23 Sphinx Jobs

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.

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.

Hyderabad, Telangana, India Category: Engineering Hire Type: Employee Job ID 8487 Date posted 02/24/2025 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. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Experience: 5 - 8 Years Job Location: Gurgoan, Hyderabad 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. 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. 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 Education & Experience Engineering Master’s degree or PhD in Data Science, Statistics, Mathematics, or related fields 5 years+ experience in a 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

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. Show more Show less

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. 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. 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.

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. Show more Show less

Role: Quantitative Backtester Experience: 5+ Years Shift: Part-time, flexible hours. Remote: Anywhere in India About the Role: We are seeking a part-time Quantitative Backtester with experience in developing and evaluating trading strategies. You will play a pivotal role in designing, implementing, and testing trading strategies, including the creation of automated trading bots and integration with Interactive Brokers (IBKR) for execution. Responsibilities: ● Develop, backtest, and optimize quantitative trading strategies. ● Build and manage automated trading bots. ● Implement real-time trading connections with Interactive Brokers (IBKR). ● Analyze and evaluate strategy performance using key metrics such as Sharpe Ratio, Sortino Ratio… Required Skills: ● Proficiency in Python, especially with libraries such as TA-Lib, NumPy, Pandas. ● AI/ML application to determine the high confidence trades ● Train LLM and implement alert for initiating trades and exiting during back test and live trading ● Strong understanding of stocks and options. ● Atleast 5 years of experience in trading platforms and backend testing Additional Nice-to-Haves: ● Experience in low-latency trading system design and optimization. ● Clear documentation skills, familiarity with tools like Sphinx or Markdown. ● Proficiency with Git and version control workflows. Schedule: ● Part-time, flexible hours. ● Expect to get the work done per their schedule, moonlightling allowed Location: ● Remote (anywhere in India) ● Should be able to coordinate with US clients during off peak hours. Industry Information Services Employment Type Part-time Please share resume at njoshi@cloudely.com Show more Show less

About TwoSD (2SD Technologies Limited) TwoSD is the innovation engine of 2SD Technologies Limited , a global leader in product engineering, platform development, and advanced IT solutions. Backed by two decades of leadership in technology, our team brings together strategy, design, and data to craft transformative solutions for global clients. Our culture is built around cultivating talent, curiosity, and collaboration. Whether you're a career technologist, a self-taught coder, or a domain expert with a passion for real-world impact, TwoSD is where your journey accelerates. Join us and thrive. At 2SD Technologies, we push past the expected—with insight, integrity, and a passion for making things better. Role Overview We are hiring a Technical Writer to produce high-quality documentation that makes our products easy to understand and adopt by developers, end-users, and enterprise clients. This is a full-time role based in Gurugram, India , ideal for candidates who enjoy translating complex technical concepts into elegant, usable content. You’ll work closely with engineering, product, design, and DevOps teams to document APIs, architecture, product features, AI capabilities, and platform workflows. Key Responsibilities Create and maintain developer documentation , API references , integration guides , and release notes Document platform features , user journeys , and AI-enabled workflows in a structured, engaging manner Standardize and maintain internal documentation libraries (Confluence, Notion, or Markdown repos) Work with UX teams to design help content, onboarding tutorials, and in-app documentation Translate requirements from architects, engineers, and product managers into user-facing documentation Establish content strategy, style guides, and documentation standards across teams Support compliance teams by documenting security and data governance policies when needed Required Qualifications Bachelor’s degree in English, Journalism, Computer Science, or related field 3+ years of experience in technical writing for software, SaaS, or developer tools Experience creating technical documentation for REST APIs , SDKs , and integration workflows Strong command of Markdown , HTML/CSS , and basic knowledge of version control (Git) Excellent collaboration and communication skills with technical and non-technical stakeholders Preferred Qualifications Experience writing for AI/ML platforms , SaaS products , or enterprise dashboards Familiarity with OpenAPI/Swagger , Postman , or API Blueprint Knowledge of software development lifecycle (SDLC) and Agile methodologies Understanding of information architecture , accessibility, and user-focused content design Experience using tools like Docusaurus , ReadMe , Slate , or Sphinx Core Competencies Technical Accuracy and Clarity User-Centered Content Design Documentation Architecture & Organization Detail-Oriented Research & Content Structuring Cross-Team Collaboration & Editorial Feedback Tools & Platforms Documentation Tools: Markdown, Confluence, Notion, GitBook, Docusaurus API Docs: Swagger / OpenAPI, Postman, Stoplight Version Control: Git, GitHub, GitLab Publishing & Build Tools: Sphinx, MkDocs, Pandoc Design & Review: Figma (read-only for handoff), Grammarly, Hemingway Project Management: Jira, Slack, ClickUp, Trello Why Join TwoSD? At TwoSD , innovation isn’t a department—it’s a mindset. Here, your voice matters, your expertise is valued, and your growth is supported by a collaborative culture that blends mentorship with autonomy. With access to cutting-edge tools, meaningful projects, and a global knowledge network, you’ll do work that counts—and evolve with every challenge. Technical Writer – SaaS & AI Platforms Position: Technical Writer – SaaS & AI Platforms Location: Gurugram, India (Onsite/Hybrid) Company: TwoSD (2SD Technologies Limited) Industry: SaaS / Enterprise Software / AI Products Employment Type: Permanent Date Posted: 26 May 2025 How to Apply To apply, send your resume and documentation samples or portfolio to hr@2sdtechnologies.com or visit our LinkedIn careers page. Show more Show less

Company Qualcomm India Private Limited 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. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075100 Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Services Group, Engineering Services Group > Technical Communications - Writing General Summary 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. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075065 Show more Show less

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.

Job Area: Engineering Services Group, Engineering Services Group > Technical Communications - Writing General Summary: 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.

Hyderabad, Telangana, India Category: Engineering Hire Type: Employee Job ID 8487 Date posted 02/24/2025 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. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

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.