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C++About Quidich
http://www.quidich.com">Quidich Innovation Labs pioneers products and customized technology solutions for the Sports Broadcast & Film industry. With a mission to bring machines and machine learning to sports, we use camera technology to develop services using remote controlled systems like drones and buggies that add value to any broadcast or production. Quidich provides services to some of the biggest sports & broadcast clients in India and across the globe. A few recent projects include Indian Premier League, ICC World Cup for Men and Women, Kaun Banega Crorepati, Bigg Boss, Gully Boy & Sanju.
What’s Unique About Quidich?
- Your work will be consumed by millions of people within months of your joining and will impact consumption patterns of how live sport is viewed across the globe.
- You work with passionate, talented, and diverse people who inspire and support you to achieve your goals.
- You work in a culture of trust, care, and compassion.
- You have the autonomy to shape your role, and drive your own learning and growth.
Opportunity
- You will be a part of world class sporting events
- Your contribution to the software will help shape the final output seen on television
- You will have an opportunity to work in live broadcast scenarios
- You will work in a close knit team that is driven by innovation
Role
We are looking for a tech enthusiast who can work with us to help further the development of our Augmented Reality product, https://www.quidich.com/services/spatio">Spatio, to keep us ahead of the technology curve. We are one of the few companies in the world currently offering this product for live broadcast. We have a tight product roadmap that needs enthusiastic people to solve problems in the realm of software development and computer vision systems. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for candidates that are passionate about the product and embody our values.
Responsibilities
- Working with the research team to develop, evaluate and optimize various state of the art algorithms.
- Deploying high performance, readable, and reliable code on edge devices or any other target environments.
- Continuously exploring new frameworks and identifying ways to incorporate those in the product.
- Collaborating with the core team to bring ideas to life and keep pace with the latest research in Computer Vision, Deep Learning etc.
Minimum Qualifications, Skills and Competencies
- B.E/B.Tech or Masters in Computer Science, Mathematics or relevant experience
- 3+ years of experience in computer vision algorithms like - sfm/SLAM, optical flow, visual-inertial odometry
- Experience in sensor fusion (camera, imu, lidars) and in probabilistic filters - EKF, UKF
- Proficiency in programming - C++ and algorithms
- Strong mathematical understanding - linear algebra, 3d-geometry, probability.
Preferred Qualifications, Skills and Competencies
- Proven experience in optical flow, multi-camera geometry, 3D reconstruction
- Strong background in Machine Learning and Deep Learning frameworks.
Reporting To: Product Lead
Joining Date: Immediate (Mumbai)
JavaC++
ScalaLogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.
Responsibilities:
Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams
Requirements:
Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind
PythonTeam:- We are a team of 9 data scientists working on Video Analytics Projects, Data Analytics projects for internal AI requirements of Reliance Industries as well for the external business. At a time, we make progress on multiple projects(atleast 4) in Video Analytics or Data Analytics.
Data Science
Machine Learning (ML)- Minimum 2.5 years of experience as a Python Developer.
- Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
- Minimum 2.5 years of experience in SQL/ Postgress
- Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
- Minimum 2+ years of experience in deployment (CICD with Jenkins)
- Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure
Machine Learning (ML)Python- You're proficient in AI/Machine learning latest technologies
- You're proficient in GPT-3 based algorithms
- You have a passion for writing code as well as understanding and crafting the ways systems interact
- You believe in the benefits of agile processes and shipping code often
- You are pragmatic and work to coalesce requirements into reasonable solutions that provide value
Responsibilities
- Deploy well-tested, maintainable and scalable software solutions
- Take end-to-end ownership of the technology stack and product
- Collaborate with other engineers to architect scalable technical solutions
- Embrace and improve our standards and processes to reduce friction and unlock efficiency
Current Ecosystem :
ShibaSwap : https://shibaswap.com/#/" target="_blank">https://shibaswap.com/#/
Metaverse : https://shib.io/#/" target="_blank">https://shib.io/#/
NFTs : https://opensea.io/collection/theshiboshis" target="_blank">https://opensea.io/collection/theshiboshis
Game : Shiba Eternity on iOS and Android
Amazon Web Services (AWS)
DockerPython
MongoDBThis profile will include the following responsibilities:
- Develop Parsers for XML and JSON Data sources/feeds
- Write Automation Scripts for product development
- Build API Integrations for 3rd Party product integration
- Perform Data Analysis
- Research on Machine learning algorithms
- Understand AWS cloud architecture and work with 3 party vendors for deployments
- Resolve issues in AWS environmentWe are looking for candidates with:
Qualification: BE/BTech/Bsc-IT/MCA
Programming Language: Python
Web Development: Basic understanding of Web Development. Working knowledge of Python Flask is desirable
Database & Platform: AWS/Docker/MySQL/MongoDB
Basic Understanding of Machine Learning Models & AWS Fundamentals is recommended.
