimum of 5+ years of experience in software quality assurance, with a proven track record of leading QA teams. - Strong understanding of software testing methodologies, tools, and best practices. - Experience with test automation frameworks and tools (e.g., Selenium, Cypress, PHPUnit, etc.). - Experience with API testing (Postman, RestAssured). - Demonstrated experience with integrating and utilizing AI tools for test case generation and execution. - Excellent analytical, problem-solving, and communication skills. - Ability to work independently and as part of a team in a fast-paced environment. - Strong leadership and mentoring skills. - Familiarity with CI/CD pipelines and DevOps practices. - Experience with agile development methodologies. - Experience in performance testing and security testing is a plus. - Experience with multi-browser, cloud based testing platforms such as Saucelabs

AuthBridge - Quality Assurance Automation Lead - Selenium (5-10 yrs)

About the Role : Were looking for a passionate AI Evangelist & Code Generation Expert to lead the adoption of AI-powered coding tools across our engineering teams. In this pivotal role, youll drive a transformation in how we build softwarespanning new development, code refactoring, test generation, tech stack and microservice migration. You'll champion tools like Cursor AI, GitHub Copilot, and Windsurf AI, deliver impactful training, and demonstrate measurable gains in productivity and code quality. Experience applying AI in our domain is a strong plus. Key Responsibilities : - Champion AI-Powered Coding : Advocate the adoption of tools like Cursor AI, GitHub Copilot, and Windsurf AI across engineering teams, articulating their value and addressing resistance. - Drive Training & Enablement : Design tailored training sessions, workshops, and resources to onboard developers at all levels and promote effective tool usage. - Lead Adoption & Strategy : Build strategies to integrate AI tools into dev workflows, track adoption, and identify improvement areas. - Set Standards & Best Practices : Establish clear usage guidelines ensuring code quality, security, and maintainability. - Promote High-Impact Use Cases : Apply AI to areas like app development, code refactoring, tech stack migration, test generation, and microservice transformation. - Measure ROI : Define and track metrics like dev velocity and bug reduction to demonstrate impact and adoption success. - Provide Ongoing Support : Be the go-to expert for AI coding tools, offering mentorship, troubleshooting, and continuous guidance. - Stay Ahead of the Curve : Monitor emerging AI technologies and recommend tools aligned with org goals. - Collaborate with Engineering Leaders : Align AI strategy with overall tech objectives in partnership with managers and architects. - Domain-Specific AI Use Case Exploration : Explore domain-specific AI opportunities beyond coding, such as Gen AI, NLP, computer vision, or document classification. Qualification : - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related fields. - 5+ years of experience in software development with strong knowledge of SDLC, architecture, and testing practices. - At least 1 year of hands-on experience with AI-powered coding tools like Cursor AI, GitHub Copilot, or Windsurf AI. - Excellent communication and presentation skills; able to evangelize complex concepts to both technical and non-technical audiences. - Proven ability to design and deliver impactful technical training sessions and workshops. - Strong analytical mindset with the ability to measure and communicate technology impact. - Comfortable working independently and collaboratively in a fast-paced, evolving environment. - Passionate about emerging technologies, especially in the AI space. - Proficient in code refactoring, software design principles, and modern dev tools and frameworks. - Preferred : Experience applying AI in domains like Gen AI, classification, computer vision, or NLP. - Preferred : Familiarity with cloud platforms (AWS, Azure, GCP) and microservices architecture.

AuthBridge - Artificial Intelligence Specialist - Data Modeling (5-8 yrs)

Apply to 4 AuthBridge Research Services jobs on Hirist.tech, India's No.1 IT job portal. Explore IT job in AuthBridge Research Services Now! 

AuthBridge Research Services Careers, 4 AuthBridge Research Services Jobs, July 2025  | hirist.tech

Jobs by location

AuthBridge Research Services Jobs