11+ Test Manager Jobs in Bangalore (Bengaluru) | Test Manager Job openings in Bangalore (Bengaluru)

Requirements:

·  UIPath certification

·  Proficient in UI Path Platform, Test Manage, Test Suite, with 6+ years of Experience on Test Automation

·  Hands-on experience in building automated scripts using Low-Code No-Code Platform (UIpath)

·  Experience on Testing SOAP or REST API

·  Experience building data driven tests and frameworks for Web, Windows, and Micro services.

·  Understanding of test methodologies (regression, functional, unit, integration, code coverage, performance, etc.)

·  Experience building data driven tests and frameworks for Web, Windows, and Micro services.

·  Designing and developing test automation frameworks and understanding of test automation design patterns and software testing principles.

·  Familiarity with Relational Databases and SQL

·  Bachelor's degree in computer science, engineering or related field

·  Minimum of 7 years of experience in software testing and test automation

·  Minimum of 5 years of experience in UIPath test automation

·  Strong knowledge of test automation frameworks and tools

·  Experience with continuous integration and continuous delivery (CI/CD) pipelines

·  Ability to analyze and debug complex issues

·  Excellent problem-solving skills

·  Strong communication skills and ability to work collaboratively in a team environment

·  Knowledge of agile methodologies

 Flexibility

Need to be flexible with respect to working times, provide two hours overlap with IST (Central Time) and UK time on an ongoing basis.

If you are passionate about test automation and have experience with UIPath, we encourage you to apply for this exciting opportunity. We offer a competitive salary, excellent benefits, and opportunities for growth and development.

Minimum 6+ years of experience building global enterprise level systems Extensive experience developing complex distributed event-based microservices using C#/.Net Core Knowledge with containerisation (Docker, Kubernetes) Experience with cloud platforms (Azure, AWS) Exposure with distributed messaging / streaming platforms (Apache Kafka) Involvement building CI/CD pipelines (ideally Azure DevOps) Excellent knowledge of Relational Databases SQL and No-SQL databases

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Roles and Responsibilities:

• Min 5 years of experience in designing and developing enterprise software applications including the experience in architecting and developing applications on the Android platform.
• Experience in Java, Kotlin and dependency injection for Android app development.
• Experience with Media, Telecom, FCM, Network, JSON, XML, Web Services and SQLite.
• Expertise in mobile and Java frameworks/accelerators.
• Knowledge of WebRTC, XMPP, DAO, Firebase, RESTAPIs, Crashlytics, and JetPack libraries.
• Advanced experience with Android Studio, Gradle, Git, and continuous integration.
• Strong knowledge of the Android mobile landscape, architectures, trends, and emerging technologies.
• Fully conversant with SOLID principles, software development frameworks, design patterns, and enterprise in mobile application integration
• Experience with XMPP and Smack libraries and with RxJava, Dagger2 is desirable

• Needs to generate qualified opportunities within target industry accounts wherein each opportunity should contain:
• Diagnosis of the prospect's business pains, where Unbxd solutions can fit in, understanding of prospects' buying cycle, procurement process, budgets etc. 
• Needs to identify accounts and do extensive prospect territory planning for the given region.
• Also conduct detailed prospect research within focused industry verticals. 
• Ability to develop a 'Why Unbxd, Why Now' proposition for each prospect interaction, identify and follow up on all marketing leads. 
• Support all the industry or solution specific marketing events in the region. 
• Ongoing record keeping and forecasting within Salesforce CRM & make use of prospecting support tools such as LinkedIn, eTailInsights etc.....

Job Description: Speech Recognition Engineer

3 years of industry experience

Responsibility:

 Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or

Deep Speech using PyTorch or Tensorflow

 Assist to define technology required for Speech to Text besides core engine

and to design integration of these technologies.

 Work on improvement of model's accuracy and guide the team with best practices.

Desired experience:

 Good understanding of machine learning(ML) tools.

 Should be well versed in classical speech processing methodologies like hidden

Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural

networks (ANNs), Language modeling, etc.

 Hands-on experience of current deep learning (DL) techniques like Convolutional

neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term

memory (LSTM), connectionist temporal classification (CTC), etc used for

speech processing is essential.

 The candidate should have hands-on experience and any of the end-to-end

implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep

Speech

 Hands-on PyTorch and Tensorflow experience is desirable.

