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automation software engineer

Capgemini Engineering

<div>
 
 
 Python Automation Engineer
 
 
 
 
 Location:
 
 Bangalore
 
 
 
 Experience:
 
 4&ndash;9 years
 
 
 
 Notice Period:
 
 Immediate to 30 days
 
 
 
 
 
 Choosing Capgemini means choosing a place where you&rsquo;ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what&rsquo;s possible. Join us in helping leading organizations unlock the value of technology and drive scalable, sustainable growth.
 
 
 
 
 
 
 Your Role
 
 
 
 
 
 
 As a Python Automation Engineer, you will be responsible for designing and implementing automation solutions that enhance system efficiency and reliability. You&rsquo;ll work with cross-functional teams to develop robust automation frameworks and contribute to continuous improvement initiatives.
 
 
 
 
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Develop and maintain automation scripts using Python and Robot Framework.
 </li>
 <li>
 Work in Linux environments to support automation and deployment tasks.
 </li>
 <li>
 Collaborate with development and QA teams to identify automation opportunities.
 </li>
 <li>
 Execute automated test cases and analyze results to ensure system stability.
 </li>
 <li>
 Contribute to CI/CD pipelines and automation strategy.
 </li>
 <li>
 Participate in technical discussions and knowledge-sharing sessions.
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 
 <ul>
 <li>
 4&ndash;9 years of experience in automation engineering.
 </li>
 <li>
 Strong proficiency in Python and Robot Framework.
 </li>
 <li>
 Hands-on experience with Linux-based systems.
 </li>
 <li>
 Good understanding of test automation principles and practices.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Love About Working Here
 
 
 
 
 
 <ul>
 <li>
 Flexible work arrangements and supportive policies for work-life balance.
 </li>
 <li>
 Inclusive culture that fosters innovation and collaboration.
 </li>
 <li>
 Access to continuous learning and certifications in emerging technologies.
 </li>
 </ul>
 
 
 
 
 
 About Us
 
 
 
 
 
 
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
</div>

Python Automation Engineer

Vedantu

<div>
 
 Vedantu is a pioneer in the EdTech industry, transforming how students learn through interactive online classes and personalized learning journeys. Our mission is to make high-quality education accessible to every learner through cutting-edge technology and AI innovation. We are a fast-paced, innovation-driven team passionate about solving real-world challenges in education through scalable systems, intelligent automation, and advanced AI.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Software Engineer (Backend &amp; AI) with 1&ndash;2 years of experience to join our core technical team. In this role, you will design, build, and deploy scalable backend systems while developing AI-driven features that enhance learning experiences for millions of students. You will work with modern technologies such as Java (Spring Boot), Node.js, PostgreSQL, and MongoDB, while integrating intelligent automation and LLM-based solutions into our platform.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable, low-latency backend services and RESTful/gRPC APIs to support a large number of concurrent users.
 </li>
 <li>
 Implement real-time features using WebSockets and event-driven architectures for interactive learning experiences.
 </li>
 <li>
 Collaborate with cross-functional teams to build and integrate AI agents, LLM-based chatbots, tutoring assistants, and content-generation tools using frameworks such as LangChain or LlamaIndex.
 </li>
 <li>
 Develop Retrieval-Augmented Generation (RAG) systems, including vector embeddings, semantic search, and optimized information retrieval workflows.
 </li>
 <li>
 Optimize database schemas, queries, and system performance for reliability, scalability, and efficiency.
 </li>
 <li>
 Ensure high code quality through unit testing, integration testing, code reviews, and adherence to CI/CD best practices.
 </li>
 <li>
 Continuously research and implement emerging AI and backend technologies to enhance platform performance and student learning outcomes.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 <ul>
 <li>
 1&ndash;2 years of professional software development experience.
 </li>
 <li>
 Strong proficiency in Java (Spring Boot) or Node.js.
 </li>
 <li>
 Experience with PostgreSQL, MongoDB, and LLM frameworks (LangChain, LlamaIndex).
 </li>
 <li>
 Knowledge of vector databases (Pinecone, Weaviate, PGVector) and semantic search.
 </li>
 <li>
 Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
 </li>
 <li>
 Strong understanding of software architecture, design patterns, and data structures.
 </li>
 <li>
 Passion for innovation and interest in the EdTech and AI domains.
 </li>
 </ul>
</div>

