
Position –Business Analyst.
Location – Mumbai Andheri
Time – 1 pm to 10 pm
Experience – 7+ Years
Job description
- Gathering business and functional requirements.
- Developing requirements documents: goal model, functional modelling, business process, customer interactions/wireframes; writing high-level user requirements (Epics and User Stories) and Process flows/analysis in JIRA
- Preparing use cases and formal requirements documentation.
- Analyzing and simplifying the requirement scenarios and be able to write prerequisites, Acceptance Criteria. Work closely with the business and technology to gather & write end to end business testing requirements and acceptance criteria.
- Ensuring that releases are getting completed as per timeline and quality by working closely with the product delivery team and keeping daily track of progress.
- Coordinate UAT activities prior to new product releases and client onboarding events including tracking of defects and progress of resolution.
- Escalation of issues in a timely manner.
- Ensure adherence to audit, SLA and operational standards.
- Demonstrations of new functionality to business and technology users.
- Work closely with the support team to ensure timely knowledge transfer.
- Providing analysis and support for the project management, application development, and QA teams throughout the development lifecycle.
- Acting as a liaison between the technology department and other business units.
- Working on RFI or RFP proposals. Participating in process studies or pre-sales process of responding to RFI, RFP, and proposals.
- Leading business and technical analysis sessions to support new development efforts to meet current and projected business needs.
- Quickly understanding the business issues and data challenges of client’s organization and industry.
- Providing expertise on the system's capabilities/limitations as it relates to business goals.
- Preparing impact and opportunity assessments regarding the cost/benefit of proposed projects.
- Aligning stakeholders on business requirements, system requirements, program functions, and strategy.
Requirements
- Domain experience must include 4+ years of experience in the US property and casualty insurance.
- Good understanding and exposure to policy forms or insurance documents.
- Ability to coordinate with other business analysts and follow the direction of BA manager or the project lead BA.
- Ability to work with offshore teams located across time zones.
- Ability to work with QA team and define testing strategies.
- Ability to work independently.
- Proficient with tools like Jira, Confluence, Wiki, MS-Word, Excel, and Visio, etc.
- Have a good experience of the Agile Process (SCRUM)
- Can validate, refine, and optimize solution option models, through analysis of options, can select the option with the greatest business benefit bearing in mind the customer's & product objectives.
- Shows a good understanding of the domain and visualize new features and requirements from industry best practice and document them for technical implementation.
- Demonstrates active listening and values others input/expertise, diversity of views/opinions and responds appropriately.

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Job Title : Sr. Data Scientist
Experience : 5+ Years
Location : Noida (Hybrid – 3 Days in Office)
Shift Timing : 2 PM to 11 PM
Availability : Immediate
Job Description :
We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.
The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.
Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.
Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.
Position: Chief Executive Officer (CEO)- Garment Export
Location: Noida
Experience: 10+ year in Garment export and buying agency
Salary: Negotiable
Industry: Fashion/ Apparel/ Garments
The CEO will be responsible for the overall strategic direction, operational efficiency, and growth of the company. The ideal candidate will have a deep understanding of the fashion export manufacturing sector, with significant experience in managing factories, working with buying houses, and overseeing end-to-end production processes. As the CEO, you will collaborate with the executive team, manage key relationships with international clients and stakeholders, and lead the organization towards achieving its business goals.
Key Responsibilities:
Leadership and Strategy:
· Lead the company in setting and executing long-term strategies to ensure growth and profitability.
· Develop and communicate a clear vision for the future of the company, aligning it with the evolving needs of the global fashion industry.
· Act as the primary spokesperson for the company, representing it at key industry events, meetings with stakeholders, and in public communications.
Operations and Manufacturing Management:
· Oversee day-to-day operations, including managing production schedules, ensuring quality standards, and optimizing manufacturing processes in multiple factories.
· Ensure efficient production workflows, cost management, and on-time delivery of products.
· Monitor and manage relationships with key factory partners, vendors, and third-party suppliers to ensure best-in-class manufacturing capabilities.
Financial Oversight:
· Develop and manage budgets, forecasts, and financial reports to ensure the financial health of the company.
· Oversee financial performance and make data-driven decisions to optimize revenue generation, cost savings, and profit margins.
Business Development and Client Relations:
· Cultivate and maintain relationships with international clients, including fashion brands, retail buyers, and buying houses.
· Identify and pursue new business opportunities in global markets to expand the companys client base and product offerings.
· Lead negotiations and ensure contracts with international buyers, suppliers, and partners are beneficial and aligned with company objectives.
Supply Chain and Logistics Management:
· Manage the global supply chain, ensuring that production and delivery timelines are met while maintaining cost efficiency.
· Develop and implement strategies to streamline logistics and reduce lead times while maintaining product quality.
Team Leadership and Organizational Development:
· Build and nurture a high-performing executive leadership team to execute the companys strategy and drive results.
· Foster a company culture of innovation, collaboration, and continuous improvement.
· Provide mentorship and guidance to senior management and employees to support their growth and professional development.
Mail updated resume with current salary-
Emil: jobs[at]glansolutions[dot]com
satish: 8851O 18162
Website: www.glansolutions.com
Click for more jobs- https://glansolutions.com/jobs.php
Google search: Glan Management Consultancy