 Experience in techniques used for resolving issues related to accuracy, noise,

confidence scoring etc.

 Ability to implement recipes using scripting languages like bash

 Ability to develop applications using python, c++, Java

 Knowledge of Transformer Models like BERT-base. ELMo, ULM-FIT

 Experience in CI/CD pipeline, MLOps processes

 Hands-on deployment experience using cloud applications like AWS, GCP

Location: Bangalore

Desirable Skills: ML, Knowledge of Speech Recognition frameworks such as ESPNET

or FairSeq or Athena or Deep Speech etc, Hands-on experience of deep learning (DL)

techniques like CNN, RNN, LSTM etc., AWS, GCP

Skills Needed

• Hands-on extensive Salesforce experience
• Experience in lightning implementation, LWC
• Ability to Perform configuration, customization, integration and support of Salesforce.com
• Hands-on Experience in customizing using APEX, Triggers, Batch Apex, Visualforce, etc
• Understanding of the Salesforce.com data model
• Must-Have hands-on experience on Deployments using Change set, , Managing release dependencies across multiple projects
• Understanding the release management and software development life cycle

Primary Responsibilities:

• Principal Engineers  are responsible for driving Technology and Engineering Best Practices in their respective teams.
• They should demonstrate a high level of ownership and accountability for their product and software systems.
• They are expected to go above and beyond their role by contributing in tools, processes and practices which bring operational efficiency and are aligned with business goals.
• They are expected to actively participate in development along with team members and create systems and modules which represent a working model of engineering best practices.
• They are expected to participate in code reviews, design reviews, architecture discussions.
• They are responsible for the Engineering metrics/health of their systems including strong alerting and monitoring mechanisms.
• They are expected to lead the adoption of best practices around coding, designing, performance of systems in a team.

Experience or Skills Required:

• B.Tech or Advanced degree in Computer Science with 6-12 years of industry experience in product based companies.
• Proficiency with Basic libraries for machine learning such as scikit-learn and pandas
• Experience in building solutions based on Linear Regression, Logistic Regression, K Nearest neighbor, SVM, Random Forest, Decision Trees.
• Strong experience with at least one of programming languages: Python, Java, Vertx, Golang
• Strong experience in building Server side reusable components based on Microservices or Distributed Architecture.
• Solid coding skills with ability to lead teams in identifying clearing tech debts for large scale code base.
• Good understanding & experience in improving performance of scalable and real time responsive applications.
• Excellent Problem Solving skills and an aptitude to approach problems from first principles and build solutions for those.
• Must have excellent communication (verbal & written), interpersonal, leadership, and problem solving skills.
• Must be able to work independently and enjoy working at a fast paced start-up environment
• Excellent Mentoring skills. Be the technical mentor to your team.
• Must be comfortable working in fuzzy environments where boundaries are not clearly defined.

Job Description

Experience should have minimum 2 years.

Proficient with ReactJS/Redux

Designing and developing user interface solutions for websites, web and Mobile applications.

Design product and website layouts, assets, flows, sitemaps etc.

Create and maintain UI guidelines and templates.

Extensive knowledge of web technologies and building large scale web applications.

Expertise in JavaScript, HTML5 and CSS3 and Adoptive / Responsive web Design & Cross browser experience.

Expertise with cross-browser, cross-platform, and design constraints on the web.

Interact with other team members to incorporate innovations and vice versa.

Experience in working with Agile Methodology.

Ability to solve problems creatively and effectively.

Should possess excellent communication skills.

• Must have B.E. or B.Tech in any stream (Mechanical/Automobiles preferable)
• Looking for sales executives with an entrepreneur mindset. 
• Excellent communication
• Dynamic to work on different ideas,
• Demonstrated ability to collaborate with a distributed sales team
• Promotes a strong sense of urgency for reaching goals and key deliverables.
• Acts without being told what to do. Brings new ideas to the company

• Strong grasp of computer science fundamentals and excellent problem-solving skills.
• Good understanding of software engineering practices, Data Structures & Algorithms.
• Solid programming skills in Java/Kotlin.
• Good communication skills.
• Strong sense of ownership and accountability.
• Experience in Reactive programming, Asynchronous programming and Unit Testing will be an added advantage.
• 6-10 years of experience in product driven organization.