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Who 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!
- Full Stack Developer with a strong technical foundation in Angular, Java,Spring MVC, JPA. Spring Boot, REST API, Database, and CI/CD pipelines, Playwright
- Design, develop, and maintain full-stack applications using Angular (front-end) and Java Spring Boot (back-end). * At least 3 years of Hand-on Java EE and Core Java experience with strong leadership qualities.
- Experience with Web Service development, REST and Services Oriented Architecture.
- Expertise in Object Oriented Design, Design patterns, Architecture and Application Integration.
- Working knowledge of Databases including Design, SQL proficiency.
- Strong experience with frameworks used for development and automated testing like SpringBoot, Junit, BDD etc.
- Experience with Unix/Linux Operating System and Basic Linux Commands.
- Strong development skills with ability to understand technical design and translate the same into workable solution.
- Basic knowledge of Python/Python scripting
- Build, deploy, and monitor applications using CI/CD pipelines.
- Experience with agile development methodology.
- Good to Have Elastic Index Database, MongoDB - No SQL Database Docker Deployments, Cloud Deployments
About Us: As India's fastest-growing D2C brand, we are at the forefront of innovation and transformation in the market. We’re a well-funded, rapidly growing (we have recently launched our 100th store), omnichannel D2C brand with a passionate and innovative team.
Job Summary: We are seeking a Data Engineer to help us design, build and maintain our BigQuery data warehouse by performing ETL operations and creating unified data models. You will work across various data sources to create a cohesive data infrastructure that supports our omnichannel D2C strategy.
Why Join Us: Experience the exciting world of India's billion-dollar D2C market. As a well-funded, rapidly growing omnichannel D2C brand, we are committed to changing the way India sleeps and sits. You'll have the opportunity to work with a passionate and innovative team and make a real impact on our success.
Key Responsibilities:
ETL Operations: Design, implement, and manage ETL processes to extract, transform, and load data from various sources into BigQuery.
Data Warehousing: Build and maintain a robust data warehouse in BigQuery, ensuring data integrity, security, and performance.
Data Modeling: Create and manage flat, unified data models using SQL and DBT to support business analytics and reporting needs.
Performance Optimization: Optimize ETL processes and data models to ensure timely data delivery for reporting and analytics.
Collaboration: Work closely with data analysts, product managers, and other stakeholders to understand data requirements and deliver actionable.
Documentation: Maintain comprehensive documentation of data workflows, ETL processes, and data models for reference and onboarding
Troubleshoot: Monitor and troubleshoot data pipeline issues, ensuring timely resolution to minimize disruption to business operations.
Skills and Qualifications:
- Proficiency in SQL and experience with BigQuery
- Minimum 2 years of experience in data engineering or a similar role
- Experience with data pipeline and ETL tools (e.g., Apache Airflow, Talend, AWS Glue)
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services
- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake)
- Knowledge of data modeling, data architecture, and data governance best practices.
- Excellent problem-solving skills and attention to detail
- Knowledge of DBT (Data Build Tool) for data transformation
- Self-motivated, proactive, and highly accountable
- Excellent communication skills to effectively convey technical concepts and solutions
Bonus point - Prior experience in E-commerce or D2C space
Key Account Manager - Recruitment & Staffing
Hunarstreet Technologies Pvt. Ltd. Arihant Aura, Turbhe, Navi Mumbai (Opposite Turbhe Station)
Industry: Recruitment / Staffing / Talent Acquisition
Experience: 3–8 Years
CTC: 4–5 LPA | Full-time
About the Role
We're looking for a client-focused Key Account Manager to manage key accounts, drive business development, and oversee vendor relationships within our recruitment practice. If you come from a recruitment consultancy background and enjoy owning both client relationships and delivery outcomes, this role is for you.
What You'll Be Doing
- Serve as the primary point of contact for key clients -managing requirements, escalations, and satisfaction
- Coordinate with internal recruitment teams to ensure quality submissions and on-time closures
- Track hiring progress and share regular updates with clients across all active mandates
- Identify and acquire new clients through LinkedIn, referrals, networking, and direct outreach
- Handle commercial discussions, agreement negotiations, and payment follow-ups
- Empanel, onboard, and manage external recruitment vendors -setting clear expectations on quality and timelines
- Evaluate vendor performance and maintain a reliable vendor network to support delivery
What We're Looking For
- 3–8 years in a recruitment consultancy or staffing firm -mandatory
- Hands-on recruitment experience (IT and/or Non-IT) strongly preferred
- Proven track record in client acquisition and account management
- Experience in vendor empanelment and management
- Strong communication, negotiation, and stakeholder management skills
- Proficiency in MS Excel, ATS platforms, LinkedIn, and job portals
- Bachelor's degree in any discipline; MBA/PGDM preferred
Why Join Us
- Diverse client mandates across IT and Non-IT sectors
- Performance-based incentives tied to your results
- Transparent, collaborative work culture
- Conveniently located opposite Turbhe Station, Navi Mumbai
· Identify and engage prospective tenants through networking, cold calling, and referrals, while building strong relationships, following up consistently, and converting leads into successful tenancies.
· Coordinate and arrange showings/tours of Applicants with Property Managers.