Software Engineer (Backend & AI)

Intuit

<div>
 
 Overview
 
 
 
 We are looking for an experienced Machine Learning Engineer to join Intuit&rsquo;s AI, Research, and Futures organization to build AI/Machine Learning solutions that leverage emerging new technologies and capabilities and unlock entirely new AI-driven experiences for our customers. You will be part of a vibrant team of AI Scientists and MLEs and lead efforts to translate cutting-edge research into robust, scalable AI systems that deliver measurable customer impact.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Model Prototyping: The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.
 </li>
 <li>
 Model Productionalization: Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.
 </li>
 <li>
 Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off a performance need or directed work based off of ideas that other data science team members propose.
 </li>
 <li>
 Machine Learning Tools: The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
 </li>
 <li>
 Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
 </li>
 <li>
 Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
 </li>
 <li>
 Understand machine learning principles (training, validation, etc.)
 </li>
 <li>
 Knowledge of data query and data processing tools (i.e. SQL)
 </li>
 <li>
 Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
 </li>
 <li>
 Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
 </li>
 <li>
 Mathematics fundamentals: linear algebra, calculus, probability
 </li>
 <li>
 Interest in reading academic papers and trying to implement state-of-the-art experimental systems
 </li>
 <li>
 Experience using deep learning architectures
 </li>
 <li>
 Experience deploying highly scalable software supporting millions or more users
 </li>
 <li>
 Experience with GPU acceleration (i.e. CUDA and cuDNN)
 </li>
 <li>
 Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
 </li>
 <li>
 Experience with NLP and NLU
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

Software Engineer 2- Machine learning

Kapture CX

<div>
 
 About The Role
 
 
 
 We are looking for a
 
 Software Engineer
 
 passionate about
 
 Generative AI
 
 to join our team. You will work on building intelligent, production-grade applications using cutting-edge models like GPT, LLaMA, Claude, or open-source alternatives. This is a hybrid role that combines software engineering best practices with deep interest in AI/ML, especially
 
 LLM-based
 
 applications such as
 
 RAG, chatbots, agentic systems, and prompt engineering
 
 .
 
 
 You&rsquo;ll work alongside product managers, ML researchers, and engineers to deliver robust, scalable solutions with real-world impact.
 
 
 
 Key Responsibilities
 
 
 
 Build, deploy, and maintain
 
 LLM-powered applications
 
 using APIs or open-source models.
 
 
 Implement and optimize
 
 RAG (Retrieval-Augmented Generation)
 
 pipelines.
 
 
 Integrate and experiment with
 
 LangChain, LlamaIndex
 
 , and
 
 agentic frameworks
 
 .
 
 
 Write production-grade code and deploy services in cloud environments (AWS, GCP, Azure).
 
 
 Collaborate cross-functionally with design, ML, and backend teams.
 
 
 Stay up to date with latest in GenAI: open models, prompting strategies, fine-tuning, etc.
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 2&ndash;4 years of experience in software development, preferably in Python or JavaScript/TypeScript.
 
 
 Solid understanding of
 
 data structures, algorithms, and system design
 
 .
 
 
 Experience building and deploying REST APIs or microservices.
 
 
 Familiarity with
 
 GenAI concepts
 
 &ndash; LLMs, transformers, vector embeddings.
 
