Sr. Inside Sales/ BD Exec (NA Mkt)

The Logistics Executive is responsible for managing and coordinating end-to-end logistics and shipping operations to ensure timely, cost-effective, and compliant movement of goods. The role involves close coordination with internal teams, freight forwarders, CHA, transporters, vendors, and third-party agencies to support smooth export and import operations.

Key Responsibilities

• Negotiate ocean freight rates with shipping lines and freight forwarders and arrange competitive quotations as per shipment requirements.
• Provide daily freight rate updates to concerned internal departments.
• Book vessels and containers in line with shipment schedules and customer commitments.
• Track and update daily shipment status in Excel/MIS sheets and circulate updates to stakeholders.
• Monitor container lift-on, lift-off, gate-in, gate-out, and stuffing activities to ensure operational accuracy.
• Supervise daily container stuffing and coordinate with operations teams to avoid delays or discrepancies.
• Monitor the movement of export documents and ensure timely submission to CHA, forwarders, banks, and customers.
• Coordinate with CHA, forwarders, transporters, vendors, and internal operations teams for smooth shipment execution.
• Track shipments from origin until final delivery at destination and resolve transit-related issues.
• Handle coordination for third-party agency certifications, inspections, and related documentation.
• Monitor freight, transportation, and logistics invoices and coordinate with Accounts department, CHA, forwarders, and vendors for verification and payment processing.
• Identify, track, and report additional local charges and cost variations to management.
• Follow up with forwarders for release of Delivery Orders (D.O.), container availability, and booking confirmations.
• Handle troubleshooting situations such as delays, rollovers, documentation issues, port congestion, or operational challenges.
• Prepare and maintain daily, weekly, and monthly MIS reports for management review.

Reporting & Documentation

• Conduct periodic reporting of all logistics and shipment-related activities.
• Manage documentation, filing, and record-keeping in compliance with company and regulatory requirements.
• Prepare reports as required by the Reporting Manager, Directors, or Managing Director.

Ad-hoc & Development Activities

• Assist in ad-hoc logistics and operational activities as assigned.
• Develop, review, and update Standard Operating Procedures (SOPs) to improve efficiency and compliance.
• Participate in periodic logistics-related visits and meetings with vendors, CHA, forwarders, and service providers as required for smooth operations.

Skills & Competencies

• Strong knowledge of logistics, shipping, and export/import procedures
• Excellent coordination and communication skills
• Proficiency in MS Excel and MIS reporting
• Good negotiation and cost-control abilities
• Strong problem-solving and troubleshooting skills
• Ability to multitask and work under deadlines

Position:  AEM Developer 

•  Exp : 5 to 7 Yrs
• JD for AEM Developer 
• 
  
• Job Function :

• Experienced Java Developer with knowledge in web framework based development and internet technologies

• Develop digital consumer experiences based on foundation of the Adobe AEM product suite, including AEM, CRX, Target and DAM

• Translate marketing and web site needs into AEM specific recommendations and solutions

• Leverage AEM, other state-of-the-art technologies, and integration patterns to solve cross-departmental challenges

• Design and improve internal development methodologies around Adobe AEM solution

• Deliver a robust self-service environment for the end user community

• Design and code from specifications, analyzes, evaluates, tests, debugs, documents, and implements complex software apps

• Create and integrate content-driven applications on top of AEMs core platform and integrate with E-commerce solutions and search engines

• Work with technology teams to build and maintain web applications using Adobe's Experience Manager CMS to include site architecture, custom components, workflow development, Digital Asset Management (DAM)

• Integrate websites with web analytics tools and analyze/report on analytics data

• Goal oriented and self-motivated

• Candidate must have the ability to work independently or within a team environment

• Strong oral and written communications skills with ability to create software design and engineering documents

• Ability to multi-task and deliver high quality work under tight deadlines is essential

• Ability to work in a fast paced environment is crucial

• Ability to learn, excel and deliver at a quick pace is required

• BS/BA or higher in Computer Science or related field

Qualification :

  5-7 years in Internet related system development for a public-facing internet web site. (Candidate must have prior experience with public-facing/internet web site development)

• Exposure to AEM Sites preferred

• Experience working with CMS platforms, and 5+ years of experience building with Adobe Experience Manager/CQ5

• Experience developing applications, templates, and components for the Adobe AEM product (WCM, DAM, CRX)

• Experience customizing workflows and integration with other enterprise systems

• Demonstrated experience with Java, JavaScript, HTML5, CSS3 and related technologies

• Working knowledge and understanding of the following: Apache Sling, Apache Felix, Apache and App server logs, OSGi, RESTful web services, Javascript, jQuery, AJAX, JSON, HTML, CSS

• Ability to write complex programs, analyze code changes and make suggestions to improve code complexity for maintainability and scalability.

