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Job Description:
To ensure correct accounting of revenue. Manage end to end order to cash accounting
including but not limited to billing and accounting treatment of revenues, customer
master data, collections accounting, bad debt provisioning, debtor ageing.
Reconciliation of collections with the revenue master data and identifying exceptions
therein for the resolutions after discussions with ops teams;
Strong reconciliation abilities and extraction of data from various files for finalization of
revenue;
Posting sales entries in the Accounting system to ensure all are captured and
appropriately recognized for reporting;
Perform periodical Balance sheet reconciliation of control accounts, bank accounts and
all asset /debtor accounts;
Liaison with other Finance team members to ensure the integrity of accounts;
Ensure all collected payments are presented for posting within collection deadlines;
Debtors ageing and follow ups with the clients for timely collections;
Keeping a track of cash inflow and revenue projections.
Ensure closure of operational/month-end activities including data inputs for the MIS
preparation within strict timeframes;
Liasioning with the banks for the cash management and reconciliations on timely basis;
Accounting of all the bank transactions on a daily basis for reconciliation of accounts and
investments made by the company.
Education:
- Semi-Qualified CA/ MBA/ M.Com with atleast 3-4 years of experience (excluding training period) working in receivables department of a company (e-commerce company preferably); B.Com with 5-7 year experience.
- Proficient in Tally accounting and cost centre accounting;
- Must be strong in MS Office (Including MS Word, Excel with advanced skills);
- Quick learner and ability to deliver on time.


About the Role
We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.
Responsibilities
• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.
• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.
• Fine-tune pre-trained models and develop custom models based on specific business needs.
• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.
• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.
• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.
• Ensure scalability and performance of deployed AI solutions within the full application stack.
• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.
• Design and implement APIs or services that expose machine learning models to frontend or other systems
• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.
• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.
• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.
• Document processes, methodologies, and results for future reference and reproducibility.
Required Skills & Qualifications
• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.
• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.
• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.
• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.
• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.
• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.
• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.
• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.
• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.
• Understanding of system design and software architecture for integrating AI into production environments.
• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).
• Demonstrated projects where AI models were part of deployed user-facing applications.
• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.
• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.
Nice to Have
• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.
• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.
• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).
• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.
• Solid understanding of statistics and probability.
• Experience working in Agile development environments.
What You'll Gain
• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.
• Collaborate with a diverse, highly skilled team in a fast-paced environment.
• Opportunity to work on impactful projects with real-world applications.
• Competitive salary and career growth opportunities
Who You you are?
- A Detail-Oriented Design Expert | You are well-versed in all aspects of design and take great pride in the finer points of delivering truly exceptional design.
- Innately Curious | You’re excited about visual storytelling and delivering experiences that go beyond just solving a client’s problems, and are innately interested in human motivations, behaviors and desires. You like following the solution through all stages of the process so that the integrity, consistency, and essence of the experience is delivered with precision.
- Influencer & Communicator | You can educate, convince, and lead projects, inspiring both clients and junior members of the design team. You have a demonstrated ability to synthesize and present your work to clients and internal audiences of all backgrounds. You have excellent written, verbal, and interpersonal communications skills required to make the complex feel and sound easy yet captivating.
- Confident | You have confidence in your concept, in your work and thus in presenting ideas and designs to internal teams, external stakeholders and clients.
What you have:
- Experience | 3-7 years of experience in an agency or design studio,
- Body of Work | Portfolio featuring a wide range of creative work that displays mastery of your skills, ideas and execution. Expertise in the formal elements of visual design, including typography, color, layout, balance, proportion, rhythm, emphasis, and unity.
- Proficiency in Adobe Creative Cloud and MS Office. UI/UX experience is a bonus.
- Proven design-led conceptual and campaign experience; demonstrated success working on integrated campaigns that include digital, social, and/or emerging media.
- Experience working across multiple parallel work streams and within a flexible and agile environment.
- Ability to assess work, delegate tasks, hire resources and manage the team output effectively.
The Client Support Intern will be responsible for assisting clients and providing support with their technical needs, answering client inquiries via email and phone, and resolving client complaints in a timely manner. As a hybrid role, this internship position will be located in Dubai but some work from home is acceptable.
JOB DESCRIPTION:
I - Experts is hiring for the position of Customer Support Executive who is having experience in International Calling and also in Lead Generation.
Responsibilities:
• Calling handling from customer and resolving the issues.
• Reporting the team lead.
• Supporting the query and do the needful.
• International Calling Experience
• Good experience in Lead generation
• Proactive work to be done
Criteria:
• Any Graduate with Good communication & Excellent English Fluency.(Freshers can also apply)
• 10+2 Educated candidates can also apply.
• Experience with 1 year in International Voice will be add on.
• Candidates who have experience in international BPO in inbound or outbound process is eligible.
Company Website:www.I-experts.webs.com
Timings: 7: 30 am to 3 pm
Week Off: Sunday will be fixed off( Saturday working from 7: 30 am to 1:30 pm)
Benefit: Great Incentives
Shift: Morning Shift
Address:H-30 Second Floor, Near Sai Baba Mandir, Opp Metro Pillar 33- 34, Laxmi Nagar, Delhi 110092
What you will do:
- Producing concepts for layouts and developing these concepts based on feedback given
- Executing visual design stages from concept to final hand-off to engineers
- Finishing designs to a highly detailed, professional-level (p.s. keeping the design system guidelines intact)
- Creating wireframes when required (complete with annotation) for developers to implement
- Working with developers to communicate specs, ensuring correct implementation and working through any problems encountered
- Designing web, mobile and tablet friendly applications
Desired Candidate Profile
What you must have:- 3-5yrs of experience and proven track record
- Strong portfolio to be presented and defended during the interview
- Experience using tools such as Photoshop, Sketch, Illustrator, InVision, Figma
- A proactive mindset with ability to communicate designs and new ideas in a logical and pragmatic manner
- A good listener and facilitator who knows how to facilitate constructive design discussions
- Open mind for criticism and harsh feedback as and when required
- Understanding of basic front-end languages like HTML5, CSS3 will be a plus (not a requirement)
- Experience working in agile teams, with developers and Product Managers

