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Morgan Stanley

<div>
 
 Profile Description
 
 
 
 We&rsquo;re seeking someone to join our team as (Associate) QA Automation Engineer to join a technologically advanced team, focusing on innovation and building out the strategic Payments Technology Platform. Work on QA processes for Payments workstream(s) with heavy focus on execution of automation across the Payments Product Domains dealing with various automation tools and techniques. Candidate will work as part of an Agile squad and interact with other squad members as well as external stakeholders including business and technology partners (local as well as global) across Wealth Management, infrastructure team, architecture team to deliver the objectives.
 
 
 
 WM_Technology
 
 
 
 Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, &amp; Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.
 
 
 
 WM Product Technology
 
 
 
 Wealth Management Product Technology (WMPT) is a dynamic and fast-paced area within the Firm&rsquo;s WM Technology Division. We are responsible for creating innovative technology solutions for the Private Banking Group (PBG), one of the strategic growth areas of the Firm, providing cash management and lending products and services to our WM clients. This includes state-of-the-art technology for a nationwide network of Private Bankers and product specialists who work with Financial Advisors to provide access to products and services such as online banking, cards, deposit products, residential mortgages, securities-based loans, and tailored lending. If you are an exceptional individual who is interested in solving complex problems and building sophisticated solutions in a dynamic team environment, WMPT is the place for you.
 
 
 
 Software Engineering
 
 
 
 This is Associate position that develops and maintains software solutions that support business needs.
 
 
 Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
 At Morgan Stanley India, we support the Firm&rsquo;s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm&rsquo;s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate &amp; Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there&rsquo;s ample opportunity to move across the businesses for those who show passion and grit in their work.
 
 
 Interested in joining a team that&rsquo;s eager to create, innovate and make an impact on the world? Read on&hellip;
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Ability to create Test automation scripts leveraging different tools and technologies.
 </li>
 <li>
 Ability to leverage AI tools to drive efficiency in Software Quality Engineering.
 </li>
 <li>
 Work in Agile software development. Actively participate and contribute to requirement grooming and planning discussions, daily stand-ups, reviews, and other agile ceremonies.
 </li>
 <li>
 Collaborate with business and technology teams located globally.
 </li>
 <li>
 Demonstrate ownership of applications under test and ensure high quality releases.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 3-8 years of hands-on experience in Java and related technologies on the path of a QA Lead.
 </li>
 <li>
 Hands-on experience in BDD Framework (preferably Selenium).
 </li>
 <li>
 Understanding of different databases and data structures.
 </li>
 <li>
 Hands on experience with Unix and/or any scripting language.
 </li>
 <li>
 Understanding of non-functional requirements (performance, security, scalability, reliability, usability)
 </li>
 <li>
 Working experience of Agile software development and DevOps culture.
 </li>
 <li>
 Experienced in JIRA or other Project/Test Management tools.
 </li>
 <li>
 Exposure to Cloud services (Azure or AWS).
 </li>
 <li>
 Should possess strong communication skills.
 </li>
 <li>
 Ability to work in a fast paced and dynamic environment.
 </li>
 <li>
 Knowledge of Financial market, and Wealth Management.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to develop proof of concepts/prototypes.
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values &mdash; putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back &mdash; that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.
 
 
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

QA Automation Engineer (SDET) - Associate/Director - Software Engineering

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 The ability to be a team player
 </li>
 <li>
 The ability and skill to train other people in procedural and technical topics
 </li>
 <li>
 Strong communication and collaboration skills
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Designs and executes testing for applications and systems implemented using custom technologies
 </li>
 <li>
 Has deep skills in core testing, technical testing and business domain/processes to perform all the levels of testing
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Functional, system integration, end to end across the application
 </li>
 <li>
 User acceptance testing using automation
 </li>
 </ul>
</div>

Quality Engineer-Automation

symplr

<div>
 We are looking for a highly motivated
 
 SDET
 
 to join our team and ensure the quality and reliability of applications that incorporate
 
 AI/ML components
 
 . This role demands strong skills in
 
 automated testing, using
 
 scripting like Python,
 
 TypeScript
 
 , and hands-on experience with
 
 cloud infrastructure (preferably AWS)
 
 . Exposure with solutions built using AI/ML/GenAI is a key advantage.
 
 
 
 Duties &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement automated test suites for web and backend systems using any scripting language, preferably python or typescript.
 </li>
 <li>
 Expert in developing AI/ML solutions using python
 </li>
 <li>
 Work closely with development, ML, and DevOps teams to test features powered by AI/ML models.
 </li>
 <li>
 Validate ML model predictions, data inputs/outputs, and model integration with application logic.
 </li>
 <li>
 Build and maintain test infrastructure on AWS, including test environments, CI/CD pipelines, and test execution in cloud-based containers.
 </li>
 <li>
 Participate in code reviews and pair programming for quality gatekeeping.
 
