38 Sphinx Jobs

As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description Key Responsibilities / Duties Serves as SME, thought leader, and technical strategy driver for the business capability/product Interfaces with the business, determines their needs, and ensures that the products and services developed are in line with business priorities Assesses the impact of technical solutions on the overall enterprise architecture and the future roadmap Manages the key activities involving technical solution delivery and operations specific to the business capability/product Monitors engineering throughput and recommends practices for reducing cycle time and increasing throughput Keeps abreast of developments in the market for their technical competency or solution that supports their capability/product Monitors technical standards and performance criteria, advising on governance issues and escalating as necessary Focusses on reducing technical debt and increasing the resiliency of the technical platform Experiments with new technologies and acquire new skills to find creative solutions to the unique challenges we will encounter along the way Work Experience / Knowledge: Minimum 10 years of proven experience developing data analytics and visualization software and workflows Experience managing large cross-functional teams Advanced experience with Python and libraries like numpy, pandas, scipy, and matplotlib Advanced database programming experience with both SQL (e.g. Oracle, SQL Server, PostgreSQL, MySQL) and noSQL (e.g. MongoDB, Parquet) data stores. Intermediate experience with data visualization tools (e.g. Plotly, PowerBI, Tableau, Plotly Dash, or RShiny) Basic to intermediate experience with HTML, CSS, React.js, and other front-end technologies. Intermediate to advanced experience with Microsoft Excel Basic to intermediate experience with Linux server administration, containerized environments (Docker or LXC), git, continuous integration (e.g. Jenkins, Travis-CI, or CircleCI), documentation (e.g. Sphinx), IT security, distributed computing, and parallel computation. Basic to Intermediate understanding of Equity, Fixed Income, and Derivative instruments Skills / Other Personal Attributes Required: Comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs Strong analytical and critical thinking skills Self-motivated. Capable of working with little or no supervision Strong written and verbal communication skills Enjoy challenging and thought-provoking work and have a strong desire to learn and progress Ability to manage multiple tasks and requests Must demonstrate a positive, team-focused attitude Ability to react positively under pressure to meet tight deadlines Good inter-personal skills combined with willingness to listen Structured, disciplined approach to work, with attention to detail Flexible – able to meet changing requirements and priorities Maintenance of up-to-date knowledge in the appropriate technical areas Able to work in a global, multicultural environment Formal Education: (minimum requirement to perform job duties) Masters in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers : https://careers.invesco.com/india/

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description As a Staff Machine Learning Engineer , you will drive AI programs, lead engagements, and independently develop innovative solutions that enhance decision-making, automate workflows, and create growth. You will own the end-to-end development of AI-powered applications, from solution design to deployment, leveraging pre-trained machine learning and generative AI models. You will work closely with cross-functional teams, proactively identifying opportunities to integrate AI capabilities into Experian's products and services while optimizing performance and scalability. Qualifications Experinece working in cloud environment with one of Databricks, Azure or AWS 8+ years experience building data-drive products and solutions Experience leading AI engagements Strong experience with AI APIs (OpenAI, Hugging Face, Google Vertex AI, AWS Bedrock) and fine-tuning models for production use. Deep understanding of machine learning, natural language processing (NLP), and generative AI evaluation techniques.Key Responsibilities Assist in Developing and Deploying Machine Learning Models: Support the development and deployment of machine learning models, including data preprocessing and performance evaluation in Python using sklearn, numpy and other standard libraries. Build and Maintain ML Pipelines: Help build and maintain scalable ML pipelines, and assist in automating model training workflows in Python using MLFlow, Databricks, Sagemaker or equivalent. Collaborate with Cross-Functional Teams: Work with product and data teams to align ML solutions with business needs and objectives. Write Clean and Documented Code: Write clean, well-documented code, following best practices for testing and version control. Use Sphinx and other auto documentation solutions to automate document generation. Support Model Monitoring and Debugging: Assist in monitoring and debugging models to improve their reliability and performance. Participate in Technical Discussions and Knowledge Sharing: Engage in technical discussions, code reviews, and knowledge-sharing sessions to learn and grow within the team. Day-to-Day ActivitiesOn a daily basis, you will work closely with senior ML engineers and data scientists to support various stages of the machine learning lifecycle. Your day-to-day activities will include: Data Preprocessing: Cleaning and preparing data for model training, ensuring data quality and consistency. Model Training: Assisting in the training of machine learning models, experimenting with different algorithms and hyperparameters. Performance Evaluation: Evaluating model performance using appropriate metrics and techniques, and identifying areas for improvement. Pipeline Maintenance: Building and maintaining ML pipelines, ensuring they are scalable and efficient. Code Development: Writing and maintaining clean, well-documented code, following best practices for testing and version control. Model Monitoring: Monitoring deployed models to ensure they are performing as expected, and assisting in debugging any issues that arise. Collaboration: Participating in team meetings, sprint planning, and daily stand-ups to stay aligned with project goals and timelines. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

As a Technical Writer, you will be responsible for creating and maintaining technical documentation to support various teams within the organization. Your core technical skillsets will include expertise in technical writing and documentation strategy, with a focus on API documentation for REST and SDKs in languages such as Python, JavaScript, and Java. You should also possess programming abilities to read and write in Python and JavaScript, with Java being desirable. Your role will involve creating code samples and multi-language walkthroughs to assist developers in understanding and implementing various features. Additionally, you should have knowledge of front-end and back-end integration, as well as experience with documentation-as-code tooling such as MarkDown, Sphinx, MkDocs, and Docusaurus. Familiarity with version control systems like Git and CI/CD workflows for automated documentation builds will be essential. You will be responsible for tracking usage and feedback metrics, auditing for accuracy, and reviewing documentation pull requests to ensure the quality of the content. In terms of process and collaboration skills, you should be well-versed in Agile methodologies, including participation in sprint planning and stand-up meetings. Effective cross-functional communication with engineers, developer relations teams, and no-code users is crucial. You should have a strong sense of user empathy and advocacy, catering to both technical and non-technical audiences. Establishing style guides and standards, and enforcing consistency in documentation will be part of your responsibilities. Experience with low-code or no-code platforms will be considered a bonus, along with engagement in open-source communities and best-practice research. Your role will involve collaborating with various teams and stakeholders to deliver high-quality technical documentation that meets the needs of the target audience. Overall, as a Technical Writer, your role will be pivotal in ensuring clear and comprehensive documentation that supports the development and usage of various products and services within the organization.,

