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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.
Job Description:
- Looking for a SAP SD Architect with 10 years of experience.
- Experience in working with SD contract management processes (Master data, validity, pricing, Billing Plans, and Invoicing).
- Experience in RAR is required.
Responsibilities
- Assist in daily administrative tasks, such as copying, filing, and scanning documents
- Manage and maintain executives' schedules, appointments, and travel arrangements
- Coordinate meetings, including preparing agendas, taking minutes, and distributing relevant documents
- Handle incoming and outgoing correspondence, including emails, phone calls, and mail
- Maintain office supplies and equipment by monitoring inventory and placing orders as needed
- Assist in the preparation of reports, presentations, and other documents
- Schedule and coordinate office events, including meetings, training sessions, and conferences
- Perform general office duties, such as greeting visitors, answering phone calls, and organizing office space
Qualifications
- Proven experience as an administrative assistant or similar role
- Excellent organizational and time management skills
- Excellent Communication skills
- Experience in computer proficiency and Microsoft office suite
- Ability to multitask and prioritize tasks
- Attention to detail and problem-solving skills
- Discretion and confidentiality
Location: Chennai
Requirements:
Job Description for Java:
• Experience in JAVA programming and application development using Spring MVC, Spring Boot, Spring Security, Hibernate and Microservices
• Experience in building products with Full stack technologies, with excellent understanding of computer science fundamentals, data structures, algorithms, OOPs and OOA/D
• Experience in MySQL, Mongo dB (or other NOSQL db’s), REST, Web Sockets, JavaScript, Ajax
• Experience with GO a plus
• Experience with one of JavaScript Frameworks (React, Angular, Vue etc.)
• Experience in Rest API development using Spring MVC or Spring Boot
• Able to define, design, implement complex, and scalable systems
• Good team player and communication skills
• Experience with agile development methodologies with Test Driven Development (TDD)
• Experience with Jenkins Setup CI/CD (Continuous Integration / Continuous delivery)
make an impact by enabling innovation and growth; someone with passion for what they do and a vision for the future.
Responsibilities:
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with enterprise architects to define and ensure proposed.
- Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks
Requirements:
- Experience leading development efforts through all phases of SDLC.
- 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
- Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
- Hands on experience in SQL, data management, and scripting (preferably Python).
- Strong data visualisation design skills, data modeling and inference skills.
- Hands-on and experience in managing small teams.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
- Team handling preferred for 5+yrs experience candidates.
- Notice period less than 30 days.
• C#
• WebAPi
• Angular or React JS
As a Senior Software Engineer / Dot Net Developer, you will:
• Design and develop applications using C#, ASP.Net MVC and .Net Core
• Proficient in one or more JavaScript libraries and frameworks such as Angular or ReactJS
• Microsoft SQL Server
• Deep understanding of object oriented design principles & patterns
• Demonstrable ability to write clean, structured, maintainable code
• Strong analytical and debugging skills
• Must display a high degree of willingness and ability to understand a new business domain, a
new product, the product’s business and technical underpinnings
• Good verbal and written communication skills
• Responsible for designing, deploying, and maintaining analytics environment that processes data at scale
• Contribute design, configuration, deployment, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, enrichment, and loading of data into a variety of cloud data platforms, including AWS and Microsoft Azure
• Identify gaps and improve the existing platform to improve quality, robustness, maintainability, and speed
• Evaluate new and upcoming big data solutions and make recommendations for adoption to extend our platform to meet advanced analytics use cases, such as predictive modeling and recommendation engines
• Data Modelling , Data Warehousing on Cloud Scale using Cloud native solutions.
• Perform development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions
COMPETENCIES
• Experience building, maintaining, and improving Data Models / Processing Pipeline / routing in large scale environments
• Fluency in common query languages, API development, data transformation, and integration of data streams
• Strong experience with large dataset platforms such as (e.g. Amazon EMR, Amazon Redshift, AWS Lambda & Fargate, Amazon Athena, Azure SQL Database, Azure Database for PostgreSQL, Azure Cosmos DB , Data Bricks)
• Fluency in multiple programming languages, such as Python, Shell Scripting, SQL, Java, or similar languages and tools appropriate for large scale data processing.
• Experience with acquiring data from varied sources such as: API, data queues, flat-file, remote databases
• Understanding of traditional Data Warehouse components (e.g. ETL, Business Intelligence Tools)
• Creativity to go beyond current tools to deliver the best solution to the problem
• Professional Experience with HTML, CSS, JavaScript is required
• Experience with JavaScript-based MVC frameworks, especially AngularJS / Vue Js/
similar frameworks is required.
• Knowledge of RESTful services, especially NodeJS is required
• Experience in TypeScript, Git, and unit tests is required
• Proficiency with Object-Oriented design principles and working knowledge of Linux OS.
• Ability to articulate and quickly adopt development best practices.
• Excellent organizational and communication skills
• Willingness to work as a member of a team, including participating in peer code reviews
and maintaining project and operational documentation.
• Ability to work as part of a geographically diverse team
• Ability to communicate with both technical and non-technical people
• B. Tech or M. Tech in Computer Science or equivalent