 
 </li>
 </ul>
 
 Skills Required
 
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in a Development or QE Automation or SDET role.
 </li>
 <li>
 Strong hands-on experience using AI/ML models and python or typescript for test automation.
 </li>
 <li>
 Strong experience in prompt engineering
 </li>
 <li>
 Experience working in AWS environments, including EC2, S3, Lambda, or CloudWatch.
 </li>
 <li>
 Experience working with AWS Bedrock, Claud LLM or SLM&rsquo;s
 </li>
 <li>
 Familiarity with AI/ML model integration and understanding of the basics of model behavior, metrics, and quality concerns.
 </li>
 <li>
 Experience with REST API testing, JSON, and HTTP protocols.
 </li>
 <li>
 Working knowledge of CI/CD pipelines (e.g., GitHub Actions, Jenkins, CodePipeline).
 </li>
 <li>
 Understanding of software testing principles and test-driven development.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 </ul>
</div>

Software 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
 
 
 
 
 Job Description :
 
 
 
 We are looking for skilled and motivated Software test engineer/developer to join our team, When a new feature has been implemented on a software release, that software change needs to be synced from the original release to the other software releases where the change is also needed.
 
 
 
 Job Description - Grade Specific
 
 
 
 
 Key responsibilities:
 
 
 
 <ul>
 <li>
 &emsp;&emsp;Code synchronization between various framework and versions.
 </li>
 <li>
 &emsp;&emsp;Collaborate with backend and frontend teams to ensure smooth code migrations.
 </li>
 <li>
 &emsp;&emsp;Troubleshoot and resolve issues related to code sync and scalability.
 </li>
 <li>
 &emsp;&emsp;Programming Language - C, C++, Python
 </li>
 <li>
 &emsp;&emsp;Good to have - Familiar with development environment: JIRA, Git, CI/CD, CWBD, Devbenches, TestArena, ClearCase
 </li>
 <li>
 &emsp;&emsp;Knowledge of Agile framework &ndash; SAFe, and Scrum
 </li>
 <li>
 &emsp;&emsp;Good communication skills
 
 
 </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 C++ Unit test Developer STAT

HDFC Bank

<div>
 
 
 Job Purpose
 
 
 
 An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks
 
 
 
 Job Responsibilities (JR): 6 &ndash; 8 Areas
 
 
 
 
 Actionable (4-6)
 
 
 <ul>
 <li>
 Design and implement the necessary infrastructure (e.g., compute clusters, storage, networking) for AI applications, including cloud platforms like AWS, Azure, or GCP
 </li>
 <li>
 Design, build, and train generative AI models using techniques like deep learning and neural networks
 </li>
 <li>
 Develop and maintain scalable, efficient, and reliable data pipelines for AI models, ensuring data quality and integrity.
 </li>
 <li>
 Integrate machine learning models into AI platforms and deploy them into production environments, often using AIOps, MLOps and LLMOps frameworks
 </li>
 <li>
 Design and implement monitoring strategies for AI platforms and optimize their performance for scalability and real-time applications.
 </li>
 <li>
 Perform machine learning tests and statistical analysis to fine-tune the machine learning systems
 </li>
 <li>
 Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, performance evaluation and training of AI/ML solutions Extend existing machine learning libraries and frameworks
 </li>
 <li>
 Implemented and evaluated machine learning models, including supervised, unsupervised, and reinforcement learning techniques, for B2C use cases
 </li>
 <li>
 Strong experience with deep learning frameworks like TensorFlow and PyTorch
 </li>
 <li>
 Used Python or other programming models to build and train a deep learning model for Document Classification, Extraction, Signature matching, STT, TTS kind of use cases
 </li>
 <li>
 Demonstrated ability to fine-tune and optimize models using large data sets
 </li>
 <li>
 Certified in AI/ML in any of the cloud platforms like AWS, Azure, or GCP and experience deploying AI/ML models in the cloud
 </li>
 <li>
 Effective communication skills, both written and verbal, with the ability to effectively communicate technical concepts to non-technical audiences
 </li>
 </ul>
 
 
 Key Skills :
 