About Cube
Cube is an early-stage Sequoia-funded startup. We are building a SAAS application leveraging the latest generative AI tech. Our team is from Stanford and IITs with extensive experience in AI and startup building.
Website: https://www.cubehq.ai/
Job Description
If you are a CMS Developer with 2-4 years of experience looking to make an impact in a growing startup, we would love to hear from you!
Responsibilities
- Build and Maintain CMS Websites: Create, manage, and optimize websites using WordPress, Shopify, and Squarespace.
- Theme-Level Customization: Modify existing themes and develop custom components tailored to our needs.
- Collaborate Cross-Functionally: Work closely with our design and content teams to translate vision into polished, functional websites.
- Implement Speed & SEO Best Practices: Ensure fast-loading, SEO-optimized pages using modern plugins and development techniques.
- Handle CMS-Specific Features: Utilize metafields (Shopify), custom fields (WordPress), and similar tools to manage structured data effectively.
- Troubleshooting & Support: Diagnose issues and deliver reliable fixes to ensure high availability and responsiveness.
- Stay Current: Keep up with the latest in CMS and frontend development trends, tools, and standards.
Requirements
- Solid experience with WordPress (PHP), Shopify (Liquid), and Squarespace.
- Hands-on understanding of theme-level development and customization.
- Strong knowledge of HTML, CSS, JavaScript, jQuery, PHP, Liquid, and JSON.
- Familiarity with WordPress custom fields and Shopify metafields.
- Understanding of WooCommerce Template structure and customization
- Experience with SEO tools and plugins, and performance optimization strategies.
- Proficient with page builders like Elementor or WP Bakery.
- Familiarity with tools like Google Analytics, Hotjar, or similar.
- A collaborative attitude and excellent problem-solving skills.
Location: HSR Layout, Bangalore (US Hours)