 
 
 Hands-on Experience With One Or More
 
 
 
 
 LangChain / LlamaIndex
 
 
 
 
 OpenAI / Cohere / Anthropic / HuggingFace models
 
 
 
 
 Pinecone / Weaviate / FAISS / Qdrant (vector DBs)
 
 
 
 
 Nice-to-Have (Bonus Skills)
 
 
 
 Experience working on
 
 chatbots
 
 ,
 
 document Q&amp;A
 
 , or
 
 agentic workflows
 
 .
 
 
 Exposure to
 
 ML model fine-tuning
 
 or
 
 prompt optimization
 
 .
 
 
 Familiarity with
 
 Docker
 
 ,
 
 Kubernetes
 
 , or
 
 CI/CD pipelines
 
 .
 
 
 Contributions to open-source GenAI projects.
 
 
 
 What You'll Get
 
 
 
 Work on real-world, AI-first products from scratch.
 
 
 Exposure to state-of-the-art LLM tools and platforms.
 
 
 Learn from a collaborative, hands-on engineering + ML team.
 
 
 Fast-paced environment with full ownership and impact.
</div>

Software Engineer- Gen AI

Aadmi

<div>
 Description
 
 Our company is managing the recruitment process internally and is not engaging with staffing agencies or external recruiters at this time. Thank you for your understanding.
 
 
 
 
 About the Company
 
 Our organization works with clients to promote data protection best practices and establish compliance with industry standards and regulations. More than 225,000 users in 100+ countries rely on our tools, technology, and strategic security support. We are a privately held technology company with a global presence, currently seeking an Enterprise Software Quality Assurance Engineer to join our team.
 
 
 
 
 Accountability Summary
 
 The Enterprise Software Quality Assurance Engineer will be responsible for ensuring the quality and reliability of our software products on web and mobile platforms through meticulous manual and automated testing and validation. A member of the Software Development Team, they will be part of a cross-functional team that is responsible for the full software development life cycle, from conception to deployment. Applicants should have hands-on and in-depth experience with comprehensive testing strategies and automation frameworks and be highly analytical, organized, detail-oriented, self-managed, and possess excellent communication skills.
 
 
 
 
 Duties and Responsibilities
 
 The Enterprise Software Quality Assurance Engineer will be responsible for the following tasks:
 
 <ul>
 <li>
 Review product specifications and technical design documents to understand them and provide feedback.
 </li>
 <li>
 Design, execute, and maintain comprehensive test plans for web and mobile platforms.
 </li>
 <li>
 Perform functional, regression, integration, user acceptance and performance testing across multiple browsers, devices and operating systems.
 </li>
 <li>
 Design, develop and execute automation test scripts using Selenium, Playwright, or similar frameworks.
 </li>
 <li>
 Conduct cross-browser and cross-platform testing.
 </li>
 <li>
 Perform API testing using tools like Postman.
 </li>
 <li>
 Identify, document, and track defects using JIRA and similar systems.
 </li>
 <li>
 Collaborate with the development and product team to reproduce and resolve issues.
 </li>
 <li>
 Validate UI/UX and performance across different devices and screen resolutions.
 </li>
 <li>
 Contribute to continuous improvement of QA processes, automation coverage, and documentation.
 </li>
 </ul>
 
 
 
 Requirements
 <ul>
 <li>
 Bachelor's degree in computer science, software engineering, or a related field.
 </li>
 <li>
 2-3 years of hands-on experience in quality assurance or software testing of web and mobile platforms.
 </li>
 <li>
 Proficient in Python to create test scripts and manage automated testing.
 </li>
 <li>
 Knowledge of MySQL databases.
 </li>
 <li>
 Experience with Selenium, Playwright, Zephyr, TestRail, JIRA, Git/Bitbucket, CI/CD tools, Postman, and the AWS cloud platform.
 </li>
 <li>
 Familiarity with cross-browser/platform testing tools.
 </li>
 <li>
 Strong attention to detail, analytical skills, and a commitment to maintaining quality standards.
 </li>
 <li>
 Strong understanding of QA methodologies and testing processes, especially within an Agile environment.
 </li>
 </ul>
 
