Text Annotation Jobs in Bengaluru

Senior Test Automation Engineer Experience: 3 5 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod (Security Podium) is a global cybersecurity company that focuses on preventive cybersecurity solutions. Their SanerNow Platform unifies vulnerability management, patching, compliance, and threat detection into a single agent and dashboard. Role Summary We are seeking a highly skilled Senior Test Automation Engineer to lead and drive automation initiatives across SecPod s platforms. This role involves owning the end-to-end automation strategy, building scalable frameworks, and ensuring the delivery of high-quality, secure software. Key Responsibilities Solution Design: Own the design, development, and maintenance of automated testing solutions and scalable test cases. Framework Enhancement: Build and maintain frameworks for Web, Desktop, and REST APIs. Strategy & Best Practices: Define automation strategies, test design techniques, and optimize test execution efficiency. Regression Expansion: Continuously evaluate and expand regression suites for new features. Technical Collaboration: Work closely with Architects and Development Leads to ensure top-tier deliverables. Required Qualifications & Technical Skills Experience: 3 5 years of hands-on experience in test automation. Framework Development: Strong experience designing frameworks for applications built using Java, JavaScript, C, and C++. Programming: Proficiency in Java or Python. SDLC/STLC: Deep understanding of the Software Testing Life Cycle and software engineering principles. DevOps & CI/CD: Practical experience with Jenkins or Bamboo and CI/CD pipeline implementation. Technical Breadth: Knowledge of HTTP, REST, and database concepts across Linux and Windows environments. Domain Knowledge: Experience in the cybersecurity domain is a strong advantage. Non-Technical Skills Agile Mindset: Ability to adapt quickly in a fast-paced environment. Analytical Thinking: Excellent troubleshooting, debugging, and research-oriented problem-solving skills. Communication: Strong collaboration and verbal/written communication skills. Education: Bachelor s or Master s degree (BE / MCA / M.Tech). Qualification : Bachelors or Masters degree (BE / MCA / M.Tech)

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Job Title: Senior Specialist Software Engineering Location: Bengaluru Type: Full-Time Level: Professional About BetaNXT BetaNXT is powering the next generation of connected wealth management infrastructure. By integrating our proven platforms Beta, Maxit, and Mediant we deliver real-time data solutions that enhance advisor productivity, streamline enterprise operations, and elevate the investor experience. Our platform helps wealth management firms transform their legacy systems into scalable, future-ready solutions that drive differentiation and growth. About the Role We are seeking a Senior Specialist Software Engineering to join our Product Engineering team. This is a key technical leadership role for someone passionate about enterprise integration, legacy modernization, and delivering high-performance, scalable systems. You will work closely with architects, product managers, and cross-functional teams to design and implement critical enhancements across our platform, playing a key role in shaping our strategic initiatives. Key Responsibilities Lead software design & development of complex enterprise components aligned with business and technical goals. Collaborate with Solution Architects to define scalable, maintainable solutions. Provide technical oversight through the software lifecycle design, development, testing, and integration. Define and execute testing strategies: unit, integration, and performance. Drive code quality and reliability through proactive issue resolution and continuous improvement. Create and maintain technical documentation to ensure long-term maintainability. Ensure adherence to development best practices, internal standards, and compliance. Serve as a technical SME and point of contact for assigned domains. Mentor junior engineers, promoting skill development and knowledge sharing. Coordinate with QA, documentation, deployment, and support teams to ensure successful delivery. Participate in project planning, provide effort estimates, and contribute to work breakdown. Communicate effectively with technical and non-technical stakeholders, including senior leadership. Contribute in Agile/SCRUM teams, supporting sprint ceremonies and cross-functional collaboration. Maintain timely updates, raise risks early, and help drive resolution. Required Qualifications & Experience 10+ years of hands-on experience in Enterprise Application Integration and Mainframe Development. Expertise in COBOL, JCL, CICS, DB2, VSAM, and environments like CICS Web Services & Transaction Server 3.1. Proficient in integration technologies: IBM Integration Bus (IIB 10) IBM App Connect Enterprise (ACE 12) MQ Series, IBM DataPower Familiar with mainframe tools: TSO, File-Aid, Syncsort, Platinum, Abend-Aid, Mainview Experience with JCL utilities, ChangeMan, and version control tools like GIT. Skilled in unit testing, code quality, and design documentation. Understanding of performance metrics: CPU usage, response time, network latency, etc. Knowledge