Job Description:
At Helios Tech Labs we are looking for a Full Stack Developer with <2 - 5 yr Exp> to build and maintain functional websites and applications with highly skilled computer programmer who is comfortable with both front and back end programming.
To be successful in this role, you should have extensive experience building web-apps from scratch and in-depth knowledge of at least one of the following programming languages:
- JavaScript
- Java
- HTML
- CSS
- React
- Angular
- Objective C
- Scala
- Python
- C#
- C++
- PHP
- Perl
- Node JS
- Ruby (RoR)
Responsibilities:
- Identify user and system requirements for new websites and applications
- Designing user interactions on web pages.
- Developing back-end website applications.
- Creating servers and databases for functionality.
- Ensuring cross-platform optimization for mobile phones.
- Ensuring responsiveness of applications.
- Seeing through a project from conception to finished product.
- Meeting both technical and consumer needs.
- Staying abreast of developments in web applications and programming languages.
- Prioritize software development projects, set timelines, and assign tasks to team members.
- Write or review code for various applications.
- Run functionality testings and debug code.
- Oversee junior web developers and evaluate their performance.
- Liaise with designers to decide on UI/UX elements (like graphics and navigation buttons).
Q2 is seeking a team-focused Lead Release Engineer with a passion for managing releases to ensure we release quality software developed using Agile Scrum methodology. Working within the Development team, the Release Manager will work in a fast-paced environment with Development, Test Engineering, IT, Product Management, Design, Implementations, Support and other internal teams to drive efficiencies, transparency, quality and predictability in our software delivery pipeline.
RESPONSIBILITIES:
- Provide leadership on cross-functional development focused software release process.
- Management of the product release cycle to new and existing clients including the build release process and any hotfix releases
- Support end-to-end process for production issue resolution including impact analysis of the issue, identifying the client impacts, tracking the fix through dev/testing and deploying the fix in various production branches.
- Work with engineering team to understand impacts of branches and code merges.
- Identify, communicate, and mitigate release delivery risks.
- Measure and monitor progress to ensure product features are delivered on time.
- Lead recurring release reporting/status meetings to include discussion around release scope, risks and challenges.
- Responsible for planning, monitoring, executing, and implementing the software release strategy.
- Establish completeness criteria for release of successfully tested software component and their dependencies to gate the delivery of releases to Implementation groups
- Serve as a liaison between business units to guarantee smooth and timely delivery of software packages to our Implementations and Support teams
- Create and analyze operational trends and data used for decision making, root cause analysis and performance measurement.
- Build partnerships, work collaboratively, and communicate effectively to achieve shared objectives.
- Make Improvements to processes to improve the experience and delivery for internal and external customers.
- Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to.
EXPERIENCE AND KNOWLEDGE:
- Bachelor’s degree in Computer Science, or related field or equivalent experience.
- Minimum 4 years related experience in product release management role.
- Excellent understanding of software delivery lifecycle.
- Technical Background with experience in common Scrum and Agile practices preferred.
- Deep knowledge of software development processes, CI/CD pipelines and Agile Methodology
- Experience with tools like Jenkins, Bitbucket, Jira and Confluence.
- Familiarity with enterprise software deployment architecture and methodologies.
- Proven ability in building effective partnership with diverse groups in multiple locations/environments
- Ability to convey technical concepts to business-oriented teams.
- Capable of assessing and communicating risks and mitigations while managing ambiguity.
- Experience managing customer and internal expectations while understanding the organizational and customer impact.
- Strong organizational, process, leadership, and collaboration skills.
- Strong verbal, written, and interpersonal skills.
• PMP Certified
• 10 – 15 years relevant experience in Project Management, preferably with Shared Service experience (ie Operations, Migrations, Transformations, Continuous Improvement) of IT
• Excellent communication skills, both oral and written with strong relational skills (English)
• Strong Senior Stakeholder management and ability to influence positively in decision making. Strong Business acumen
• Team Leadership skills (Inclusion)
• Drive for Results/ Problem Solving
• Conceptual and analytic skills
• Must have managed large projects/programs complex in nature with a leadership experience at a global level


DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
Responsibility :
- Responsible for design, development, deployment and maintenance of our applications and its various modules.
- Work closely with Product, UX, and QA teams to deliver the product.
- Ability to own several modules of the application.
Skills required :
- Ability to understand a problem and write good quality code to solve it
- Very strong skills in JavaScript, Node.js
- Candidates should have worked on Single Page Application based applications (Angular.js or React.js)
- Working knowledge of Databases like MySQL, MongoDB etc
- Understanding of data structures and algorithms
- Ability to design products independently
- Ability to take complete ownership of his/her tasks
- Working knowledge of at least one of SVN/GIT or a similar version control system
- Ability to quickly learn and pick up new technologies
- Understanding on website scalability and performance
Good to Have :
- Experience with front end technologies like PWA, Service Worker will be a plus
- Knowledge of unit testing theory
- Product start up experience




DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.

