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Do you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.
We are looking "SAP FICO/TRM Consultant" for Reputed Client @ Chennai Permanent Role.
• 5+ Years of experience in FICO and FM. REFX and GM knowledge in preferred.
• Will be the single point of contact for any Finance user’s requirement.
• Will provide Level 1,2,3 support and raise SAP tickets if required.
• Will configure and develop the systems as per user requirements.
• Will coordinated and collaborate with any additional resources required to complete requirement or resolve an issue. Either with other SAP consultants or external resources.
• Solid Knowledge of SAP FI Sub-Modules, GL, AR, AP, FA, ans banking
• Good Knowledge of SAP CO Sub Modules, CCA, PC, and PA
• Good Knowledge of SAP Treasury Management Enf to End Implementation experience, for both public and prisectors
• Will be responsible to provide knowledge and training for users.
• Will be responsible to update the process related documentation.
- BS in CS or EE or equivalent
- Experience working on large scale systems in rapid growth environments
- Experience with public cloud offerings (AWS, GCP, Azure)
- Solid programming skills; preferred experience in Java, and/or Python
- Experience with modern web frameworks, advanced algorithms/data intelligence, public
- cloud platforms and streaming data pipelines
- Familiarity with containerization, microservices architecture, continuous integration, and delivery
- 5+ years’ experience preferred
in Microsoft .NET technologies in financial services domain.
Lead the development of web-based applications using the skillsets
mentioned below
Lead team of Developer and/or Trainee Developer to deliver as per internal
customer commitments
Responsible for ensuring compliance with the SDLC processes and tools
Implement continuous improvement measures for information security and high availability
Job Summary
Condé Nast is looking for a talented Software Quality Assurance Manager. In this role you will
be part of an IT organization and to provide direction and leadership on all quality matters
across the platform or domain. This is an opportunity to act as a key contributor in making sure
that work packages transition seamlessly from development into live environments Hone your
knowledge of quality best practices and collaboration and stakeholder management skills
Objectives of the Role
● Lead a global team of QE engineers who are responsible for ensuring E2E(end to end) quality
of our products
● Provide high direction for test teams delivering a clear and consistent vision
● Develop a roadmap for building needed test expertise. Establish and evolve formal QA
processes
● Define quality and automation KPI goals for the team and drive success towards achieving
them.
● To recommend, implement, and monitor preventative and corrective actions to ensure that
quality assurance standards are achieved
● Participate in brainstorming sessions and cross-departmental meetings to ensure collaborating
and cohesion
● Oversee all aspects of quality assurance including establishing metrics, implementing best
practices, and developing new tools and processes to ensure quality goals are met
● Act as a key point of contact for all QA aspects of releases, providing QA services and
coordinating QA resources internally and externally
● Review test strategies and test plans and ensure coverage for functional, performance and
scalability aspects are covered and tested
● Working cross functionally with Product and Engineering to ensure smooth delivery of product
that are on time, feature rich and with high quality
● Present QA status of testing with state-of-the-art dashboards and highlight key blockers and
where help is needed
● Ensure automated scripts are produced for E2E testing scenarios, including performance and
scale testing
● Review user found defects and continue to enhance and improve testing methodology and fill
gaps in testing as needed
● Communicate product status, key issues, and insights to key constituents across the
organization, including the executive team.
● Develop process for manual and automated testing strategy for business applications, web
applications and BI solutions.
● Experience in establishing testing strategy for dealing with quarterly releases by business
applications
Required Skills
● 12 + years’ experience in Product Quality testing role and 2-3 yrs in Management position
● Seasoned QA Manager with track record of delivering high quality products in a fast paced
environment
● Must have prior experience in building QA / Data Validation framework in bigdata for various
BU's
● Experience in "closing the loop" and "continuous improvement" of QA strategies based on
learnings from field issues
● Experience in business applications, web application, Business Intelligence applications
● Hands-on QA experience including testing automation. Deep knowledge of automation best
practices and industry trends.
● Good to have knowledge on One or more Test automation tools like xUnit , Selenium, Jmeter ,
Ranorex etc.
● Experience in automation testing using Selenium Webdriver, Testing Frameworks like TestNG
and NUnit.
● Strong proficiency in SQL coding (T-SQL or PL-SQL)
● Familiarity with data warehousing practices, ETL processing and denormalized data structures.
● Background in programming and testing across platforms is a plus
● Proficient with Bigdata concepts and/or tools is a plus (Hadoop, Hive, Spark).
● Strong analytical and reasoning skills
● Strong verbal, written communication skills and strong interpersonal skills.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
Job Responsibilities:
Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture.
- Provide software development plans that meet future needs of clients and markets
- Evolve the new software platform and architecture by introducing new components and integrating them with existing ones
- Perform memory, cpu and resource management
- Analyze stack traces, memory profiles and production incident reports from traders and support teams
- Propose fixes, and enhancements to existing trading systems
- Adhere to release and sprint planning with the Quality Assurance Group and Project Management
- Work on a team building new solutions based on requirements and features
- Attend and participate in daily scrum meetings
Required Skills:
- JavaScript and Python
- Multi-threaded browser and server applications
- Amazon Web Services (AWS)
- REST
Experience of design and development of Enterprise grade Mobile application
Hands on experience in performance tuning, debugging, monitoring
Experience designing clean and maintainable APIs
Experience with multithreaded programming, reusable frameworks, UI components, Android Jetpacks
tools and optimization techniques
REST API based web service and other system integration, web service integration,
Preferably have working experience of technologies like webRTC, ReactJS, NodeJS, JSON, Other hybrid
application development platform
Previous experience of developing VoIP based solution, live streaming/video calling based application
Nice to have: experience on Server side technologies like: J2EE, PHP. RDBMS knowledge on
MySQL/Oracle; Other associated technologies like: Git, JIRA, AWS technologies, Linux; Agile development
methodologies; Design Patterns like: MVC, MVVM ; Knowledge on various Security standards
DevOps understanding is a plus.
Previous experience of working in Product/Solution development or Start-ups will be added advantage
Domain Knowledge: Health care
Good Communication skil
- Analyze and organize raw data
- Build data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Build algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Should have experience in Python, Django Micro Service Senior developer with Financial Services/Investment Banking background.
- Develop analytical tools and programs
- Collaborate with data scientists and architects on several projects
- Should have 5+ years of experience as a data engineer or in a similar role
- Technical expertise with data models, data mining, and segmentation techniques
- Should have experience programming languages such as Python
- Hands-on experience with SQL database design
- Great numerical and analytical skills
- Degree in Computer Science, IT, or similar field; a Master’s is a plus
- Data engineering certification (e.g. IBM Certified Data Engineer) is a plus