of API modeling and annotation tools: Swagger, RAML. Familiarity with XML, XSD, XPath, XQuery, JSON. Experience working in Agile/SCRUM development environments. Strong analytical, communication, and cross-functional collaboration skills. Bachelor s degree in Computer Science, Information Science, or a related field. Master s degree or certifications (e.g., IBM, Agile) are a plus. Join a company transforming the wealth management technology landscape. Work on mission-critical systems that power financial operations at scale. Collaborate with industry leaders and technical experts in a fast-paced environment. Contribute to modernization efforts that directly impact advisor and investor experience. Thrive in a culture that values innovation, integrity, and continuous improvement. Qualification : Bachelors degree in Computer Science, Information Science, or a related field

Test Engineer (Senior QA Engineer / SDET) Department: R&D - Engineering Location: Bangalore About Acqueon: Acqueon is a leading provider of Generative AI-powered Revenue Execution Platforms. We empower customer-centric brands to orchestrate multi-channel campaigns and proactively engage consumers through voice, messaging, and email. Trusted by over 200 clients globally, we help enterprises elevate their customer experience, improve revenue recovery, increase sales, and build lasting loyalty. At the heart of Acqueon is a relentless focus on creating delightful, friction-free, and referral-worthy customer experiences using cutting-edge AI and data-driven technology. Position Overview: We are seeking a talented and experienced Senior QA Engineer / SDET to join our growing engineering team. This role focuses heavily on performance testing and test automation, ensuring our applications meet the highest standards of scalability, reliability, and usability. You will work in a collaborative environment with developers, DevOps engineers, and product teams, taking ownership of designing and executing complex test strategies using tools such as JMeter, Gatling, k6.io, and Selenium WebDriver. Key Responsibilities: Design, develop, and execute performance tests for web applications and backend APIs using JMeter, Gatling, or k6.io. Create realistic test scenarios and simulate workloads to evaluate system behavior under varying conditions. Conduct performance tuning and optimization, identify system bottlenecks, and provide recommendations for improvement. Work closely with development teams to analyze test results, diagnose issues, and drive resolutions. Build and maintain automation frameworks using Selenium WebDriver with Java, Cucumber, JUnit, TestNG, or Playwright. Contribute to the integration of performance and functional tests into CI/CD pipelines. Participate in architectural and design discussions to ensure performance considerations are included from the outset. Document test strategies, metrics, and findings, and communicate them clearly across teams. Required Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field. 6 7 years of experience in performance testing and test automation. Strong hands-on experience with JMeter, Gatling, or k6.io. Expertise in building and executing performance test plans for web applications and APIs. Deep understanding of performance metrics, system tuning, and capacity planning. Proficiency in automation using Selenium WebDriver with Java, and frameworks like Cucumber, JUnit, TestNG, or Playwright. Solid knowledge of web technologies, protocols (HTTP/S), and application architecture. Strong analytical skills, attention to detail, and ability to work in dynamic, fast-paced environments. Excellent communication and collaboration skills. Preferred Experience: Experience with Agile/Scrum methodologies. Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI. Exposure to cloud-based performance testing environments. Experience with monitoring tools (e.g., Grafana, Prometheus, New Relic) is a plus. What We Offer: A fast-paced, high-growth environment working on next-gen customer engagement products. The opportunity to work with cutting-edge technologies and global enterprise clients. A collaborative, people-first culture that values curiosity, ownership, and excellence. If you re passionate about quality, performance, and automation and love solving complex challenges we d love to hear from you. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Position: Senior Test Engineer Location: Bangalore Education: B.E./B.Tech. in Electronics & Communication (EC) Experience: 4 to 10 Years Key Skills & Expertise Strong experience in testing, troubleshooting, and debugging complex PCBAs and electronic subsystems. Proficient in analyzing and working with FPGAs, processors, DDR memory, and ADC components. Skilled problem solver with the ability to think creatively and troubleshoot effectively. Hands-on experience with testing equipment such as oscilloscopes, spectrum analyzers, function generators, power meters, and other test instruments. Familiarity with programming tools and materials/component specifications. Excellent communication skills for customer interaction regarding queries and status updates. Proven team player with the ability to train and mentor junior engineers. Deep understanding of engineering principles and product design, with keen