software engineer

engineer

ai engineer

Teradata

<div>
 
 Our Company
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What You'll Do: Shape the Way the World Understands Data
 
 
 
 At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics&trade; platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of
 
 autonomous and agentic systems
 
 
 
 We&rsquo;re building intelligent systems that go far beyond automation &mdash; they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you&rsquo;ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.
 
 
 You&rsquo;ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software &mdash; from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems.
 
 
 If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.
 
 
 
 Who You'll Work With: Join Forces with the Best
 
 
 
 Imagine collaborating daily with some of the brightest minds in the company &ndash; individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions.
 
 
 You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.
 
 
 
 What Makes You a Qualified Candidate: Skills in Action
 
 
 
 <ul>
 <li>
 Experience working with modern data platforms like Teradata, Snowflake, and Databricks
 </li>
 <li>
 Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.
 </li>
 <li>
 You are an excellent backend engineer who codes daily and owns systems end-to-end.
 </li>
 <li>
 Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
 </li>
 <li>
 Strong system design skills and understanding of distributed systems.
 </li>
 <li>
 You&rsquo;re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
 </li>
 <li>
 Hands-on experience with Machine learning &amp; deep learning frameworks: TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc. ), and orchestration tools.
 </li>
 <li>
 Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models).
 </li>
 <li>
 Solid understanding of model performance monitoring, drift detection, and responsible AI principles.
 
 
 </li>
 </ul>
 
 What You Bring: Passion and Potential
 
 
 
 <ul>
 <li>
 A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field &ndash; your academic foundation is key.
 </li>
 <li>
 A genuine excitement for AI and large language models (LLMs) is a significant advantage &ndash; you'll be working at the cutting edge!
 </li>
 <li>
 Design, develop, and deploy agentic systems integrated into the data platform.
 </li>
 <li>
 3+ years of experience in software architecture, backend systems, or AI infrastructure.
 </li>
 <li>
 Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.
 </li>
 <li>
 Passion for building safe, human-aligned autonomous systems.
 </li>
 <li>
 Experience in software development (Python, Go, or Java preferred).
 </li>
 <li>
 Familiarity with backend service development, APIs, and distributed systems.
 </li>
 <li>
 Interest or experience in LLMs, autonomous agents, or AI tooling.
 </li>
 <li>
 Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.
 </li>
 <li>
 Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models).
 </li>
 <li>
 Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.
 </li>
 <li>
 Integrate observability tooling (e. g. , OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.
 </li>
 <li>
 Bonus: Research experience or contributions to open-source agentic frameworks.
 </li>
 <li>
 You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Software Engineer

Microsoft

<div>
 
 Be the voice behind the future&mdash;join us to build transformative speech technology for multilingual, intelligent experiences that reach billions.
 
 
 
 Microsoft is pioneering next-generation AI-driven speech solutions for voice agents, video translation, and call centre analytics.
 
 
 As a
 
 Senior Software Engineer
 
 in Microsoft&rsquo;s
 
 Azure Speech team
 
 , you will develop advanced customization infrastructure and data processing tools to finetune multilingual speech models, AOAI models, and multimodal generative AI powering real-time transcription, intelligent voice agents, and multilingual dubbing across Microsoft products and enterprise solutions. Your work will impact millions&mdash;enabling next-generation human&ndash;machine experiences for diverse markets, with a special focus on India.
 
 
 In this strategic role, you will have significant ownership on technical direction and drive innovation in scaling data processing, engineering efficiency and ease of AOAI customisation, and generative AI. You&rsquo;ll collaborate with top engineers and scientist and deliver breakthrough technologies for applications in voice agents, video translation, and call centre analytics.
 
 
 Based in
 
 Hyderabad
 
 , this on-site role offers opportunities to mentor, grow, and shape the future of multimodal interaction for Indian and global audiences.
 
 
 Microsoft&rsquo;s mission is to empower every person and organisation to achieve more. We embrace a growth mindset and encourage teams and leaders to bring their best.
 