 
 <ul>
 <li>
 Strong background in designing and implementing machine learning and deep learning algorithms and responsible AI practices at enterprise scale and speed
 </li>
 <li>
 Working knowledge with ML platforms like TensorFlow, PyTorch, or Hugging Face
 </li>
 <li>
 Proficiency in Training, Tuning and Deploying GenAI models based on LLMs, GANs, and VAEs
 </li>
 <li>
 Hands on expert in programming languages like Python, Java, or C++, and have experience with cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and data pipeline tools (e.g., Apache Kafka, Spark)
 </li>
 <li>
 Experience working in cross-functional teams
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 </ul>
 
 
</div>

AI / ML Engineer

Red Hat

<div>
 
 About The Job
 
 
 
 Red Hat&rsquo;s Engineering team is looking for a Software Engineer to join us in Bangalore, India. In this role, you will be joining the Operator Foundry team, to work on automating, improving and streamlining the release process of the Red Hat products. You will be working on Open Source Projects, collaborating with other Continuous Integration (CI) engineers and members from the Red Hat Product Development Engineering teams. You will work with the latest technologies available in the market today such as Virtualization technologies (Red Hat OpenShift, Docker &amp; Kubernetes), Change/Configuration Management technologies (Ansible, Jenkins, Tekton) and Variety of Language Bindings (Go, Java, Python, Groovy).
 
 
 
 What will you do?
 
 
 
 <ul>
 <li>
 Work with various CI and CD tools and assist with products like Jenkins, Ansible, OpenShift that enable Container Management/Orchestration
 </li>
 <li>
 Actively participate in the release orchestration for containers. This includes community, infrastructure and support
 </li>
 <li>
 Provide support for CI/CD across various projects, streams, etc
 </li>
 <li>
 Write Go, Groovy, Python, Ansible and Shell scripts to automate and integrate with other projects and automate existing manual flows
 </li>
 <li>
 Develop appropriate metrics to demonstrate performance at improving operational efficiency
 </li>
 <li>
 Improve operations by conducting systems analysis; recommending changes in policies and procedures
 </li>
 <li>
 Improve current solutions and workflows. Prefer appropriately simple, repeatable solutions over more complex and failure prone ones
 </li>
 <li>
 Communicate &amp; work effectively with all levels of staff including senior management
 </li>
 <li>
 Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
 </li>
 <li>
 Recognize and adopt best practices in documentation, testing, security, operational support at scale, and efficient use of resources
 
 
 </li>
 </ul>
 
 What will you bring?
 
 
 
 <ul>
 <li>
 Graduate of computer science or software engineering or equivalent work experience
 </li>
 <li>
 3-5 years of proven experience with Linux operating system at least as a power user
 </li>
 <li>
 3-5 years of experience writing code either in Go, Java, Python, Groovy or Bash
 </li>
 <li>
 Problem solving &amp; troubleshooting skills, including performing root cause analysis for preventative analysis
 </li>
 <li>
 Proven ability of self learning and technical understanding of processes
 </li>
 <li>
 Work under minimal supervision on complex issues to deliver great results on schedule
 </li>
 <li>
 Works equally as well as an individual contributor or as a team member
 </li>
 <li>
 Good English written and verbal communication skills
 
 
 </li>
 </ul>
 
 The Following Are Considered a Plus
 
 
 
 <ul>
 <li>
 Jenkins declarative or scripted pipeline experience and/or experience maintaining or developing Jenkins plugins
 </li>
 <li>
 Experience of developing CICD workflows using Tekton in an OpenShift/Kubernetes based container management platform
 </li>
 <li>
 Demonstrated experience containerizing applications and/or workflows using Ansible, ArgoCD, Tekton etc
 </li>
 <li>
 Agile experience; Scrums, Backlog grooming, etc
 </li>
 <li>
 Presentations skills and public speaking skills for conferences and demos
 </li>
 <li>
 Contributing to an open source project or community
 
 
 </li>
 </ul>
 
 About Red Hat
 
 
 
 Red Hat is the world&rsquo;s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
 
 
 
 Inclusion at Red Hat
 
 
 
 Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
 
 
 
 Equal Opportunity Policy (EEO)
 
 
 
 Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
 
 
 Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
 
 
 Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
 
 
</div>

Psyche Graphics W.L.L. Bahrain

<div>
 
 About Us
 
 
 
 Mercari is a Japan-based C2C marketplace company founded in 2013 with the mission to "Create value in a global marketplace where anyone can buy &amp; sell." From being the first tech unicorn from Japan before its IPO in 2018 we have come a long way towards becoming a global player and continuously and diligently work towards our transformation journey with a strong focus on our mission.
 
 
 Since its inception, Mercari Group has worked to grow its services, investing in both our people and technology. Over time Mercari has expanded from being the top player in the C2C marketplace in Japan to new geographies like the U.S. We have also successfully launched new businesses such as Merpay, which is a mobile payment service platform with a vision to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment service but also on credit. Today, Mercari Group is made up of multiple subsidiary businesses including logistics, B2C platform, blockchain, and sports team management.
 