attention to detail. Job Responsibilities Test, troubleshoot, and debug complex PCBAs and electronic subsystems incorporating FPGAs, processors, DDRs, and ADCs. Analyze and comprehend complete test procedures and parameters; develop customized test procedures tailored to FPGA, processor, and ADC boards and subsystems. Lead qualification and environmental stress screening (ESS) tests, coordinating efforts with engineering teams and customers. Design and implement straightforward yet comprehensive quality-check processes to ensure optimal product performance. Collaborate with cross-functional teams to resolve issues and improve testing methodologies. Provide training and guidance to team members, fostering a culture of continuous learning and improvement. Qualification : B.E./B.Tech. in Electronics & Communication (EC)

Position: Senior QA Engineer (Automation & Telecom) Location: Bangalore, Karnataka, India Department: Advanced Analytics Experience: 3 - 6 Years We're looking for a Senior QA Engineer with 3-6 years of experience, specializing in both automation and manual testing within the telecom domain. If you're proficient with Playwright and understand CI/CD pipelines, you're the ideal candidate to join our Advanced Analytics team. Key Responsibilities: Automate test cases using Playwright for web applications. Conduct manual testing for telecom functionalities (performance, stability). Design and write detailed test cases based on requirements. Manage test execution, defect tracking, and reporting. Collaborate with teams to validate system behavior. Integrate automation into CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps). Ensure quality gates are met before production releases. Perform regression testing, UAT support, and production troubleshooting. Skills You Need: 3+ years QA experience (manual & automation). Strong Playwright or similar automation framework experience. Telecom project experience (BSS/OSS, network provisioning, fraud management, etc.). Knowledge of CI/CD tools (Jenkins, GitLab CI/CD, Azure DevOps). Proficiency in JIRA, TestRail, or similar tools. Familiarity with JavaScript/TypeScript or Python. Experience with Agile/Scrum. Nice to Have: API testing (Postman, REST-assured). Git version control. Cloud platform exposure (AWS, Azure).

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: Data Science Intern Analytics, Automation & Problem Solving Location: Bangalore On-site Duration: 3 6 months Internship Experience: Final-year students or recent graduates About the Role: We re seeking a high-agency intern passionate about data and obsessed with solving real-world problems. At 5C Network, data goes beyond analysis it drives systems, operations, and healthcare outcomes. Join our Data Science & Analytics team to go beyond dashboards: own challenges, build automations, and work with data impacting thousands of lives. What You ll Work On: Complex Querying & Data Handling: Write and optimize high-performance SQL queries on large healthcare datasets (PostgreSQL, ClickHouse), troubleshoot discrepancies, and ensure data reliability. Python-based Data Transformation: Clean, manipulate, and transform raw data using Pandas and NumPy; contribute to backend scripts powering dashboards and reports. Dashboarding & Reporting: Assist in creating intuitive dashboards (Metabase, Power BI, Google Data Studio) used for operational, product, and clinical decision-making. Automations & Workflows: Identify repetitive tasks and automate processes with Python, APIs, and reporting tools. Advanced Applications: Collaborate on projects involving natural language data, smart assistants, and auto-triggered insights to enhance decision-making intelligence. Business Context Awareness: Understand the purpose behind every metric focus on solving impactful business problems, not just queries. What We Expect from You: Strong command of SQL with skills in query optimization, debugging, and managing complex data logic. Solid Python skills for data tasks (Pandas, NumPy, scripting). Comfort working with real-world messy data, databases, and schemas. Curiosity and initiative: Investigate anomalies rather than ignoring them. Business-first mindset: Always question the meaning behind metrics. High ownership: Proactively explore, propose solutions, and take charge without waiting for perfect instructions. Willingness to learn and stretch whether automating reports, building tools, or mastering new skills daily. Nice to Have: Experience with APIs, backend data workflows, or FastAPI. Familiarity with Git and data visualization platforms. Interest in healthcare or operations-heavy environments. Exposure to LLMs, text analytics, or no-code/low-code tools (even exploratory). Why This Internship is Different: Real projects with real impact on national healthcare delivery. Exposure to full-stack analytics from pipelines to dashboards to business strategy. Mentorship from experienced data scientists and engineers. Potential opportunity for full-time conversion based on performance. Perks: Paid internship with a stipend. Certificate of completion and potential pre-placement offer. Office located in Bangalore s vibrant startup and health-tech hub.