Deep LearningPythonWho Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
Machine Learning (ML)Data ScienceWe’re building the future of private financial markets
Traditionally a space only for the wealthy and well-connected, we believe in a future where private markets are more accessible to investors and fundraisers. By leveling the playing field we hope to create a more equitable economy, where inspiring companies are connected to inspired investors, whoever and wherever they are.
Leveraging our trusted brand, global networks and incredible team, we’re building a technology-enabled ecosystem that is as diverse and dynamic as our investor network. As we progress on this ambitious journey, we’re looking for energetic and creative people to support and leave their mark on our platform.
Before Applying
- We have big plans to disrupt the traditional fundraising process for private businesses
- You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing, monitoring, and improving products to facilitate the activity of private investing
- Everything we do is focused on helping build the private capital markets for the next generation of business owners and investors
- We work really hard but play really hard as well
Job purpose
- We are looking for passionate Data Scientists with strong problem-solving skills and prior experience in building machine learning models. You should possess the ability to thrive in a fast-paced environment. As a Data Scientist, working with passionate data-driven enthusiasts, you will lead the deployment of decision sciences with advanced analytics as well as machine learning and AI capabilities to support various lines of businesses. You will also help to enable a data driven culture within the organization.
Roles and responsibilities
- Work with other Data Scientists, Data Engineers, Data Analysts, Software engineers to build and manage data products
- Work on cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Develop an enterprise data science strategy to achieve scale, synergies, and sustainability of model deployment
- Undertake rigorous analyses of business problems on structured and unstructured data with advanced quantitative techniques.
- Apply your expertise in data science, statistical analysis, data mining and the visualisation of data to derive insights that value-add to business decision making (e.g. hypothesis testing, development of MVPs, prototyping etc).
- Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization and communication deliverable.
You’ll be a great fit for us if you
- Bachelor or Master’s in Computer Science, Statistics, Mathematics, Economics, or any other related fields
- At least 3 to 5 years of hands-on experience in a Data Science role with exposure and proficiency in quantitative and statistical analysis, predictive analytics,multi-variate testing and algorithm-optimization for machine learning
- Deep expertise in a range of ML concepts, frameworks and techniques such as logistic regression, clustering, dimensional reduction, recommendation systems,neural nets etc.
- Strong understanding of data infrastructure technologies (e.g. Spark, TensorFlow etc).
- Familiarity with data engineering methodologies, including SQL, ETL and experience in manipulating data sets with structured and unstructured data using Hadoop, AWS or other big data platforms.
- Highly proficient in data visualization and the use of dash boarding tools (e.g.Tableau, Matplotlib, plot.ly etc).
- Proven track record in delivering bespoke data science solutions in a cross-functional setting.
- Experience in managing a small team is preferred.
Bonus attributes
- Interested in dealing with data, including finding, and exploring more efficient ways/programs (e.g. machine learning) to collect, store, and analyse data
- Preferably have some understanding of terms in financial statements and financial ratios
- Strong problem-solving skills – able to find various ways to solve problems and decide which solution to move forward
- Ability to work under pressure and tight timings
- Team oriented, but highly independent for their own projects
- High level of organisational skills and ability to prioritize
Data ScienceMachine Learning (ML)Python
Data Analytics
Data SciencePython
DjangoMachine Learning (ML)Machine Learning (ML)Deep LearningPython
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