Product Manager

Budget: 35 LPA to 45 LPA

Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Key Responsibilities:

• Design, develop, and deploy computer vision and machine learning models for analyzing visual and document-based data.
• Build pipelines that convert unstructured visual inputs into structured and usable information.
• Develop and evaluate models for tasks such as object detection, segmentation, document parsing, and image understanding.
• Apply OCR and related techniques to extract meaningful information from complex documents and imagery.
• Work with large datasets and build efficient training and evaluation pipelines.
• Handle real-world visual datasets that may contain noise, inconsistencies, incomplete information, or varying formats.
• Experiment with different approaches to solve challenging computer vision problems and evaluate tradeoffs between accuracy, performance, and complexity.
• Collaborate with product and engineering teams to integrate machine learning models into scalable production systems.
• Continuously improve model performance, accuracy, and robustness in real-world environments.
• Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate.
• Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows.

Requirements:

• 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding.
• Strong proficiency in Python for machine learning and data processing.
• Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem.
• Experience with computer vision tooling such as OpenCV.
• Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas.
• Experience developing models for tasks such as segmentation, object detection, or document analysis.
• Experience working with large image datasets and building training pipelines.
• Solid understanding of model evaluation, data preprocessing, and performance optimization.
• Strong problem-solving skills and ability to work in a fast-paced product environment.
• Ability to collaborate effectively with cross-functional engineering and product teams.
• The candidate should be based in India
• Willing to work remotely full-time
• Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Preferred Qualifications:

• Experience with TensorFlow or other deep learning frameworks.
• Experience working with OCR pipelines or document analysis systems.
• Experience deploying machine learning models in production environments.
• Experience with containerized deployments such as Docker or Kubernetes.
• Experience working with complex technical documents, diagrams, or structured visual data.
• Familiarity with spatial or geometry-related data problems.
• Experience with libraries such as Detectron2, MMDetection, or similar.
• Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling).
• Contributions to open-source ML or computer vision projects are a plus.

Additional Information:

• The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions.
• Candidates are required to include links to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built.

Benefits:

• Flexible remote work opportunities with career development opportunities
• Engagement with a supportive and collaborative global team
• Competitive market based salary

Experience in Core Java and Spring Boot.

 • Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns. 

• Should have the ability to analyze, design, develop and test complex, low-latency clientfacing applications. 

• Good development experience with RDBMS.

 • Good knowledge of multi-threading and high-performance server-side development.

• working knowledge of Kafka

• Excellent problem solving and coding skills. 

• Strong interpersonal, communication and analytical skills. 

• Should have the ability to express their design ideas and thoughts.

Position Overview:

We are looking for a skilled Software Developer to work in abroad countries. The ideal candidate will have a strong background in software development, problem-solving abilities, and a passion for creating high-quality applications. We provide job assistance to the canditates for there great future and career growth.

Responsibilities:

• Person should have good experience working as Full Stack developer.
• Manage End to End Solution Development.
• Write clean, scalable, and maintainable code using Next.js, React.js, Node.js, Express, and MongoDB.
• Debug and troubleshoot issues to enhance performance and user experience.
• Participate in code reviews, project planning, and discussions.

JOB DESCRIPTION

·        Develop business plans for allocated accounts. Achieve revenue targets 

·        Develop loyalty program strategy, design and develop programs to achieve identified engagement objectives.

·        Own agency deliverables wrt to allocated accounts – Program KPIs, operational SLAs, reporting & MIS, technology development, customer care operations, creative services, event management, print & productions etc.

·        Upsell and cross-sell Colorgenics’s services by finding new avenues of revenue generation within allocated accounts

·        Conduct quarterly and annual program reviews with client’s senior management teams.

·        Share strategic inputs, industry best practices with clients and help driving the program performance

·        Develop and implement tactical campaigns to improve engagement through various initiatives and promotions.

·        Giving creative direction to the team. And act as a creative output reviewer and approver.  

·        Team mentoring & reviews.

·        Act as a facilitator of 3rd party auditors appointed by clients.

·        Keeping total control on invoicing and collections.

CANDIDATE PROFILE AND QUALIFICATION:

·        Thorough knowledge of CRM & loyalty marketing. A seasonal professional with at least 8 years’ experience in heading big accounts

·        Marketing & Analytics knowledge, excellent communication skills, Technical and Managerial experience in designing, developing & growing a loyalty program.

·        This role requires a solid background in loyalty program management and client relationship management.

·        Team handling exposure and aptitude to handle challenging circumstances.

·        MBA / PGDBM is required

What you can expect at Colorgenics?

A Dynamic workplace with start-up attitude which fuels your passion to learn and unlearn. You may expect a fantastic work atmosphere of like-minded individuals keen to do something out of the box and disruptive. 

Company Overview:

Propel is an innovative and fast-growing software development company specializing in designing and building enterprise applications. Our commitment to excellence and passion for technology has positioned us as a leader in our domain.  

We are searching for a talented Senior Architect to join our dynamic team and lead our efforts in scaling and optimizing our software solutions. 