Core Technical Skillsets Technical writing & documentation strategy API documentation for REST and SDKs (Python, JavaScript, Java). Programming: ability to read/write Python and JavaScript (Java desirable). Code-sample creation and multi-language walkthroughs. Front-end / back-end integration knowledge Documentation-as-code tooling: MarkDown, Sphinx, MkDocs, Docusaurus. Version control & CI/CD: Git-based workflows, automated doc builds. Metrics & QA: track usage/feedback, audit for accuracy, review doc pulls requests. Process & Collaboration Skills Agile participation (sprint planning, stand-ups). Cross-functional communication with engineers, developer relations, and no-code users. User empathy & advocacy for both technical and non-technical audiences. Establishing style guides & standards; enforcing consistency. Bonus / Nice-to-Have Experience with low-code / no-code platforms. Engagement in open-source communities and best-practice research (ref:hirist.tech)

Job Description Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed.

Role Description : As a Senior Principle Engineer - Tech Publications at Incedo, you will be responsible for creating technical documentation for internal and external stakeholders. You should have excellent writing skills and be able to communicate complex technical concepts to both technical and non-technical audiences. Roles & Responsibilities: Documentation Leadership: Oversee the end-to-end documentation lifecycle, including planning, developing, writing, editing, and publishing complex technical content related to Network Security and Multi-Cloud Services, 5G, DDoS, Application Security, and Load Balancing. Technical Content Development: Create clear, coherent, and technically accurate documentation, diagrams, forms, and presentations that cater to various stakeholders, including technical teams, end-users, and business partners. DITA Implementation: Lead the adoption and implementation of DITA to create modular, reusable content that enhances efficiency and consistency across documentation. Ensure that content is organized logically and can be easily repurposed for various audiences and delivery formats. Stakeholder Collaboration: Act as a bridge between technical teams (Engineering, QA, SEs, PMs) and business stakeholders to ensure accurate and impactful documentation. Innovation and Standards: Implement and maintain documentation standards and processes that enhance content quality and usability, leveraging DITA and other cutting-edge technical writing tools and methodologies. Technical Skills : Proficiency in modern technical writing tools and platforms, including MadCap Flare, Adobe FrameMaker, Microsoft Office, Visio, SnagIt, Sphinx, and RoboHelp. Strong experience in DITA authoring and publishing processes, including topic-based authoring and the use of DITA XML for content management. Familiarity with version control and repository systems such as SVN, Perforce, Git, Jira, ClearCase, and SharePoint. Experience in creating content for both software (SW) and hardware (HW) products, including User, Programmer, and Admin Guides, as well as API documentation. Strong understanding of Network Security, Multi-Cloud Services, 5G, DDoS protection, Application Security, and Load Balancing. Nice-to-have skills Experience with Content Management Systems (CMS) and Single-Source Publishing. Background in conducting usability tests and contributing to User Interface Design. Qualifications Educational Background: A masters degree in arts/science or a bachelors degree in engineering. Experience: 15+ years of relevant technical writing experience, with at least 5 years in a managerial role overseeing documentation teams in the Network Security domain. Communication Skills: Exceptional written and verbal communication skills with the ability to articulate complex technical concepts to diverse audiences. Self-Starter: Ability to work independently and present product information intelligently and persuasively to gain the attention of customers and stakeholders.

Job Description Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Data Engineering: Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF) Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs) Experience in Elastic Search and Apache Solr is a plus, vector databases. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed.

We are seeking to hire brilliant RoR programmers for a lineup of high scale Blockchain implementations. This is a valuable opportunity for those who are bored of monotonous projects and want to engage into a completely new ecosystem. We believe in self-motivating virtues and that reflects in all our existing employees. Therefore, the zest for continuous learning should come naturally to you. At Antier, you’ll collaborate and learn from experienced Blockchain engineers and explore a progressive industry of dApps. Since we don’t compromise on prerequisite expertise, we expect you to have adequate knowledge as per your years of experience in developing high-performing and secure web apps. Experience : 3-5 years As per your years of experience, you should have hands-on workability in - Identifying and resolving performance issues using various caching techniques, query optimizations etc. JavaScript, jQuery, and ability to write Object Oriented JS (Flight.Js will be plus) HTML and CSS; ability to integrate static HTML/CSS with Rails RSpec and Cucumber Designing high-performance APIs & consuming APIs Integrating full-text search engines like sphinx, Elastic Search and solr Deploying Rails app in a multi-host production environment using Capistrano on cloud servers AWS services like S3, EC2, SES, CloudFront etc Configuring and using Memcached, messaging queues, and noSQL databases like MongoDB/cassandra with web app Additionally, you should have - Good Understanding of MYSQL Experience of using Git Understanding of Agile methodologies Good hold on Ruby Metaprogramming Open Source Contribution MVC Frameworks Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Paid time off Provident Fund Experience: ROR: 3 years (Preferred) Work Location: In person

Qualcomm India Private Limited is seeking a Technical Writer with 5 to 8 years of experience in writing and editing hardware or software content for developer audiences. The ideal candidate should have a Bachelor's degree in engineering, Computer Science, Communications, English, or a related field. They should possess skills in document development, including writing, editing, formatting, design, and proofreading, as well as knowledge of DITA, XML, or markup languages such as HTML. Proficiency in graphics packages like Adobe Illustrator and Microsoft Visio, along with familiarity with the Microsoft suite of applications, is required. The candidate should demonstrate excellent attention to detail and the ability to thrive in a fast-paced, dynamic environment. Experience in integrating AI into work processes is a plus. Desirable qualifications include experience with Developer Documentation, knowledge of Content Management Systems like Perforce/GitHub, proficiency in tools such as JIRA and Confluence, Sphinx and RST, Markdown, and the ability to understand chipset layout/circuit design, connected systems, CPU architectures, and digital interfaces. Experience in video creation and editing would be beneficial. Qualcomm is an equal opportunity employer and is committed to providing accommodations for individuals with disabilities during the application/hiring process. If needed, applicants can request reasonable accommodations by contacting disability-accommodations@qualcomm.com or Qualcomm's toll-free number. The company expects its employees to adhere to all applicable policies and procedures, including those related to security and the protection of confidential information. Please note that Qualcomm's Careers Site is intended for individuals seeking employment directly with Qualcomm. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes on behalf of individuals. Unsolicited submissions from agencies will not be accepted. For more information about this role, interested individuals can reach out to Qualcomm Careers.,