 
 
 Compensation
 <ul>
 <li>
 The salary offer to the successful candidate will be based on job-related education, geographic location, training, licensure and certifications, and other factors.
 </li>
 <li>
 We provide significant career growth, competitive compensation, and a benefits package including generous personal time off, holiday pay, health insurance, and pension.
 </li>
 </ul>
</div>

Enterprise Software Quality Assurance Engineer

Capgemini

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 Job Description
 
 
 
 
 Python Automation Engineer (PowerShell)
 
 
 
 
 Location:
 
 Bangalore
 
 
 
 Experience:
 
 4&ndash;9 years
 
 
 
 Notice Period:
 
 Immediate to 30 days
 
 
 Choosing Capgemini means choosing a place where you&rsquo;ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what&rsquo;s possible. Join us in helping leading organizations unlock the value of technology and drive scalable, sustainable growth.
 
 
 
 Your Role
 
 
 
 As a Python Automation Engineer, you will be responsible for developing and maintaining automation frameworks that streamline system operations and testing processes. You&rsquo;ll work across Linux environments and scripting platforms to deliver efficient and scalable automation solutions.
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Design and implement automation scripts using Python and Robot Framework.
 </li>
 <li>
 Develop and maintain PowerShell and Bash scripts for system-level automation.
 </li>
 <li>
 Work in Linux environments to support deployment and testing activities.
 </li>
 <li>
 Collaborate with cross-functional teams to identify automation opportunities and improve workflows.
 </li>
 <li>
 Participate in CI/CD processes and contribute to automation strategy.
 </li>
 <li>
 Document automation procedures and support internal capability-building initiatives.
 
 
 </li>
 </ul>
 
 Job Description - Grade Specific
 
 
 
 
 Your Profile
 
 
 
 4&ndash;9 years of experience in automation engineering.
 
 
 <ul>
 <li>
 Strong proficiency in Python, PowerShell, and Bash scripting.
 </li>
 <li>
 Hands-on experience with Linux systems and Robot Framework.
 </li>
 <li>
 Solid understanding of automation principles and best practices.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Love About Working Here
 
 
 
 <ul>
 <li>
 Flexible work arrangements and supportive policies for work-life balance.
 </li>
 <li>
 Inclusive culture that fosters innovation and collaboration.
 </li>
 <li>
 Access to continuous learning and certifications in emerging technologies.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Python Automation

Impetus

<div>
 
 Locations: Bangalore, Noida, Gurgaon, Pune, Indore, Hyderabad.
 
 
 
 
 
 Experience: 4 - 12 Years.
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Possess strong logical and analytical abilities in problem-solving and solution designing
 </li>
 <li>
 Use case derivation and solution creation from structured/unstructured data
 </li>
 <li>
 Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improvethe performance &amp; capabilities of LLMs
 </li>
 <li>
 Develop an end-to-end machine learning pipeline that includes model development, tuning, implementation, deployment, and MLOps
 </li>
 <li>
 An end-to-end model pipeline for transformer-based use cases which includes model development and fine-tuning.
 </li>
 <li>
 Work closely with business and product management teams to develop and implement analytics solutions.
 </li>
 <li>
 Communicate results to diverse technical and non-technical audiences.
 </li>
 <li>
 Research and Innovation: Stay up to date with the latest advancements in the fields of AI.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills:
 
 
 
 
 
 
 Python, Scikit-Learn, Transformer, PyTorch, SQL, LangChain
 
 
 Model building, Hyperparameter tuning and Model performance metrics, Model Deployment of machine learning models
 
 
 Deep learning/LLM models finetuning and evaluation
 
 
 
 Good to Have Skills -
 
 
 
 LLMOps
 
 
 Cloud (AWS)
 
 
 
</div>

AI/ML Engineer

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