Key Responsibilities: 

• Diverse Architectural Expertise: Drive solutions using various architectures, including SOA, Enterprise application, Microservices, event-driven, and distributed systems. Utilize experience in big data systems like Spark, Hadoop, and Cassandra to model and design distributed architectures. 
• Comprehensive Cloud Mastery: Demonstrate expertise in cloud architectures (SaaS, PaaS, IaaS) across platforms including AWS, Azure, and Google Cloud. Lead legacy system migration to these cloud infrastructures. 
• Containerization & Orchestration Excellence: Design highly scalable applications using Docker containers, optimizing with Kubernetes orchestration. 
• Solution Development: Lead the end-to-end solutioning process, from proof of concept to implementation, tackling complex business challenges with innovative technical solutions. 
• Data Management & Security: Oversee the creation and management of data pipelines using strategies like ETL, ELT, and CDC in various modes. Design data warehouses, ensuring security for Data at Rest and Data in Transit. Implement data encryption strategies utilizing algorithms like AES, DES, MD5, and SHA1. Ensure secure access through identity platforms like ADFS, Auth0, and Okta, along with Single Sign-on and Single Sign-Off integrations. 
• Compliance & Standards: Architect and design solutions ensuring compliance with regulations like HIPAA and GDPR. Advocate for and ensure adherence to best practices in development and DevOps, encompassing project management tools, version control systems, CI/CD pipelines, static code analyzers, and more. 
• Version Control & Collaboration Tools: Ensure best practices in utilizing software version control systems and software delivery platforms, enhancing team collaboration and project tracking. 
• Business Alignment: Engage proactively with stakeholders and product managers to define and translate business requirements into technical specifications, ensuring alignment and value delivery. 

Technical Skillset: 

• Web Technologies: J2EE, Servlets, DotNet, Python, HTML5, CSS5, ReactJS, TypeScript, Javascript, Bootstrap, Node.JS, Express JS, JSON, XML 
• Frameworks: Spring Framework, DotNet Core, Flask, Angular OR ReactJS 
• Languages: C#, Java, Python, Scala (Expertise in any 3, familiarity with others)
• Testing Tools: Selenium, Cypress, JMeter, Gatling 
• Databases: MS SQL, PostgreSQL, MySQL, Cassandra, MongoDB, Redis, ElasticSearch 
• Distributed Systems: Apache Spark, Hadoop, or any others 
• Containerization & Orchestration: Docker, DockerHub, Kubernetes 
• Identity Platforms: ADFS, Auth0, Okta 
• Web/ App Servers: Nginx, Apache, JBoss, Tomcat, IIS, Websphere (Anyone or more) 
• Cloud Platforms: AWS, Azure, Google (Anyone or more) 
• Version Control: SVN, CVS, GitHub, GitLab, Bitbucket (Anyone or more) 
• Code Analysis Tools: SonarQube, Veracode 
• CI/ CD Tools: Jenkins, Bitbucket Pipelines 
• Build & Dependency Management: Maven, SBT, YARN, NPM, WebPack 

What you need to have:

• 2+ years experience as a Brand Manager / Category Manager / Marketing Manager or similar experience in a startup also works
• Sales/P&L Management - Any experience in managing top line sales and responsible for achieving top-line numbers
• Marketing - Has managed marketing strategy; worked with cross-functional teams to execute marketing campaigns 
• ECommerce experience - Should have a fair understanding of online/digital sales and marketing - Familiar with managing digital campaigns and online customer journey   
• Strong growth trajectory    

• Improve the look and feel of interactive computers and product software
• Create overall concepts for the user experience within a business webpage or product, ensuring all interactions are intuitive and easy for customers
• Analyze customer responses and website data to determine high traffic web pages and why some perform better than others
• Design the aesthetics to be implemented within a website or product, from the layout menus and drop-down options to colors and fonts
• Build storyboards to conceptualize designs and convey project plans to clients and management
• Account for and track the human-computer interaction (HCI) element of a design
• Create surveys for research through various social media platforms to gather feedback on user's ease of use
• Conduct testing of completed applications, websites and software to Assess user experience

Description:

We are looking for an organized, detail-oriented individual to join our team as a software product manager. The responsibilities of the software project manager include overseeing software projects from start to finish, managing and motivating software developers and other team members, giving customer presentations, and writing project proposals.

To be successful as a software project manager, you should have a good working knowledge of project estimation techniques and the ability to motivate team members. Ultimately, a top-notch software Product manager should have good communication and decision-making skills.

Responsibilities:

1.Discussing potential projects and their parameters with clients, executives, and software developers.

2.Planning out the blueprints for software projects, including defining the scope, allocating resources, setting deadlines, laying out communication strategies, and indicating tests and maintenance.

3.Assembling and leading the project team.

4.Participating in and supervising each stage of the project.

5.Ensuring each project stays on schedule and adheres to the deadlines.

6.Creating a project budget and ensuring the project adheres to the budget as closely as possible.

7.Determining and overseeing consistent testing, evaluation, and troubleshooting of all products in all stages of completion.

8.Tracking milestones, deliverables, and change requests.

9.Serving as a liaison to communicate information regarding changes, milestones reached, and other pertinent information.

10.Delivering completed software products to clients and performing regular checks on the products' performance.

11.Software Project Manager Requirements

12.A bachelor's degree in information technology, software development management, software engineering, computer science, or a related field.

13.Proven experience in project management and software development.

14.Good working knowledge of project estimation techniques.

15.Excellent technical knowledge.

16.Good leadership, decision-making, and organization skills.

17.Strong attention to detail and multi-tasking skills.

Qualification:

1. Minimum ten (10) years of total work experience in software development
2. Good technical proficiency with PHP, Laravel, Javascript technologies and its related framework
3. Strong knowledge on AWS
4. Experience in Data collection, management and analysis
5. Experience in MYSQL/Maria DB
6. Knowledge in SaaS architecture