 Join us to shape the future of speech and multimodal LLM technology.
 
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Deliver world-class and transformative engineering platforms for customizing Microsoft 1st party and 3rd party products and services.
 </li>
 <li>
 Set technical directions in model customization platforms and scalable data processing solutions for multilingual speech model, speech LLMs, and AOAI models.
 </li>
 <li>
 Build novel data solutions to synthesize complex speech scenarios and finetune models.
 </li>
 <li>
 Build data analysis metrics and solutions to understand the model results, identify gaps, and guide solutions.
 </li>
 <li>
 Collaborate with the global Microsoft team, drive innovative solutions for significant customer asks, and deliver sustained large impacts.
 </li>
 <li>
 Mentor and influence peers, sharing expertise and fostering a growth-oriented inclusive team culture.
 </li>
 <li>
 Contribute to patents and publications at top-tier conferences and represent the team&rsquo;s technical leadership within and outside Microsoft.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 BS/MS/PhD Degree in CS/EE or related fields with focus in machine learning, AI, or speech technologies.
 </li>
 <li>
 8+ years&rsquo; experience in software development skills with deep expertise in designing, building, and deploying large-scale, production-grade AI systems.
 </li>
 <li>
 Demonstration of excellent problem-solving skills and proven track record of delivering impactful results and high-quality solutions in complex engineering environments.
 </li>
 <li>
 Strong programming skills in Python, C++ or similar languages, with experience in large-scale data processing and distributed computing.
 </li>
 <li>
 Effective communication skills, both verbal and written.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with speech/audio processing, multilingual model development, or voice agent technologies.
 </li>
 <li>
 Familiarity with Azure, cloud-based AI platforms, or enterprise-scale deployment of speech solutions.
 </li>
 <li>
 Contributions to open-source projects, patents, or publications in top-tier conferences/journals.
 </li>
 <li>
 Demonstrated leadership in driving technical direction, influencing cross-functional teams, and mentoring peers.
 
 
 </li>
 </ul>
 
 Inclusivity &amp; Compliance
 
 
 
 <ul>
 <li>
 Commitment to fostering an inclusive, growth-oriented team culture.
 </li>
 <li>
 Adherence to Microsoft&rsquo;s EEO and diversity guidelines.
 
 
 </li>
 </ul>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Software Engineer

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI and DATA -Gen AI - Senior

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
 <li>
 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
 </li>
 <li>
 Minimum 3year of SQL experience
 </li>
 <li>
 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
 </li>
 <li>
 BE/BS in Computer Science, Math, Physics, or other technical fields.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Model deployment experience will be a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is required
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 </ul>
</div>

Data Scientist

<div>
 
 Have a personalized AI assistant you can talk to. Enable AI agents using MCP. Build for billions of users.
 
 
 
 If any of these excite you&mdash;how about all of them?
 
 
 This is what the Microsoft 365 Copilot Windows App team does every day. We are on a mission to redefine how people interact with their devices by building intelligent, multimodal, and deeply integrated AI experiences into Windows. We are looking for passionate engineers who are driven to change the course of technology and bring AI to billions.
 
 
 As part of the Microsoft 365 Copilot India team, you will help shape the future of productivity by building the flagship Microsoft 365 Copilot App on Windows. Your work will directly impact how users engage with voice, vision, and context-aware AI agents--powered by MCP. With a rapidly growing footprint, this is your opportunity to build at scale with purpose.
 