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Position Title: Senior Automation Test Engineer Selenium, Playwright, API & Database Testing Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Automation Test Engineer with strong expertise in Selenium, Playwright, API testing, and database validation. In this role, you will be responsible for designing, developing, and maintaining automated test scripts to ensure high-quality software delivery. You will work closely with development and QA teams in an Agile environment, driving quality across the software development lifecycle. Key Responsibilities Design, implement, and maintain automated test scripts using Selenium and Playwright. Perform functional, regression, API, and database testing. Collaborate with cross-functional teams to understand requirements and define test strategies. Identify, report, and track defects using tools like JIRA. Participate actively in Agile ceremonies including sprint planning and retrospectives. Ensure test coverage, reliability, and continuous improvement in test frameworks. Technical Skills Essential Tools & Technologies Automation: Selenium, Playwright (mandatory), TestNG, Maven. CI/CD & Project Tools: Jenkins, JIRA. Testing Types: Functional, Regression, API testing (e.g., Postman), Database testing (SQL). Methodologies: Agile/Scrum. Programming & Scripting Languages: Java (strong knowledge preferred). Practices: Reusable code development, script debugging, and test maintenance. Experience Requirements Minimum 8 years of hands-on experience in automation testing. Solid experience in Selenium with Java. Strong proficiency in Playwright (mandatory). Proven background in API and database testing. Experience working in Agile teams and participating in end-to-end QA lifecycle. Day-to-Day Activities Write and maintain robust, scalable automated test suites. Execute test scripts and analyze results to ensure software quality. Debug failed tests, identify issues, and collaborate with development teams for resolution. Review test cases and provide mentorship to junior testers when needed. Contribute to process improvements and quality standards. Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. Soft Skills Strong communication and teamwork capabilities. Detail-oriented with excellent problem-solving skills. Ability to manage multiple tasks and priorities in a fast-paced environment. Proactive and self-driven with a focus on delivering high-quality solutions. Diversity & Inclusion at Synechron At Synechron, we believe diversity drives innovation. Through our Same Difference DEI initiative, we are committed to creating an inclusive environment where everyone feels respected and valued. We welcome applications from individuals of all races, ethnicities, genders, sexual orientations, disabilities, ages, and backgrounds. Our global workforce benefits from mentoring, flexible work arrangements, and continuous learning opportunities. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

AI-ML Technologist Bangalore, India Location: Bangalore Experience: 3 to 10 Years Job Role: AI-ML Technologist Industry: IT Software / Artificial Intelligence & Machine Learning Job Summary: We are looking for a highly skilled AI-ML Technologist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision. The ideal candidate will have hands-on experience in developing intelligent solutions using Python and other programming languages and frameworks. Key Responsibilities: Develop and deploy AI/ML models for various applications including Natural Language Processing (NLP), Computer Vision, and Cognitive Computing Design and implement deep learning architectures such as RNN, LSTM, and Reinforcement Learning algorithms Process and analyze diverse data types including text, speech, images, videos, and real-time streams from IoT devices and sensors Collaborate on AI system architecture and design using UML and related tools Utilize AI/ML frameworks such as TensorFlow, PyTorch (Torch), and Caffe for model development and training Apply cognitive search techniques and build scalable AI-driven applications Required Skills: Strong programming skills in Python, with experience in other languages like Java, C/C++, or R Proven experience with AI/ML frameworks: TensorFlow, PyTorch, Caffe, or similar Deep understanding of Deep Learning, Recurrent Neural Networks (RNN/LSTM), and Reinforcement Learning Expertise in Natural Language Processing (NLP) and Computer Vision technologies Experience handling large-scale and multi-modal data from various sources such as text, speech, images, video, and IoT streams Solid foundation in Machine Learning, Cognitive Computing, and Artificial Intelligence principles Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms for AI/ML deployment (AWS, Azure, GCP) Work on cutting-edge AI and ML technologies impacting real-world applications Collaborate with a team of experts in a fast-paced, innovation-driven environment Opportunities for continuous learning and career growth in AI/ML domain Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field