 
 For our services to be utilized by people worldwide; however, there is still a mountain of work ahead of us. This endeavor naturally requires the capability of the best talent and minds, and that is exactly the reason for us to launch the India Center of Excellence. With your help, we will continue to take on the world stage and strive to grow into a successful global tech company.
 
 
 
 Our Culture
 
 
 
 To achieve our mission at Mercari, our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro and Move Fast. Our organization is also shaped by our four foundations: Sustainability, Diversity &amp; Inclusion, Trust &amp; Openness, and Well-being for Performance. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and something we want to preserve throughout our organization. We invite you to read the Mercari Culture Doc which summarizes the behaviors and mindset shared by Mercari and its employees. We continue to build an environment where all of our members of diverse backgrounds are accepted and recognized, and where they can thrive while holding dear to Mercari's culture.
 
 
 
 Work Responsibilities
 
 
 
 As an AI Engineer in our new AI Taskforce team, you will be at the forefront of designing, developing, and deploying innovative AI applications using foundation models (e.g., Large Language Models, Multimodal Models) across Mercari. You will build foundational platforms and services that empower product teams to ship robust, scalable AI-powered features. This role is crucial for bridging the gap between cutting-edge research and production systems that deliver measurable value to millions of users, directly contributing to our mission to "Create value in a global marketplace where anyone can buy &amp; sell."
 
 
 
 Bold Challenges
 
 
 
 <ul>
 <li>
 Build Foundational AI Services: Design, build, and deploy core generative AI applications and services using modern techniques like prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning to solve high-impact problems across the Mercari ecosystem
 </li>
 <li>
 Drive AI Adoption: Collaborate closely with product, engineering, and infrastructure teams to integrate powerful AI capabilities into the Mercari app, architecting modular and scalable solutions that other teams can build upon
 </li>
 <li>
 Ensure AI Quality and Safety: Develop and champion robust evaluation pipelines to rigorously measure, monitor, and improve model performance, focusing on accuracy, latency, cost, and responsible AI principles
 </li>
 <li>
 Lead the Full AI Lifecycle: Own features end-to-end, from problem scoping and prototyping to production deployment, maintenance, and iteration based on quantitative metrics and qualitative user feedback
 </li>
 <li>
 Innovate and Educate: Be a key technical voice on our new central team. Stay at the forefront of advancements in AI engineering and share your knowledge to help uplift the technical capabilities of the entire organization
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 2-6 years of professional software engineering experience, with a demonstrated focus on building and deploying AI/ML-powered systems in production
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field
 </li>
 <li>
 Proficiency in Python and hands-on experience building applications with Large Language Models (LLMs) and familiarity with core concepts such as prompt engineering, RAG, and fine-tuning
 </li>
 <li>
 Experience building Model Context Protocol(MCP) servers in either Python or Go
 </li>
 <li>
 Solid understanding of software engineering fundamentals and the ability to write clean, maintainable, and production-ready code
 </li>
 <li>
 Strong problem-solving skills and a data-driven approach to decision-making
 </li>
 <li>
 Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders across multiple teams.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience designing and implementing systematic evaluation strategies for generative AI systems (e.g., AI-as-judge, human-in-the-loop)
 </li>
 <li>
 Experience with cloud platforms (GCP, AWS, etc.) and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Contributions to open-source projects or publications in top-tier AI/ML conferences
 </li>
 <li>
 Experience with microservice architecture and development
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Employment Status: Full-time
 </li>
 <li>
 Office: Bangalore
 </li>
 <li>
 Hybrid workstyle: We believe in high performance and professionalism. We work from the office 2 days/week and work from home 3 days/week
 </li>
 <ul>
 <li>
 To build a strong &amp; highly-engaged organization in India, we highly encourage everyone to work from our Bangalore office, especially during the initial office setup phase
 </li>
 <li>
 We will continue to review and update the policy to address future organizational needs
 </li>
 </ul>
 <li>
 Work Hours: Full flextime (no core time)
 </li>
 <ul>
 <li>
 Flexible to choose working hours other than team common meetings
 </li>
 </ul>
 </ul>
</div>

AI Engineer

Explore 143+ Automation engineer in Mangaluru this October. Find roles across top companies and apply now to boost your career.

143 automation engineer jobs IN Mangaluru

QA Automation Engineer (SDET) - Associate/Director - Software Engineering

Quality Engineer-Automation

Software Engineer

Python C++ Unit test Developer STAT

AI / ML Engineer

Software Engineer

AI Engineer