DevOps Content Writer, Assurant-GCC, India The DevOps Content Engineer role exists to bridge the gap between ICS and all of the documentation the department needs to create and have access to in order to operate effectively in the performance of their roles. The person in this role will partner with DevOps engineers, SRE, and platform engineering teams to design and maintain clear, structured, and scalable documentation that supports the entire ICS engineering organizations’ products and platforms in use at Assurant. The DevOps content engineer works with other engineers across a variety of disciplines to ensure all of our documentation is in a consistent framework and easily consumable. The person in this role also makes sure that the ICS engineers are both aware of the large bohave access to the documentation they need from across ICS to effectively perform in their role. The DevOps content Engineer is responsible for building documentation systems, automating content generation where possible, and ensuring engineers can find, understand, and act on the information they need. This position will be in Bangalore/Hyderabad at our India location. What will be my duties and responsibilities in this job? Content Architecture: Develop and maintain content standards and document formats for our cloud architecture, including platforms such as AWS, Azure, and OCI. Ensure that all documentation guidelines are clear, concise, and accessible to relevant stakeholders. Compliance and Security Protocols Documentation: Understand and provide content standards and formats that demonstrate how our solutions adhere to security protocols and access controls. Offer clear, detailed guidelines to support compliance efforts. Technical Administration: Assist team members in resolving issues, which may involve technical troubleshooting or providing guidance on procedural matters such as form-filling. Follow up diligently to ensure that all concerns are addressed in a timely and accurate manner. Documentation Management: Build and maintain technical documentation for infrastructure, automation, and deployment processes. Ensure documentation is tightly integrated with DevOps tools and workflows. Knowledge Sharing: Champion knowledge sharing and documentation automation in CI/CD pipelines. Collaboration: Work closely with SREs, DevOps engineers, and platform teams to document complex systems in a scalable, accessible way. Define and evangelize content standards, templates, and best practices for internal teams What are the requirements needed for this position? Education A bachelor’s degree in computer engineering, computer science, information technology, or another equivalent applicable STEM field. Professional Experience Technical Proficiency : A solid understanding of DevOps principles, CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP). Additional solid understanding of application developer productivity tooling (GitHub, ADO), observability tooling (Datadog, Dynatrace, Graylog), infrastructure-as-code platforms (Terraform, Ansible), and application runtime, hosting, and integration technologies (MuleSoft CloudHub, Informatica). Writing and Communication : Exceptional ability to convey technical information clearly and concisely, tailoring content to various audiences. Tool Familiarity : Experience with documentation tools and platforms such as Confluence Markdown, Sphinx, or MkDocs, and version control systems like Git. Technology Skills Technical Knowledge: Demonstrated experience with cloud architecture components, specifically AWS, Azure, and OCI. Security Protocols Familiarity: Solid understanding of security protocols and access controls, and the ability to articulate how solutions meet these standards. Content Architecture Skills: Proven ability to develop and maintain high-quality content standards and document formats. Automating parts of documentation via scripts or tools (e.g., generating docs from code) Administrative Abilities: Strong organizational skills with the ability to follow up on issues and ensure they are resolved efficiently. Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly. ServiceNow Flow and Workflow developer experience. What are the preferred requirements for this position? Education A master’s degree in computer engineering, computer science, information technology, or another equivalent applicable STEM field. Professional Experience 3+ Prior experience participating in a software COE Technology Skills Experience: Previous experience in a similar role, combining content architecture and administration duties. Familiarity with SOC, and SOX controls Any posted application deadline that is blank on a United States role is a pipeline requisition, and we'll continue to collect applications on an ongoing basis. Any posted pay range considers a wide range of compensation factors, including candidate background, experience, and work location, while also allowing for salary growth within the position. Helping People Thrive in a Connected World Connect with us. Bring us your best work and your brightest ideas. And we’ll bring you a place where you can thrive. Learn more at jobs.assurant.com. For U.S. benefit information, visit myassurantbenefits.com. For benefit information outside the U.S., please speak with your recruiter. What’s the culture like at Assurant? Our unique culture is a big reason why talented people choose Assurant. Named a Best/Great Place to Work in 13 countries and awarded the Fortune America’s Most Innovative Companies recognition in 2023, we bring together top talent around the world. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We call our culture The Assurant Way. Company Overview Assurant is a leading global business services company that supports, protects, and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products, and other specialty products. Equal Opportunity Statement Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local law in employment decisions. Job Scam Alert Please be aware that during Assurant's application process, we will never ask for personal information such as your Social Security number, bank account details, or passwords. Learn more about what to look out for and how to report a scam here.

