800000 - 1400000 Indian Rupee - Yearly
Hyderabad, Telangana, India
Information Technology
Full-Time
Inncircles
Overview
Job Description
Role: Data Scientist
Location: Hyderabad, India
Experience: 1-3 Years
Introduction To The Company
Inncircles Technologies is a problem-solving company. With powerful data management capabilities and AI-driven algorithms, we have developed a construction management platform named Inncircles Arena, a one-stop solution for managing any construction project.
Inncircles Arena can help construction industry owners, builders, general contractors, and specialist contractors to improve construction management operations efficiency and project management. The application runs on a cloud-based platform and offers a complete range of tools to gather field data through a user-friendly interface and mobile applications.
Due to the software's modern, user-friendly design, users can access project information from any location through mobile and web applications. Collaboration tools are integrated into each feature to facilitate effective coordination and ensure all teams are on the same page.
With highly configurable features, products, solutions, and services, we aim to make digital transformation easier and more simplified for construction companies.
Why should you join our team?
We are looking for a Computer Vision and Machine Learning Engineer with a minimum of 2 years of hands-on experience to join our dynamic team. In this role, you will work on designing and implementing computer vision models and machine learning algorithms to solve real-world problems. You will collaborate with cross-functional teams to deliver cutting-edge solutions that enhance our products and contribute to advancements in AI technology, establish and lead our new vision department.
Key Qualifications
Experience: 2+ years in computer vision and ML, proficient in Python and frameworks .
Skills
Good knowledge on generative AI and ability to build Agentic Systems.
Building and deploying scalable Models in any Cloud platforms.
Strong foundation in vision systems, image processing, and ML algorithms.
Adaptability: Startup and founding engineer mindset, able to innovate and lead in a fast-growing, collaborative environment.
Preferred Qualifications
Behaviors We Will Track
Behaviors will account for 40% of performance, while goals contribute to 60%
ALL FOR ONE
We get to the goal together - inspiring, sharing, and creating as a team. We solve problems for all rather than serving our immediate team, group, or function.
We move swiftly with diligence taking accountability for our work. We seek to streamline and eliminate unnecessary obstacles. We act quickly, not allowing the pace to be captive of perfection. Every delay has a remarkable impact deferred for our customers.
We make tough decisions when necessary to ensure our focus on priorities and outcomes. Attuned to opportunity, we make intelligent decisions, adapting to create the best outcomes. We deal comfortably with ambiguity, uncertainty, and risk.
Undaunted by failure, we accept what doesn’t work, learn from it, and get on to what does. We collaborate while asking “why” to achieve more than we thought was possible. We build robust processes from the learnings of our small-scale experiments and scale when needed.
Role: Data Scientist
Location: Hyderabad, India
Experience: 1-3 Years
Introduction To The Company
Inncircles Technologies is a problem-solving company. With powerful data management capabilities and AI-driven algorithms, we have developed a construction management platform named Inncircles Arena, a one-stop solution for managing any construction project.
Inncircles Arena can help construction industry owners, builders, general contractors, and specialist contractors to improve construction management operations efficiency and project management. The application runs on a cloud-based platform and offers a complete range of tools to gather field data through a user-friendly interface and mobile applications.
Due to the software's modern, user-friendly design, users can access project information from any location through mobile and web applications. Collaboration tools are integrated into each feature to facilitate effective coordination and ensure all teams are on the same page.
With highly configurable features, products, solutions, and services, we aim to make digital transformation easier and more simplified for construction companies.
Why should you join our team?
- 100% growth with diverse experience working with international clients
- Exposure across media & digital channels
- Dynamic learning curve across Global Landscape
- A part of a young team, ready to experiment together
We are looking for a Computer Vision and Machine Learning Engineer with a minimum of 2 years of hands-on experience to join our dynamic team. In this role, you will work on designing and implementing computer vision models and machine learning algorithms to solve real-world problems. You will collaborate with cross-functional teams to deliver cutting-edge solutions that enhance our products and contribute to advancements in AI technology, establish and lead our new vision department.
Key Qualifications
Experience: 2+ years in computer vision and ML, proficient in Python and frameworks .
Skills
Good knowledge on generative AI and ability to build Agentic Systems.
Building and deploying scalable Models in any Cloud platforms.
Strong foundation in vision systems, image processing, and ML algorithms.
Adaptability: Startup and founding engineer mindset, able to innovate and lead in a fast-growing, collaborative environment.
Preferred Qualifications
- Familiarity with usecases related to Construction Domain.
- Experience with Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure for model deployment.
- Hands-on Experience in NLP: Knowledge of natural language processing (NLP) is a plus.
- Contributions to Open-Source Projects: Contributions to relevant open-source projects or machine learning competitions (e.g., Kaggle).
- Team > Individual.
- Velocity (speed+direction) is of the essence.
- Learn fast. Fail fast.
- Ch (calm) aos.
- No ceiling. No speed limit.
- Achieve diligence
- Build owner mindset
- Lead with empathy
Behaviors We Will Track
Behaviors will account for 40% of performance, while goals contribute to 60%
ALL FOR ONE
We get to the goal together - inspiring, sharing, and creating as a team. We solve problems for all rather than serving our immediate team, group, or function.
- Builds strong relationships with peers and cross-functionally to enable higher performance
- Motivates and can influence others, including those over whom you have no direct authority
- Builds highly effective cross-functional team
We move swiftly with diligence taking accountability for our work. We seek to streamline and eliminate unnecessary obstacles. We act quickly, not allowing the pace to be captive of perfection. Every delay has a remarkable impact deferred for our customers.
- Raises the bar and is never satisfied with the status quo
- Seeks to simplify and achieve velocity in all tasks
- Steps up and takes leadership to own toughest challenges.
- Delivers the highest quality work in the least time
We make tough decisions when necessary to ensure our focus on priorities and outcomes. Attuned to opportunity, we make intelligent decisions, adapting to create the best outcomes. We deal comfortably with ambiguity, uncertainty, and risk.
- Deals comfortable with ambiguity, uncertainty & risk
- Makes high-quality decisions in less-than-perfect info
- Delivers business results while positioning us for success in the future
Undaunted by failure, we accept what doesn’t work, learn from it, and get on to what does. We collaborate while asking “why” to achieve more than we thought was possible. We build robust processes from the learnings of our small-scale experiments and scale when needed.
- Learns fast, grasps the essence, and can change course quickly where indicated
- Questions relentlessly with endless curiosity
- Builds basic functionalities first, pressure testing and learning from them before scaling
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