GenAI Engineer Location: Bangalore, India About the Team Rubrik s IT team is at the forefront of AI-powered transformation, focused on building intelligent automation and scalable data solutions to support the company s mission. As part of the newly established IT AI team, you ll help develop AI agents and workflows to unlock the full potential of generative AI in data engineering. About the Role We re seeking a GenAI Engineer to join our Data Engineering team, specializing in the development and deployment of AI agents and workflows powered by large language models (LLMs). You ll be responsible for integrating data sources, developing MCP clients/servers, and collaborating with cross-functional teams to drive GenAI adoption across the organization. Key Responsibilities Design and implement data integrations using MCP protocols or traditional data extraction methods Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving) Ensure high standards of data quality, integrity, and scalability for both structured and unstructured AI workloads Collaborate with business, data engineering, and application development teams to create AI-enabled products Integrate pipelines into existing infrastructure for seamless data flow and analytics Support high-quality data products tailored for AI and machine learning workflows Required Experience 1+ years building AI Agents or working with platforms like Snowflake Cortex, Gemini Agentspace, or similar open-source frameworks 3+ years in data engineering with a focus on AI/ML workloads 5+ years in data analytics using Snowflake or Databricks Strong programming skills in Python, Java, or Scala Familiarity with data storage, APIs, and cloud configurations Experience with data governance and scalable system design Solid understanding of LLMs, transformers, and frameworks such as LangChain Strong analytical and problem-solving skills in a dynamic environment Preferred Qualifications Proven experience building AI Agents and agentic workflows Understanding of MCP and Agent2Agent protocols Knowledge of generative model architectures and applications in data engineering Familiarity with data security and governance best practices in GenAI Experience with Agile methodologies and tools such as Jira and GitHub Join Us in Securing the World s Data Rubrik (NYSE: RBRK) is committed to delivering Zero Trust Data Security. Our ML-powered platform protects data across enterprise, cloud, and SaaS applications, helping organizations stay resilient against cyberattacks and disruptions.

Sr. Software Engineer, Search Relevance (Applied AI) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team to develop and improve ML-powered search relevance systems. You will work on enhancing search ranking, query understanding, and building evaluation frameworks to enable scalable, seamless search experiences across millions of data assets on the platform. Key Responsibilities Develop and deploy ML/NLP-based relevance models integrated with Databricks products. Design automated pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation. Collaborate with product managers and cross-functional teams to innovate in search and discovery features. Build robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 6+ years of experience developing large-scale search relevance systems or impactful research. Experience applying Large Language Models (LLMs) to search relevance. Expertise in one or more of: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects a plus. Work with cutting-edge AI models and a world-class team to shape the future of AI-driven data products. Databricks powers data intelligence for thousands of organizations globally and fosters an environment of innovation and collaboration. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Staff Software Engineer, Machine Learning (Search) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team as a Staff Engineer to lead advancements in Search Quality. This role focuses on improving search ranking, query understanding, and building scalable evaluation frameworks to enhance discovery across millions of data assets on the platform. Key Responsibilities Lead development and deployment of ML/NLP-based search relevance models integrated with Databricks products. Design and build automated ML pipelines for data preprocessing, query understanding/rewrite, ranking, retrieval, and evaluation. Collaborate with product managers and cross-functional teams to drive strategic search product innovations. Develop robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 10+ years experience building search relevance systems at scale in production or research environments. Experience applying Large Language Models (LLMs) to search relevance problems. Expertise in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects is a plus. Work at the forefront of AI-driven data products, collaborate with top AI/ML experts, and influence how thousands of organizations discover and interact with data. Databricks offers a cutting-edge platform and a collaborative, innovative culture. