Role: SW Project Manager
Location: Hyderabad
Fulltime
Experience: Should be from Automotive SW Background
Must Have:
- Experience of working in any of the commercial AUTOSAR stack (EB/Vector/KPIT/Mentor/Arccore etc.)
- Very good problem resolution and debugging skills.
- Very good communication and cross cultural skills.
- Experience in project planning, estimation, budget control, release management
- Very good knowledge in ASPICE
Good To Have:
- Experience in migrating base software from legacy to AUTOSAR architecture
- Experience in configuration of different AUTOSAR BSW components (Comms/DCM/DEM/Mem/OS/RTE)
- Experience of working in Vector AUTOSAR stack.
- Experience in Infineon multicore processors - 2xx series.
Job Roles and Responsibilities:
- Manage a team of engineers in the role of local software project manager
- Responsible for software delivery out of India Site.
- Follow ASPICE process (develop SRS, SDD, SW Construction, Software Unit Verification) before delivering software to OEM
- Travel to various ZF locations across the globe based on need.

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IndiWork Software Solutions Pvt. Ltd. is hiring a Web Developer for our Mohali location. We are looking for candidates with 1–2 years of relevant experience.
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Strong Lead Product Designer/ Sr product designer/ Product design manager Profile
Mandatory (Experience 1): Must have a minimum 6+ years of hands-on Product Design experience with product companies
Mandatory (Experience 2): Must have experience leading a team or mentoring junior designers (not a pure people manager)
Mandatory (Design Craft): Strong design craft with deep expertise in UX, interaction design, design systems, prototyping, problem-solving, and user-centered workflows. Should be able to individually assess and elevate design quality.
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Job Description:
- Extensive experience in Appian BPM application development
- Knowledge of Appian architecture and its objects best practices
- Participate in analysis, design, and new development of Appian based applications
- Team leadership and provide technical leadership to Scrum teams
- Must be able to multi-task, work in a fast-paced environment and ability to resolve problems faced by team
- Build applications: interfaces, process flows, expressions, data types, sites, integrations,
- Proficient with SQL queries and with accessing data present in DB tables and views
- Experience in Analysis, Designing process models, Records, Reports, SAIL, forms, gateways, smart services, integration services and web services
- Experience working with different Appian Object types, query rules, constant rules and expression rules
Qualifications
- At least 6 years of experience in Implementing BPM solutions using Appian 19.x or higher
- Over 8 years in Implementing IT solutions using BPM or integration technologies
- Certification Mandatory- L1 and L2 a
- Experience in Scrum/Agile methodologies with Enterprise level application development projects
- Good understanding of database concepts and strong working knowledge any one of the major databases e g Oracle SQL Server MySQL
Additional information Skills Required
- Appian BPM application development on version 19.x or higher
- Experience of integrations using web services e g XML REST WSDL SOAP API JDBC JMS
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We are looking for 2- 4 years of experienced Video Editor. Must have experince in different type of projects – e.g., short-form content, brand films, social media, ads. The role is full-time - WFO and based in Porur,Chennai.
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We are looking for an experienced and creative UI/UX Designer to join our team!
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- Test new ideas before implementing
- Conduct ongoing user research
Qualifications:
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Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
As a Principal Full-stack engineer, you will work across the Acceldata platform products. We’re looking for people with a strong background or inclination towards data engineering and systems; you’re comfortable in dealing with lots of moving pieces and can work at the intersection of Databases, API's and Frontends
You will:
- Be actively involved in strategic direction and product decisions.
- Design, build and maintain APIs, user-facing experiences, and services.
- Work closely with our customers and sales teams on a regular basis to carve out new features and use cases
- Work with MVC frameworks such as React or Angular
- Work with database systems, RDBMS, Mongo, Elastic Search.
- Develop shared front-end components (JavaScript & CSS) for use across all of our products, enabling other UI engineers to build better products faster.
You need:
- 10+ years of significant of web-application development experience in one or more JS frameworks. You care about building better products.
- Strong Computer Science fundamentals in data structures, algorithm design, and problem-solving.
- You're as comfortable writing plain JavaScript as working with modern frameworks like Angular. You've built your own controls and widgets in JavaScript.
- You write unit tests for your JavaScript (really, you do). You've probably used Node. You have built complex JS web applications.
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Good to have:
- Contribution to open-source projects.
- Background in enterprise software
- JVM performance tuning and debugging
Key Skills
- Must have experience building apps using fluter, good knowledge on dart. Preferably built and deployed couple of apps both on iOS and Android
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- Has an understanding on Computer vision and basic deep learning concepts. Any prototypes of proof of concepts are a big plus.
What they need to do?
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- UI/UX - understand design guidlines and implement them in the project
- Communication - communicate project goals clearly to the team. Understand and convert project requirements in to actionable steps
- Documentation - maintain documentation to support product development
What is homeground?
- HomeGround is an AI platform that helps aspiring cricketers and coaches level up thier training. We help our users get an equal opportunity to play, train for and achieve their goal by providing professional level training analytics right on the smartphone, no special equipment or sensors required.
- HomeGround is one of the Top 10 early stage sports tech startup selected by Startupbootcamp Australia
- Our team shares experience in product growth, marketing and deep learning. We are passionate about our work and are committed 100% to our startup.
- Strong experience working as a .Net developer.
- Proficient in Microsoft .NET development using C#. Experience with web development technologies including http://asp.net/">ASP.NET, MVC, EF, HTML, JavaScript, Angular, JQuery, AJAX, and CSS.
- Experience designing and developing enterprise-grade software.
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- Experience with debugging, performance profiling and optimization.
- Comprehensive understanding of object-oriented and service-oriented application development techniques and theories.
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About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.