About HYI.AI HYI.AI is a Virtual Assistance and GenAI platform built for startups, entrepreneurs, and tech innovators. We specialize in offering virtual talent solutions, GenAI tools, and custom AI/ML deployments to help founders and businesses scale smarter and faster. We’re on a mission to power the next wave of digital startups globally. Role Overview We’re seeking a Technical Writer who can transform complex technical concepts into clear, concise, and engaging documentation. You’ll collaborate with engineers, product managers, and startup teams to produce user manuals, API documentation, onboarding guides, and knowledge base content for innovative products and platforms. Location: Remote-first — with available roles in New York, San Francisco, Poland, England (Wales), and the Middle East . Key Responsibilities Create and maintain high-quality documentation including product manuals, API guides, how-tos, and technical blogs Work closely with developers and product teams to understand technical requirements and user flows Translate complex concepts into simple, user-friendly content for both technical and non-technical audiences Establish and follow consistent documentation style guides and standards Update existing content in response to new product releases, features, or customer feedback Assist in the creation of onboarding materials and internal knowledge bases What We’re Looking For Proven experience as a Technical Writer , preferably in software, SaaS, or startup environments Exceptional written communication skills with attention to detail Strong understanding of software development concepts, APIs, DevOps, or AI/ML terminology Familiarity with documentation tools such as Markdown , Docs-as-Code (e.g., GitBook, Sphinx, Docusaurus) , or Confluence Ability to work independently, manage multiple tasks, and collaborate in remote teams Preferred Skills Experience working with Agile development teams Knowledge of HTML/CSS , version control (Git) , or Swagger/OpenAPI documentation Exposure to AI tools for summarization, technical translation, or document automation Understanding of SEO for documentation and content discoverability Prior experience writing for developer audiences , end-users , or B2B platforms What You’ll Gain Collaborate with forward-thinking product and engineering teams Work remotely with flexible hours tailored to your availability Curated, high-impact projects – no content mills or freelance bidding Help shape documentation standards for innovative AI and tech platforms Join a global network of engineers, designers, and product creators

Job Description Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push, raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications Bachelor’s or Master’s Degree in Computer Science, Engineering, Have undergone any modern NLP/LLM courses or participation in open competitions are added advantage.

DevOps Content Engineer, Assurant-GCC, India The DevOps Content Engineer role exists to bridge the gap between ICS and all of the documentation the department needs to create and have access to in order to operate effectively in the performance of their roles. The person in this role will partner with DevOps engineers, SRE, and platform engineering teams to design and maintain clear, structured, and scalable documentation that supports the entire ICS engineering organizations’ products and platforms in use at Assurant. The DevOps content engineer works with other engineers across a variety of disciplines to ensure all of our documentation is in a consistent framework and easily consumable. The person in this role also makes sure that the ICS engineers are both aware of the large bohave access to the documentation they need from across ICS to effectively perform in their role. The DevOps content Engineer is responsible for building documentation systems, automating content generation where possible, and ensuring engineers can find, understand, and act on the information they need. This position will be in Hyderabad at our India location. What will be my duties and responsibilities in this job? Content Architecture: Develop and maintain content standards and document formats for our cloud architecture, including platforms such as AWS, Azure, and OCI. Ensure that all documentation guidelines are clear, concise, and accessible to relevant stakeholders. Compliance and Security Protocols Documentation: Understand and provide content standards and formats that demonstrate how our solutions adhere to security protocols and access controls. Offer clear, detailed guidelines to support compliance efforts. Technical Administration: Assist team members in resolving issues, which may involve technical troubleshooting or providing guidance on procedural matters such as form-filling. Follow up diligently to ensure that all concerns are addressed in a timely and accurate manner. Documentation Management: Build and maintain technical documentation for infrastructure, automation, and deployment processes. Ensure documentation is tightly integrated with DevOps tools and workflows. Knowledge Sharing: Champion knowledge sharing and documentation automation in CI/CD pipelines. Collaboration: Work closely with SREs, DevOps engineers, and platform teams to document complex systems in a scalable, accessible way. Define and evangelize content standards, templates, and best practices for internal teams What are the requirements needed for this position? Education A bachelor’s degree in computer engineering, computer science, information technology, or another equivalent applicable STEM field. Professional Experience Technical Proficiency: A solid understanding of DevOps principles, CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP). Additional solid understanding of application developer productivity tooling (GitHub, ADO), observability tooling (Datadog, Dynatrace, Graylog), infrastructure-as-code platforms (Terraform, Ansible), and application runtime, hosting, and integration technologies (MuleSoft CloudHub, Informatica). Writing and Communication: Exceptional ability to convey technical information clearly and concisely, tailoring content to various audiences. Tool Familiarity: Experience with documentation tools and platforms such as Confluence Markdown, Sphinx, or MkDocs, and version control systems like Git. Technology Skills Technical Knowledge: Demonstrated experience with cloud architecture components, specifically AWS, Azure, and OCI. Security Protocols Familiarity: Solid understanding of security protocols and access controls, and the ability to articulate how solutions meet these standards. Content Architecture Skills: Proven ability to develop and maintain high-quality content standards and document formats. Automating parts of documentation via scripts or tools (e.g., generating docs from code) Administrative Abilities: Strong organizational skills with the ability to follow up on issues and ensure they are resolved efficiently. Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly. ServiceNow Flow and Workflow developer experience. What are the preferred requirements for this position? Education A master’s degree in computer engineering, computer science, information technology, or another equivalent applicable STEM field. Professional Experience 3+ Prior experience participating in a software COE Technology Skills Experience: Previous experience in a similar role, combining content architecture and administration duties. Familiarity with SOC, and SOX controls

Job Area: Engineering Services Group, Engineering Services Group > Technical Communications - Writing General Summary: Minimum qualifications: Bachelor’s degree in engineering, Computer Science, Communications, English, or related field 5 to 8 years of experience writing and editing hardware or software content for developer audiences Experience in document development, with demonstrated writing, editing, formatting, design, and proofreading skills Knowledge of DITA, XML, or markup languages (e.g. HTML), Web content development and document delivery Familiarity with graphics packages -- Adobe Illustrator and Microsoft Visio Skilled in Microsoft suite of applications Excellent attention to detail, with the ability to work in a fast-paced, dynamic environment Experience in integrating AI into work processes including using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the writing function. Desirable: Experience with Developer Documentation Knowledge of Content Management Systems - Working knowledge of Perforce/GitHub Web content development and document delivery, JIRA and Confluence, Sphinx and RST, Markdown Ability to understand chipset layout/circuit design, connected systems, CPU architectures, digital interfaces Video creation and editing Minimum Qualifications: Bachelor's degree in Engineering, Computer Science, Communications, English, or related field and 4+ years of experience writing and editing software and/or hardware documentation and content, or related work experience. OR Associate's degree and 6+ years of writing and editing software and/or hardware documentation and content, or related work experience. OR High School diploma or equivalent and 8+ years of writing and editing software and/or hardware documentation and content, or related work experience.