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Data Annotation Specialist Location: Bengaluru, India About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that s redefining service intelligence. Backed by leading venture capitalists in Silicon Valley and a distinguished group of angel investors, Neuron7.ai is a startup recognized for its innovation and market traction. Our platform delivers service predictions by analyzing both structured and unstructured data, enabling enterprises in industries like high-tech devices, manufacturing, and medical devices to make accurate service decisions at scale. We re looking for a Data Annotation Specialist to join our team for a 6-month contract. This role involves reviewing and annotating technical documents, converting them into visual formats like graphs and flowcharts, and ensuring precision in technical specifications. The ideal candidate will possess strong communication skills, a deep understanding of technical documentation, and hands-on experience with data visualization tools. At Neuron7.ai, you'll be part of an innovative, dynamic team that's redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. If you're passionate about transforming complex data into easily digestible visuals, this is the perfect role for you. About the Team Join a team of passionate professionals dedicated to using AI to drive impactful service solutions. Our culture promotes learning, growth, and encourages everyone to contribute ideas and drive projects forward. What You ll Do: Document Review & Annotation: Thoroughly analyze technical documents and annotate key data points accurately, ensuring they are aligned with the original content. Graph & Flowchart Creation: Transform complex technical specifications into clear, concise, and accurate visual formats like graphs, charts, and flowcharts. Data Visualization: Develop easy-to-understand visual data representations to enhance the comprehension of technical documentation. Collaboration: Work closely with internal technical teams to ensure that data and processes are correctly represented and visualized. Quality Control: Ensure that all annotations and visuals meet the highest accuracy standards and align with the original documentation. Clear Communication: Effectively communicate technical details, both in writing and verbally, with internal teams and stakeholders. Time Management: Manage multiple tasks efficiently while meeting deadlines, and be flexible with working hours, primarily in the PST time zone. What You ll Need: Education: A Bachelor s degree (or higher). Curiosity and Analytical Thinking: Strong curiosity about how people think and express ideas, and an ability to distill and clarify complex information for AI and machine learning applications. Communication Skills: Exceptional written and verbal communication skills to convey complex technical concepts clearly. Technical Document Comprehension: Ability to read and understand technical documents, accurately annotating them with precision. Graph & Flowchart Creation: Hands-on experience creating graphs, charts, and flowcharts to visually represent technical data. Attention to Detail: A keen eye for detail to ensure accuracy in annotation and data visualization. Technical Aptitude: Comfort with working with technical information and transforming it into easy-to-understand visuals. Flexible Working Hours: Ability to work flexible hours, primarily within the PST time zone. Immediate Availability: Must be able to start immediately and commit to the full 6-month contract. What We d Like to See: Experience with Diagramming Tools: Familiarity with tools like Microsoft Visio or similar for diagramming and process mapping. Data Annotation Experience: Previous experience in data annotation would be a plus. Multilingual Skills: Fluency in an international language other than English is a plus. Our Commitment to Diversity and Inclusion Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you're excited about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you! Qualification : A Bachelors degree (or higher).

Data Scientist with GenAI-2 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Key Responsibilities: Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops, and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training, and development of team members. Serve as an evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations, and/or other channels. Design integrations of and tune machine learning and computer vision algorithms. Research and prototype techniques and algorithms for object detection and recognition. Use Convolutional Neural Networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems. Work with open-source tools & platforms for statistical modeling, data extraction, and analysis. Construct, train, evaluate, and tune neural networks. Mandatory Skills: Proficiency in Java, C++, Python. Experience with Deep Learning frameworks such as Caffe, Torch, TensorFlow. Experience with image/video vision libraries like OpenCV, Clarifai, Google Cloud Vision. Expertise in Supervised & Unsupervised Learning. Development of feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, random forest) on big data computation platforms (Hadoop, Spark, HIVE, Tableau). Familiarity with technologies such as Tableau, Hadoop, Spark, HBase, Kafka. Experience: 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence. Experience in creating and applying Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross-functional teams. Experience with cloud services like AWS, Microsoft, IBM, and Google Cloud. Experience with Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar fields. Nice to Have: Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome. Qualification : BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience.