- Strong knowledge of .NET web frameworkwith .Net 3.5/4.0 Version.
- Experience on web-based projects using NET, C# and MS-SQL Server, JavaScript.
- Strong understanding of object-oriented programming.
- Skill for writing reusable libraries.
- Familiar with various design and architectural patterns.
- Knowledge of concurrency patterns.
- Familiarity with Microsoft SQL Server.
- Experience with popular web application frameworks.
- Familiarity with Windows Presentation Framework.
- Knack for writing clean, readable, and easily maintainable code.
- Understanding of fundamental design principles for building a scalable application
- Experience creating database schemas that represent and support business processes.

- Convert design to Angular 5 components.
- Must have good experience in UI Developer + Angular.
- In-hand experience on UI Developer, Discovery, Angular, Brand and platform exploration, Styleguide, Proof of concept, Design production, Usability testing.
- Use SCSS as the CSS macroprocessor.
- Integrate the Angular services with APIs from the backend team.
- Test your screens using a tool for all browsers and resolution compatibility.
- Handle and track tasks assigned using Agile methodology.
- Strong commitment towards quality and schedule.
- Cross team coordination.
- Implement UI development best practices to write optimized and non-buggy code.
- Work in Agile environment with sprint releases ranging from 2 to 4 weeks.
- Feasibility study of requirement and suggest multiple approaches for a problem after sufficient RnD.
- Keep abreast with trending recent UI tools, technologies, plugins and software in the industry.
- Roll-up your sleeves attitude to get things done.



Octro Inc. is looking for a Data Scientist who will support the product, leadership and marketing teams with insights gained from analyzing multiple sources of data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights.
They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities :
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from multiple databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modelling to increase and optimize user experiences, revenue generation, ad targeting and other business outcomes.
- Develop various A/B testing frameworks and test model qualities.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications :
- Strong problem solving skills with an emphasis on product development and improvement.
- Advanced knowledge of SQL and its use in data gathering/cleaning.
- Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.


• Developing and maintaining relationships with a robust customer base of the world’s top companies in mobile advertising.
• Strategizing with customers for deeper utilization of, and success with, the Trackier's service.
• Owning/managing your book of business & building strategies to trigger and drive business growth opportunities.
• Engaging and coordinating internal groups as well as partners, as needed, to meet revenue targets & to maximize customer retention and adoption.
• Coordinating onboarding, training, quarterly/annual business reviews and serve as a liaison with customers regarding new product launches & opportunities.
• Maintaining current knowledge of the Mobile industry, competitive research and an understanding of the customer's business challenges and industry trends.
• You are the key to strategic relationship management with our most important customers.
Requirements
• Knowledge of, or experience with performance-based, mobile advertising campaigns.
• Experience working with data-driven sales strategy, managing up-selling/cross-selling opportunities & working with revenue targets.
• Extraordinary interpersonal communication and presentation skills.
• Outgoing, positive, and energetic personality - this role requires our customers to like you, a lot. • Solid customer service experience and a consultative mindset.
• Ability to pick-up, learn and quickly become knowledgeable in SaaS tech concepts.
• Motivated self-starter, always one step ahead.
• Experience working in a scrappy startup type environment.
• Ability to work trade shows and conferences with the potential to travel.
• Bachelor's degree or MBA preferred.