As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description Key Responsibilities / Duties Serves as SME, thought leader, and technical strategy driver for the business capability/product Interfaces with the business, determines their needs, and ensures that the products and services developed are in line with business priorities Assesses the impact of technical solutions on the overall enterprise architecture and the future roadmap Manages the key activities involving technical solution delivery and operations specific to the business capability/product Monitors engineering throughput and recommends practices for reducing cycle time and increasing throughput Keeps abreast of developments in the market for their technical competency or solution that supports their capability/product Monitors technical standards and performance criteria, advising on governance issues and escalating as necessary Focusses on reducing technical debt and increasing the resiliency of the technical platform Experiments with new technologies and acquire new skills to find creative solutions to the unique challenges we will encounter along the way Work Experience / Knowledge: Minimum 10 years of proven experience developing data analytics and visualization software and workflows Experience managing large cross-functional teams Advanced experience with Python and libraries like numpy, pandas, scipy, and matplotlib Advanced database programming experience with both SQL (e.g. Oracle, SQL Server, PostgreSQL, MySQL) and noSQL (e.g. MongoDB, Parquet) data stores. Intermediate experience with data visualization tools (e.g. Plotly, PowerBI, Tableau, Plotly Dash, or RShiny) Basic to intermediate experience with HTML, CSS, React.js, and other front-end technologies. Intermediate to advanced experience with Microsoft Excel Basic to intermediate experience with Linux server administration, containerized environments (Docker or LXC), git, continuous integration (e.g. Jenkins, Travis-CI, or CircleCI), documentation (e.g. Sphinx), IT security, distributed computing, and parallel computation. Basic to Intermediate understanding of Equity, Fixed Income, and Derivative instruments Skills / Other Personal Attributes Required: Comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs Strong analytical and critical thinking skills Self-motivated. Capable of working with little or no supervision Strong written and verbal communication skills Enjoy challenging and thought-provoking work and have a strong desire to learn and progress Ability to manage multiple tasks and requests Must demonstrate a positive, team-focused attitude Ability to react positively under pressure to meet tight deadlines Good inter-personal skills combined with willingness to listen Structured, disciplined approach to work, with attention to detail Flexible – able to meet changing requirements and priorities Maintenance of up-to-date knowledge in the appropriate technical areas Able to work in a global, multicultural environment Formal Education: (minimum requirement to perform job duties) Masters in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To know more about us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers: https://careers.invesco.com/india/

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are a meticulous and innovative Technical Writer with a passion for technology and a knack for making complex concepts accessible. With 2-4 years of experience in the software or hardware industry, you have a thorough understanding of technical writing processes and can translate technical jargon into clear, user-friendly documentation. You are adept at working autonomously and flexibly with global teams, and you excel in communicating with non-native English speakers. Your ability to prioritize tasks and foster teamwork is second to none, and you thrive in dynamic environments where you can take ownership of projects and drive them to completion. Your experience with semiconductor microprocessor industries or software tools for microprocessors (compilers/debuggers/SDKs) makes you an ideal fit for our team. Additionally, you bring working knowledge of DITA, Adobe FrameMaker, ReStructured Text (ReST)/Markdown, Sphinx/LaTeX infrastructure, JSON/HTML, and GitLab/GitHub, with a preference for those who understand Python code and have experience with defect tracking systems like Jira. What You’ll Be Doing: Gathering information using prototype software, technical specifications, feature demos, and by working with developers and applications engineers. Planning, writing, updating, and delivering user documentation products including release notes, user guides, reference manuals, application notes, and tutorials. Interacting with product teams and other technical writers to ensure comprehensive and accurate documentation. Evaluating the information needs of users and developing creative solutions to address these needs. Adapting materials written by non-native English speakers to ensure clarity and readability. Taking ownership of documentation projects and driving them to completion with minimal supervision. The Impact You Will Have: Enhancing the usability and adoption of Synopsys' ARC® portfolio by providing clear and comprehensive documentation. Supporting over 275 customers worldwide who ship more than 2.5 billion ARC-based chips annually. Contributing to the development of high-performance silicon chips and software content. Facilitating the integration of more capabilities into an SoC, meeting unique performance, power, and size requirements of target applications. Reducing the time-to-market and risk for differentiated products. Enabling engineers and scientists to effectively use and understand our tools and technologies. What You’ll Need: 2-4 years of technical writing experience in the software or hardware industry. Ability to understand and write complex technical concepts for a technical audience. Thorough understanding of technical writing processes. Experience in developer documentation and DevOps. Working knowledge of DITA, Adobe FrameMaker, ReStructured Text (ReST)/Markdown, Sphinx/LaTeX infrastructure, and GitLab/GitHub. Who You Are: You are a self-motivated individual with a strong attention to detail and the ability to work both independently and collaboratively. You possess excellent communication skills and can effectively interact with global teams and non-native English speakers. Your ability to prioritize tasks, adapt to changing requirements, and foster teamwork makes you an invaluable asset to our team. You are passionate about technology and continuously seek to enhance your skills and knowledge in the field. The Team You’ll Be A Part Of: You will join a dynamic team focused on the ARC® portfolio, which includes 32-/64-bit CPU and DSP cores, subsystems, and software development tools. Our team collaborates closely with leading industry vendors to support a broad spectrum of 3rd-party tools, operating systems, and middleware. We are dedicated to providing comprehensive and user-friendly documentation to our global customer base. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. Show more Show less

Job Title: Technical Writer Location: Hyderabad Experience: 0 - 1 year Mode: 5 days WFO We are looking for passionate and detail-oriented Technical Writers to join our growing documentation team. As a Technical writer, you will work closely with product managers, developers, and senior writers to create high-quality content that helps users understand and use our products effectively. Key Responsibilities: Assist in creating, updating, and maintaining the how-to-do's guide, online help, release notes, API documentation, and installation guides. Collaborate with cross-functional teams to understand product functionality and gather content inputs. Write content in structured formats using Markdown, ASCII Doc, or other authoring tools. Ensure documentation follows company style guides and standards. Participate in peer reviews and implement feedback. Organise documentation for web portals, internal knowledge bases, and version-controlled repositories (e.g., GitHub, Bitbucket). Requirements: Bachelor's or Master's degree in English, or related field. Ability to understand and explain technical concepts simply and clearly. Proficient in Microsoft Office Suite. Proficient in English, written and verbal. Certification in Technical writing is an added advantage. Basic knowledge of documentation tools like Google Docs, or Markdown. Willingness to learn version control systems like Git and documentation frameworks like MkDocs or Sphinx. Show more Show less

Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Education : Bachelor’s in Engineering or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale

Job Description Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale Qualifications Education : Bachelor’s in Engineering or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Show more Show less

About The Job Duration: 12 Months Location: PAN INDIA Timings: Full Time (As per company timings) Notice Period: within 15 days or immediate joiner Experience: 0- 2 years Requirements Java: Design, develop and maintain both new and existing code, ranging from client-side development (using Angular, JavaScript, HTML and CSS) to server-side (using Java and Spring Boot, and T-SQL for data persistence and retrieval) Write readable, extensible, testable code while being mindful of performance requirements Create, maintain, and run unit tests for both new and existing code to deliver defect-free and well-tested code to QA. Conduct design and code reviews and collaborate to ensure your own code passes review Leverage our Cloud infrastructure (AWS) to engineer solutions that make the best of it Adhere to best practice development standards Stay abreast of developments in web applications and programming languages Requirements Strong Core Java 6+/ Java EE hands-on skills Use of any of the following IDEs - PyCharm for Python, Eclipse or IntelliJ for Java, VSCode for HTML/CSS/Javascript. Strong knowledge of OOP principles, including design patterns Good understanding of a relational database engine such as SQL Server Experience with writing SQL queries on databases like SQL Server Strong fundamentals in algorithms and data structures Experience with modern software development life-cycle Eager to learn, work and deliver independently Speak and write fluently in English Python Should be proficient in the following Standard library and OOP in python Python dependency management through pip Sphinx documentation engine Setup tools Pandas and Numpy Flask framework Jinja templating engine Celery Any production-ready WSGI server such as Gunicorn or uWSGI Other Personal Characteristics Dynamic, engaging, self-reliant developer Ability to deal with ambiguity Manage a collaborative and analytical approach Self-confident and humble Open to continuous learning Intelligent, rigorous thinker who can operate successfully amongst bright people Be equally comfortable and capable of interacting with technologists as they are with business executives. Show more Show less

Job Area: Engineering Services Group, Engineering Services Group > Technical Communications - Writing General Summary: Minimum qualifications: Bachelors degree in engineering, Computer Science, Communications, English, or related field 5 to 8 years of experience writing and editing hardware or software content for developer audiences Experience in document development, with demonstrated writing, editing, formatting, design, and proofreading skills Knowledge of DITA, XML, or markup languages (e.g. HTML), Web content development and document delivery Familiarity with graphics packages -- Adobe Illustrator and Microsoft Visio Skilled in Microsoft suite of applications Excellent attention to detail, with the ability to work in a fast-paced, dynamic environment Experience in integrating AI into work processes including using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the writing function. Desirable: Experience with Developer Documentation Knowledge of Content Management Systems - Working knowledge of Perforce/GitHub Web content development and document delivery, JIRA and Confluence, Sphinx and RST, Markdown Ability to understand chipset layout/circuit design, connected systems, CPU architectures, digital interfaces Video creation and editing Minimum Qualifications: Bachelor's degree in Engineering, Computer Science, Communications, English, or related field and 4+ years of experience writing and editing software and/or hardware documentation and content, or related work experience. OR Associate's degree and 6+ years of writing and editing software and/or hardware documentation and content, or related work experience. OR High School diploma or equivalent and 8+ years of writing and editing software and/or hardware documentation and content, or related work experience.

Job Area: Engineering Services Group, Engineering Services Group > Technical Communications - Writing General Summary: Bachelors degree in engineering, Computer Science, Communications, English, or related field 5 to 8 years of experience writing and editing hardware or software content for developer audiences Experience in document development, with demonstrated writing, editing, formatting, design, and proofreading skills Knowledge of DITA, XML, or markup languages (e.g. HTML), Web content development and document delivery Familiarity with graphics packages -- Adobe Illustrator and Microsoft Visio Skilled in Microsoft suite of applications Excellent attention to detail, with the ability to work in a fast-paced, dynamic environment Experience in integrating AI into work processes including using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the writing function. Desirable: Experience with Developer Documentation Knowledge of Content Management Systems - Working knowledge of Perforce/GitHub Web content development and document delivery, JIRA and Confluence, Sphinx and RST, Markdown Ability to understand chipset layout/circuit design, connected systems, CPU architectures, digital interfaces Video creation and editing Minimum Qualifications: Bachelor's degree in Engineering, Computer Science, Communications, English, or related field and 4+ years of experience writing and editing software and/or hardware documentation and content, or related work experience. OR Associate's degree and 6+ years of writing and editing software and/or hardware documentation and content, or related work experience. OR High School diploma or equivalent and 8+ years of writing and editing software and/or hardware documentation and content, or related work experience.