Data Scientist with GenAI | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT services and consulting company with over 230,000 employees in 65+ countries. We provide transformative digital solutions across consulting, engineering, and cloud. Job Overview We are seeking a skilled Data Scientist with Generative AI expertise to lead the development of AI/ML solutions using advanced technologies like LLMs, LangChain, and AWS. You will architect and implement end-to-end GenAI pipelines for enterprise-grade applications. Key Responsibilities Design and implement AI/ML solutions using Python and AWS. Develop GenAI systems using LLMs, LangChain, and RAG pipelines. Fine-tune AI models to optimize performance and accuracy. Create custom solutions when off-the-shelf tools don t meet requirements. Build SQL-based data pipelines extracting from Snowflake for model training. Integrate NLP capabilities into AI architecture to process textual data. Ensure responsible AI practices including security, fairness, and transparency. Lead and mentor team members, upholding coding and design standards. Communicate progress, risks, and strategies to stakeholders clearly. Mandatory Skills Python GenAI, LLMs AWS Cloud Services Preferred Skills NLP, AI/ML LangChain, RAG SQL, Snowflake Model fine-tuning and custom architecture development Join Wipro and be part of a global digital transformation journey. We empower talent to lead innovation and embrace reinvention. Applications from people with disabilities are explicitly encouraged.

Investigator Payments Analyst Location: Bengaluru Job Overview: The Investigator Payments Analyst is responsible for supporting the delivery of all required start-up contracting activities for selected sponsors, studies, or multi-protocol programs. This includes pre-award activities and providing essential operational and financial contracting support. The role ensures compliance with sponsor requirements, regulatory guidelines, and project timelines. Essential Functions: Grant Estimates & Proposal Support: Develop simple investigator grant estimates and proposal text to support the proposal development process. Contracting Tools & Systems: Utilize and maintain contract and budget templates and contracting systems, tools, processes, and training materials for selected sponsors, ensuring alignment with the Scope of Work and Project Plan. Collaboration & Communication: Coordinate with sponsors, stakeholders, and RSU regions to ensure successful delivery of projects in compliance with sponsor requirements and the RSU Management Plan. Operational & Financial Support: Provide operational and financial contracting support to facilitate business development and efficient initiation and maintenance of clinical trials, ensuring compliance with regulatory requirements. Documentation Support: Assist in creating and reviewing scientific, technical, and administrative documentation to support business development and enable study initiation and maintenance. Contracting Intelligence: Contribute to the collection, interpretation, analysis, and dissemination of contracting intelligence for assigned studies and the company. Efficiency & Reporting: Ensure contracting efficiency and adherence to project timelines and financial goals, and report on performance metrics and out-of-scope activities. Compliance & Quality Standards: Ensure compliance with contract management and quality standards, providing administrative and operational support to investigators and managers as required. System & Database Management: Accurately complete and maintain internal systems (including CTMS), databases, tracking tools, timelines, and project plans. Qualifications: Education: Bachelor's degree required. Experience: At least 1 year of relevant experience, including demonstrable experience as a contract negotiator or equivalent combination of education, training, and experience. Skills & Knowledge: Negotiation & Communication: Strong negotiation and communication skills to facilitate contract discussions and maintain professional relationships with sponsors. Interpersonal Skills: Ability to work effectively in teams and with internal and external stakeholders. Technical Writing: Strong technical writing skills for creating and reviewing proposals and documentation. Clinical Trial Knowledge: Understanding of clinical trial environments and the drug development process. Regulatory Knowledge: Knowledge of GCP/ICH guidelines, applicable regulatory requirements, and SOPs. Organizational Skills: Excellent organizational and planning skills for managing contracting activities. Software Proficiency: Strong knowledge of Microsoft Office and other relevant software tools. Contract Management: Good understanding of clinical trial contract management, including pricing models, proposals, and budgets. Additional Skills: Ability to interpret pricing models, prepare proposals, bid grids, and budgets. Ability to work in a matrix team environment and build effective working relationships with sponsors, co-workers, and managers. Ability to exercise independent judgment when negotiating contracts and making decisions. This role offers an exciting opportunity for individuals who have a strong foundation in contract negotiation and management, along with an understanding of the clinical trial landscape. If you are a detail-oriented, proactive individual with a passion for working in the healthcare and clinical trial industries, we encourage you to apply. Qualification : Bachelor's degree required.