· Screen Applicants through background and credit checks.
· Ensure closure – Conduct additional follow-ups if needed. Negotiate leasing terms and conditions and prepare leasing documents. Coordinate move-in dates, materials and other processes. Collect rent, security deposits and application fees.
· Build and maintain good relationship and strong rapport with current tenants.
· Stay up to date with current market/industry trends and with the competition. Provide information on properties to Management.
· Attain Sales Goals/Targets (Monthly/Quarterly/Annual) and ensure regular reports to Management.
· Attend to administrative duties – Maintain records and manage lease renewals. Prepare, organize and implement sales and marketing projects and activities. Ensure proper documentation/record-keeping and logistical support.
Job Title: Tech Lead – E-Commerce Platform Development
Location: Mumbai (Onsite)
Experience: 5–7 Years
Employment Type: Full-time
Key Responsibilities:
- Lead the technical architecture, development, and deployment of E-commerce websites and applications.
- Oversee development team performance, code quality, and sprint deliveries.
- Collaborate with business and project teams to define scalable and high-performance solutions.
- Integrate third-party APIs (payments, logistics, CRM, marketing tools, etc.).
- Drive platform optimizations – site speed, SEO, analytics, and automation.
- Evaluate and adopt emerging technologies to enhance user experience and operations.
- Ensure adherence to coding standards, data security, and documentation practices.
- Troubleshoot and resolve complex production issues swiftly.
Required Skills & Experience:
- 5–7 years of experience as a Full-Stack Developer / Tech Lead in E-commerce or D2C platforms.
- Expertise in Shopify and similar E-commerce stacks.
- Strong knowledge of databases (MySQL, MongoDB) and cloud hosting (AWS / GCP).
- Experience with CI/CD pipelines, version control (Git), and API integrations.
- Proven leadership experience in mentoring teams and managing end-to-end tech delivery.
- Excellent problem-solving and communication skills.
What do we expect from you?
1) Brainstorming with the business development team to create a new project and sales strategy.
2) Cold calling; making multiple outbound calls to potential clients; closing sales and working with the client through the closing process.
3) Collaborating with management on sales goals, planning, and forecasting; maintaining short- and long-term business development plans.
4) Maintaining a pipeline of all sales administration using CRM software.
5) Work on targets and under pressure as this is a hardcore sales profile.
6) Be on calls and counsel students throughout the day.
React Native leverages common JavaScript skills while allowing a developer to simultaneously target both iOS and Android. Great React Native developers can build apps that feel truly native while using web technologies that are familiar to a wide range of developers. They usually focus on the front end of the product, but they are also adept at understanding the API services and infrastructure with which the app needs to integrate.
At Cityflo, we are solving the problem of commuting to the office which affects employees in big, populated Indian cities every day. Cityflo provides a bus experience like no other - we run premium AC buses for daily commuters. We’re changing the way urban Indians commute and enabling everyone to reclaim hours of their time every day. Before the imposed lockdown due to coronavirus, we were serving about 7500 commuters per day. We plan to scale to 5,00,000 per day in the next 4 years in a profitable and sustainable manner.
You can read more about our engineering and culture on our blog: https://blog.cityflo.com/tag/engineering/" target="_blank">https://blog.cityflo.com/tag/engineering/
Role & Requirements
- 2+ year experience in application development
- ability to write efficient SQL queries and design schemas for relational databases
- good knowledge of operating systems and networking concepts
- experience in using and understanding code from Open Source
- experience with implementing best software engineering practices like version control with git, code reviews, writing unit-tests, writing readable code
- experience with Python and Django is a plus.
- inclination towards researching new technologies and adapt them to solve challenges we face
We look for engineers who
- Are committed to their growth and learning
- care about working in and building a strong engineering culture
- want to take significant ownership and decision making power
- want to make an impact in the real world while working with a great team in a hyper-growth environment
- Develop high performance, reusable, and reliable DOT net and PL/SQL code.
- Create interface services in Dot Net.
- Ensure the best possible performance and quality of the application
- Help maintain code quality, organization, and automatization
- To set and maintain coding standards.
- Able to mentor junior developers to use new coding techniques.
- Should be process-oriented.
Skills:
-Programming experience on the .NET platform in MVC framework with C# language, creating Web
applications, Web APIs, Windows Service, with good PL/SQL experience.
- PL/SQL in SQL Server/ Oracle
- Skills in HTML, C#, MVC 4, JavaScript, JQuery, AJAX, TFS, IIS
- Visual Studio 2012
- Team player with good communication skills
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.
This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.
You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.
What you will achieve:
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Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap
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Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs
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Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists
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Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space
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Partner with the executive team and other business leaders to deliver cross-functional research work and models
Required Skills:
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Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience
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Knowledge of deep learning & NLP
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Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
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Experience with GPU computing is a plus.
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Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.
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Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
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Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.
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Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
Qualifications
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Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization
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Expert-level experience with machine learning that can be applied to business problems
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Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
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Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)
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5+ years of industry experience in data science and machine learning, preferably at a software product company
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3+ years of experience managing data science teams, incl. managing/grooming managers beneath you
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3+ years of experience partnering with executive staff on data topics