Function: Data Science Job: Machine Learning Engineer Position: Senior Immediate manager (N+1 Job title and name): AI Manager Additional reporting line to: Global VP Engineering Position location: Mumbai, Pune, Bangalore, Hyderabad, Noida. 1. Purpose of the Job – A simple statement to identify clearly the objective of the job. The Senior Machine Learning Engineer is responsible for designing, implementing, and deploying scalable and efficient machine learning algorithms to solve complex business problems. The Machine Learning Engineer is also responsible of the lifecycle of models, once deployed in production environments, through monitoring performance and model evolution. The position is highly technical and requires an ability to collaborate with multiple technical and non-technical profiles (data scientists, data engineers, data analysts, product owners, business experts), and actively take part in a large data science community. 2. Organization chart – Indicate schematically the position of the job within the organization. It is sufficient to indicate one hierarchical level above (including possible functional boss) and, if applicable, one below the position. In the horizontal direction, the other jobs reporting to the same superior should be indicated. A Machine Learning Engineer reports to the AI Manager who reports to the Global VP Engineering. 3. Key Responsibilities and Expected Deliverables– This details what actually needs to be done; the duties and expected outcomes. Managing the lifecycle of machine learning models Develop and implement machine learning models to solve complex business problems. Ensure that models are accurate, efficient, reliable, and scalable. Deploy machine learning models to production environments, ensuring that models are integrated with software systems. Monitor machine learning models in production, ensuring that models are performing as expected and that any errors or performance issues are identified and resolved quickly. Maintain machine learning models over time. This includes updating models as new data becomes available, retraining models to improve performance, and retiring models that are no longer effective. Develop and implement policies and procedures for ensuring the ethical and responsible use of machine learning models. This includes addressing issues related to bias, fairness, transparency, and accountability. Development of data science assets Identify cross use cases data science needs that could be mutualised in a reusable piece of code. Design, contribute and participate in the implementation of python libraries answering a data science transversal need that can be reused in several projects. Maintain existing data science assets (timeseries forecasting asset, model monitoring asset) Create documentation and knowledge base on data science assets to ensure a good understanding from users. Participate to asset demos to showcase new features to users. Be an active member of the Sodexo Data Science Community Participate to the definition and maintenance of engineering standards and set of good practices around machine learning. Participate to data science team meeting and regularly share knowledge, ask questions, and learn from others. Mentor and guide junior machine learning engineers and data scientists. Participate to internal or external relevant conferences and meet ups. Continuous Improvements Stay up to date with the latest developments in the field: read research papers, attend conferences, and participate in trainings to expand their knowledge and skills. Identify and evaluate new technologies and tools that can improve the efficiency and effectiveness of machine learning projects. Propose and implement optimizations for current machine learning workflows and systems. Proactively identify areas of improvement within the pipelines. Make sure that created code is compliant with our set of engineering standards. Collaboration with other data experts (Data Engineers, Platform Engineers, and Data Analysts) Participate to pull requests reviews coming from other team members. Ask for review and comments when submitting their own work. Actively participate to the day-to-day life of the project (Agile rituals), the data science team (DS meeting) and the rest of the Global Engineering team 4. Education & Experience – Indicate the skills, knowledge and experience that the job holder should require to conduct the role effectively Engineering Master’s degree or PhD in Data Science, Statistics, Mathematics, or related fields 5 years+ experience in a Data Scientist / Machine Learning Engineer role into large corporate organizations Experience of working with ML models in a cloud ecosystem Statistics & Machine Learning Statistics : Strong understanding of statistical analysis and modelling techniques (e.g., regression analysis, hypothesis testing, time series analysis) Classical ML : Very strong knowledge in classical ML algorithms for regression & classification, supervised and unsupervised machine learning, both theoretical and practical (e.g. using scikit-learn, xgboost) ML niche: Expertise in at least one of the following ML specialisations: Timeseries forecasting / Natural Language Processing / Computer Vision Deep Learning: Good knowledge of Deep Learning fundamentals (CNN, RNN, transformer architecture, attention mechanism, …) and one of the deep learning frameworks (pytorch, tensorflow, keras) Generative AI: Good understanding of Generative AI specificities and previous experience in working with Large Language Models is a plus (e.g. with openai, langchain) MLOps Model strategy : Expertise in designing, implementing, and testing machine learning strategies. Model integration : Very strong skills in integrating a machine learning algorithm in a data science application in production. Model performance: Deep understanding of model performance evaluation metrics and existing libraries (e.g., scikit-learn, evidently) Model deployment: Experience in deploying and managing machine learning models in production either using specific cloud platform, model serving frameworks, or containerization. Model monitoring : Experience with model performance monitoring tools is a plus (Grafana, Prometheus) Software Engineering Python: Very strong coding skills in Python including modularity, OOP, data & config manipulation frameworks (e.g., pandas, pydantic) etc. Python ecosystem: Strong knowledge of tooling in Python ecosystem such as dependency management tooling (venv, poetry), documentation frameworks (e.g. sphinx, mkdocs, jupyter-book), testing frameworks (unittest, pytest) Software engineering practices: Experience in putting in place good software engineering practices such as design patterns, testing (unit, integration), clean code, code formatting etc. Debugging : Ability to troubleshoot and debug issues within machine learning pipelines Data Science Experimentation and Analytics Data Visualization : Knowledge of data visualization tools such as plotly, seaborn, matplotlib, etc. to visualise, interpret and communicate the results of machine learning models to stakeholders. Basic knowledge of PowerBI is a plus Data Cleaning : Experience with data cleaning and preprocessing techniques such as feature scaling, dimensionality reduction, and outlier detection (e.g. with pandas, scikit-learn). Data Science Experiments : Understanding of experimental design and A/B testing methodologies Data Processing: Databricks/Spark : Basic knowledge of PySpark for big data processing Databases : Basic knowledge of SQL to query data in internal systems Data Formats : Familiarity with different data storage formats such as Parquet and Delta DevOps Azure DevOps : Experience using a DevOps platform such as Azure DevOps for using Boards, Repositories, Pipelines Git: Experience working with code versioning (git), branch strategies, and collaborative work with pull requests. Proficient with the most basic git commands. CI / CD : Experience in implementing/maintaining pipelines for continuous integration (including execution of testing strategy) and continuous deployment is preferable. Cloud Platform: Azure Cloud : Previous experience with services like Azure Machine Learning Services and/or Azure Databricks on Azure is preferable. Soft skills Strong analytical and problem-solving skills, with attention to detail Excellent verbal and written communication and pedagogical skills with technical and non-technical teams Excellent teamwork and collaboration skills Adaptability and reactivity to new technologies, tools, and techniques Fluent in English 5. Competencies – Indicate which of the Sodexo core competencies and any professional competencies that the role requires Communication & Collaboration Adaptability & Agility Analytical & technical skills Innovation & Change Rigorous Problem Solving & Troubleshooting Show more Show less