 
 
 Responsibilities
 
 
 
 
 What You Will Do:
 
 
 
 <ul>
 <li>
 Design and implement intelligent features that leverage voice, camera, and screen context to assist users in real time.
 </li>
 <li>
 Build and optimize agentic workflows using MCP to enable autonomous task execution across apps and services.
 </li>
 <li>
 Own the end-to-end planning, design, implementation, adoption, and monitoring of critical AI capabilities.
 </li>
 <li>
 Collaborate with cross-functional teams across Windows, Office, and Azure to deliver seamless, high-performance experiences.
 </li>
 <li>
 Drive engineering excellence through test automation, robust design, and continuous feedback.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 BS degree in Computer Science, Engineering, or equivalent.
 </li>
 <li>
 8+ years of software development experience with C, C++, and Windows app development.
 </li>
 <li>
 Strong problem-solving skills and ability to design efficient algorithms and data structures.
 </li>
 <li>
 Ability to independently handle design and implementation of features of moderate to high complexity.
 </li>
 <li>
 Experience with agile development practices and large-scale commercial product cycles.
 </li>
 <li>
 Exposure to multimodal input (voice, vision) or AI-powered UX is a plus.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Be part of a team that&rsquo;s building the future of AI-first computing.
 </li>
 <li>
 Work on cutting-edge features like real-time voice and vision, agentic OS concepts, and Copilot extensibility.
 </li>
 <li>
 Help shape the future of productivity for a global user base of over a billion Windows devices.
 </li>
 <li>
 Collaborate with some of the best minds across Microsoft&rsquo;s global engineering teams.
 
 
 </li>
 </ul>
 Join us and be a part of the AI revolution&mdash;right from your desktop
 
 
 #MicrosoftAI
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer II – Microsoft 365 Copilot

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 Our Engineering Automation team is mandated to transform how engineering works. Your team is responsible for creating AI based automations for engineering workflows such as triaging a problem, bisecting changes, bug fixing and incident response.
 
 
 QA engineers are in your extended team and will collaborate you on AI based end to end verifications. CX is another sister org that you will augment their internal workflows using agentic AI.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 Build by and for AI: Building tools for Notion engineers to triage problems faster, supporting agentic AI workflows and end to end testing platform using AI capabilities. You'll create a healthy environment in your team that embodies Notion's values.
 </li>
 <li>
 Improve agentic AI abilities: Unlock AI agents to refactor code, fix bugs, write tests, triage issues.
 </li>
 <li>
 Partner in DevEx: Partner with Developer Experience team to enhance Notion&rsquo;s CI and CD pipelines. Enhance Developer Experience.
 </li>
 <li>
 Collaborate across teams: Work closely with product engineering teams to understand their automation needs and improve developer experience.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 8+ years of experience leading and contributing to scalable projects within high-growth, fast-paced organizations
 </li>
 <li>
 Strong systems mindset: Stitch in-house and third parties to be able to solve complex problems. Being able to utilize LLMs along with MCPs to address agentic use cases.
 </li>
 <li>
 Multitasker and present: you like interrupts especially if this is blocking engineers.You switch between your project work and day to day observability and deploy challenges.
 </li>
 <li>
 Interest in learning how things work: you love to learn how the tools you use work at a fundamental level. You get excited at the idea of digging into third-party source code to understand how they work and find new ways to use them.
 </li>
 <li>
 Pragmatic and business-oriented: You care about business impact and prioritize projects accordingly. You don't just go after cool stuff&mdash;you understand the balance between craft, speed, and the bottom line. To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 Having worked with LLMs and build real world applications.
 </li>
 <li>
 Familiarity with TypeScript, especially in ways to keep it running smoothly in a large codebase.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
</div>

Versatile Commerce

<div>
 📍Company: Versatile Commerce
 
 
 📍 Position: Data Scientists
 
 
 📍 Experience: 3-9 yrs
 
 
 📍 Location: Hyderabad (WFO)
 
 
 📅 Notice Period: 0- 15 Days
 
 
 Skills:- Retrieval Augmented Generation (RAG), Machine Learning (ML), Generative AI, Open-source LLMs, Python, NumPy and pandas
</div>

Data Scientists

Explore 86+ Ai engineer in Hyderabad this November. Find roles across top companies and apply now to boost your career.

86 ai engineer jobs IN Hyderabad

Software Engineer

Senior Software Engineer

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Data Scientist

Software Engineer II – Microsoft 365 Copilot

Software Engineer

Data Scientists