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Job Title: Deputy Manager Location: Bengaluru Role Overview: As a Deputy Manager responsible for Data Protection and Security, you will play a pivotal role in leading and managing data protection initiatives. You will oversee a range of security tools and processes, ensuring the effective implementation of DLP, data classification, and CASB solutions across a global organization. You will coordinate with internal and external stakeholders, manage teams, and contribute to the development and execution of enterprise-wide data protection strategies. Key Responsibilities: Stakeholder Coordination: Collaborate with both internal and external stakeholders to understand client requirements, processes, and governance guidelines, ensuring effective communication and relationship management. Leadership: Manage and lead a team of professionals, fostering strong leadership skills and creating a collaborative environment for continuous improvement. Data Protection Strategy: Lead cross-functional initiatives to advance the enterprise-wide data protection strategy, including risk-based application inventory, data classification, access and encryption controls, data discovery, and monitoring. Risk Management: Identify and manage data protection risks, proposing improvements to the enterprise data protection strategy, policies, processes, and tools. DLP and Data Protection Tools: Hands-on experience in managing and implementing Data Loss Prevention (DLP) solutions (e.g., Forcepoint), data classification tools (Microsoft AIP, TITUS, Klassify), and CASB solutions (Netskope) for 6000+ end users globally. Data Inventory & Reporting: Oversee the management and administration of data inventory tools, providing operational reports to management teams on the status and effectiveness of data protection measures. Policy Development & Implementation: Spearhead the design, implementation, and policy development for DLP platforms and CASB solutions, ensuring compliance with organizational and client-specific requirements. Endpoint Security & Intrusion Detection: Implement measures to detect and prevent intrusions using Endpoint, EDR (Endpoint Detection and Response) tools, and other security solutions. Security Program Expansion: Develop business procedures for DLP programs, recommend and implement expansions based on evolving business requirements, and ensure ongoing program improvements. Collaboration & Reporting: Collaborate with leadership to present findings, updates, and strategies for enhancing data protection initiatives. Desired Skills & Experience: Technical Expertise: Hands-on experience with DLP (Forcepoint), Data Classification tools (Microsoft AIP, TITUS, Klassify), and CASB (Netskope). Familiarity with file/email/endpoint encryption, data discovery, and data masking solutions. Experience implementing DLP and CASB standards across a large-scale global environment (6000+ users). Leadership & Management: Strong leadership skills with the ability to manage and mentor a team of professionals, ensuring project delivery and quality standards are met. Data Protection Strategy & Risk Management: In-depth knowledge of data protection strategies, risk management, and enterprise-wide data protection frameworks. Communication & Collaboration: Excellent communication skills with the ability to manage stakeholder relationships and work across multiple teams, ensuring alignment on data protection goals. Process & Policy Development: Experience in developing, fine-tuning, and implementing DLP policies, as well as working on continuous improvements in data protection practices. Security Tools & Practices: Hands-on experience with tools like Endpoint Detection and Response (EDR), DLP solutions, and CASB, with a focus on security program implementation and risk mitigation. Qualifications: Education: Bachelor's degree or equivalent in IT, Cybersecurity, or related fields. Experience: 5+ years of relevant experience in data protection, DLP implementation, and team management in a complex global environment. Certifications: Relevant certifications (e.g., CISSP, CISM, CISA, or equivalent) would be an advantage. Why Join Us: In this role, you will have the opportunity to shape and drive critical data protection initiatives across a large global organization. You will lead the implementation of cutting-edge solutions and be an integral part of a dynamic team focused on securing enterprise data and improving security frameworks. This role offers the chance to make a significant impact on the company s data security posture while also growing and mentoring a team of cybersecurity professionals. Qualification : Bachelor's degree or equivalent in IT, Cybersecurity, or related fields.