Fresher – Sales ExecutiveDepartment: Sales Location: Ahmedabad, Gujarat Employment Type: Full-Time About Sherly JewelsSherly Jewels is a premium fine jewellery brand known for its timeless craftsmanship, elegant designs, and dedication to customer satisfaction. With an expanding presence through Sherly Jewels and our luxury segment Sphinx by Sherly Jewels, we are redefining the fine jewellery shopping experience in Ahmedabad and beyond. Job OverviewWe are seeking dynamic and personable Fresher Sales Executives to join our team. This role is ideal for recent graduates who are passionate about jewellery, enjoy customer interaction, and are looking to build a career in luxury retail sales. Key Responsibilities· • Welcome and assist customers at the showroom with warmth and professionalism. · • Understand customer preferences and recommend suitable jewellery pieces. · • Provide accurate information about product features, pricing, and certifications. · • Support customers during product trials and maintain a clean display area. · • Handle basic billing, packaging, and documentation. · • Maintain customer details and follow up on queries and potential leads. · • Achieve daily and monthly sales targets. · • Learn and stay updated on jewellery collections, trends, and store promotions. Requirements· • Excellent verbal communication in English, Hindi, and/or Gujarati. · • Confident, well-groomed, and customer-focused. · • Basic understanding of jewellery or willingness to learn through training. · • Ability to work during weekends, festivals, and peak seasons. · • Eager to grow within a structured and professional retail team. What We Offer· • Fixed salary with attractive performance-based incentives. · • Comprehensive training in jewellery knowledge and luxury sales techniques. · • A positive, elegant, and growth-oriented work environment. · • Long-term career advancement opportunities within the company. · • Employee discounts and recognition rewards. 📩 How To ApplySend your resume to: 📧 hritadmin@sherlyjewels.com Subject Line: “Application – Fresher Sales Executive – Sherly Jewels” You can also apply in person at our showrooms: 🏢 Sherly Jewels Venus Amadeus, Jodhpur Cross Rd, Satellite, Ahmedabad, Gujarat 380015

Job Information Number of Positions 1 Industry Engineering Date Opened 06/09/2025 Job Type Permanent Work Experience 2-3 years City Bangalore State/Province Karnataka Country India Zip/Postal Code 560037 Location Bangalore About Us CloudifyOps is a company with DevOps and Cloud in our DNA. CloudifyOps enables businesses to become more agile and innovative through a comprehensive portfolio of services that addresses hybrid IT transformation, Cloud transformation, and end-to-end DevOps Workflows. We are a proud Advance Partner of Amazon Web Services and have deep expertise in Microsoft Azure and Google Cloud Platform solutions. We are passionate about what we do. The novelty and the excitement of helping our customers accomplish their goals drives us to become excellent at what we do. Job Description Culture at CloudifyOps : Working at CloudifyOps is a rewarding experience! Great people, a work environment that thrives on creativity, and the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. About the Role: We are seeking a proactive and technically skilled AI/ML Engineer with 2–3 years of experience to join our growing technology team. The ideal candidate will have hands-on expertise in AWS-based machine learning, Agentic AI, and Generative AI tools, especially within the Amazon AI ecosystem. You will play a key role in building intelligent, scalable solutions that address complex business challenges. Key Responsibilities: 1. AWS-Based Machine Learning Develop, train, and fine-tune ML models on AWS SageMaker, Bedrock, and EC2. Implement serverless ML workflows using Lambda, Step Functions, and EventBridge. Optimize models for cost/performance using AWS Inferentia/Trainium. 2. MLOps & Productionization Build CI/CD pipelines for ML using AWS SageMaker Pipelines, MLflow, or Kubeflow. Containerize models with Docker and deploy via AWS EKS/ECS/Fargate. Monitor models in production using AWS CloudWatch, SageMaker Model Monitor. 3. Agentic AI Development Design autonomous agent systems (e.g., AutoGPT, BabyAGI) for task automation. Integrate multi-agent frameworks (LangChain, AutoGen) with AWS services. Implement RAG (Retrieval-Augmented Generation) for agent knowledge enhancement. 4. Generative AI & LLMs Fine-tune and deploy LLMs (GPT-4, Claude, Llama 2/3) using LoRA/QLoRA. Build Generative AI apps (chatbots, content generators) with LangChain, LlamaIndex. Optimize prompts and evaluate LLM performance using AWS Bedrock/Amazon Titan. 5. Collaboration & Innovation Work with cross-functional teams to translate business needs into AI solutions. Collaborate with DevOps and Cloud Engineering teams to develop scalable, production-ready AI systems. Stay updated with cutting-edge AI research (arXiv, NeurIPS, ICML). 5. Governance & Documentation Implement model governance frameworks to ensure ethical AI/ML deployments. Design reproducible ML pipelines following MLOps best practices (versioning, testing, monitoring). Maintain detailed documentation for models, APIs, and workflows (Markdown, Sphinx, ReadTheDocs). Create runbooks for model deployment, troubleshooting, and scaling. Technical Skills Programming: Python (PyTorch, TensorFlow, Hugging Face Transformers). AWS: SageMaker, Lambda, ECS/EKS, Bedrock, S3, IAM. MLOps: MLflow, Kubeflow, Docker, GitHub Actions/GitLab CI. Generative AI: Prompt engineering, LLM fine-tuning, RAG, LangChain. Agentic AI: AutoGPT, BabyAGI, multi-agent orchestration. Data Engineering: SQL, PySpark, AWS Glue/EMR. Soft Skills Strong problem-solving and analytical thinking. Ability to explain complex AI concepts to non-technical stakeholders. What We’re Looking For Bachelor’s/Master’s in CS, AI, Data Science, or related field. 2-3 years of industry experience in AI/ML engineering. Portfolio of deployed ML/AI projects (GitHub, blog, case studies). Good to have an AWS Certified Machine Learning Specialty certification. Why Join Us? Innovative Projects: Work on cutting-edge AI applications that push the boundaries of technology. Collaborative Environment: Join a team of passionate engineers and researchers committed to excellence. Career Growth: Opportunities for professional development and advancement in the rapidly evolving field of AI. Equal opportunity employer CloudifyOps is proud to be an equal opportunity employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category.