Data Scraping Specialist

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to develop and maintain web scraping tools to build datasets for research and trading
• Contributing to integrate datasets from internal or external providers
• Manage the multiple and extensive dataset used in the QRT research and trading platform
• Monitoring fetching processes and data health
• Supporting users (Quants & Traders)

Your present skillset

• 4+ years’ experience in web scraping
• Advanced English, both written and verbal communication skills
• Polyglot developer, Python coding is important
• Software engineering best practices
• Ability to communicate and understand user needs
• Structured and unstructured data management expertise is a plus
• Knowledge of the financial data of equity/derivatives is a plus
• Intellectual curiosity to learn new technologies
• Capacity to work with autonomy within a global team

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Develops a purchasing strategy.

Reviews and processes purchase orders.

Manages other members of the purchasing team.

Maintains records of goods ordered and received.

Negotiates prices and contracts with suppliers.

Builds and maintains relationships with vendors.

Selects prospective vendors and negotiates contracts.

Evaluates vendors based on quality, timeliness, and price.

Schedules deliveries and ensures timely fulfillment of orders.

Researches and evaluates vendors to compare pricing and services.

Coordinates with fellow managers to monitor inventory and determine supply needs.

Ensures quality of procured items and addresses problems when they arise.

Keeps up with trends in procurement.

Travels to vendor locations.

Stays current with purchasing technology trends and oversees purchase and implementation, as necessary.

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

Responsibilities:

●       Studying, transforming, and converting data science prototypes

●       Deploying models to production

●       Training and retraining models as needed

●       Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores

●       Analyzing the errors of the model and designing strategies to overcome them

●       Identifying differences in data distribution that could affect model performance in real-world situations

●       Performing statistical analysis and using results to improve models

●       Supervising the data acquisition process if more data is needed

●       Defining data augmentation pipelines

●       Defining the pre-processing or feature engineering to be done on a given dataset

●       To extend and enrich existing ML frameworks and libraries

●       Understanding when the findings can be applied to business decisions

●       Documenting machine learning processes

Basic requirements: 

●       4+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production

●       Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas

●       Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc

●       Experience in working with ML frameworks like TensorFlow, Keras, OpenCV

●       Strong written and verbal communications

●       Excellent interpersonal and collaboration skills.

●       Expertise in visualizing and manipulating big datasets

●       Familiarity with Linux

●       Ability to select hardware to run an ML model with the required latency

●       Robust data modelling and data architecture skills.

●       Advanced degree in Computer Science/Math/Statistics or a related discipline.

●       Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)

Nice to have

●       Familiarity with Java, and R code writing.

●       Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

●       Verifying data quality, and/or ensuring it via data cleaning

●       Supervising the data acquisition process if more data is needed

●       Finding available datasets online that could be used for training

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

URGENT OPENING for role of Store Manager

Job Location - Across AP/Telangana

Experience req.- 9 yr. min.

Job responsibilities-

• Timely opening of Store and adherence to all the processes from store opening to closing
• Optimum utilization of manpower & Team Development
• Customer Satisfaction/ Service, Avoid stock outs, which could be reason for loss of sale
• Loss Prevention, Customer Satisfaction & Service
• Pilferage Control
• Asset Maintenance, customer convenience & service
• Team Building, Employee Engagement
• Space Management, Maintain the hygiene, customer service, safety of staff & Customers
• Smooth Store operation entry, exit, parking, smooth flow of customer walk in to exit
• Statutory Compliance
• Safety and security of store Assets & merchandise , people and Property.

Mandatory skills required-

• Leadership skills-Man Management(Mostly Blue Collar and first time employment)
• Analytical skills-Ability to understand the situation and provide the way forward through consultation with seniors
• Good communication skills- Vernal and Non Verbal.
• Coordination skills- 360 degree, team, seniors, cross functional teams, customers, external stakeholders like govt Officials and Police
• Quick & Right Decision Making and basic computer knowledge.

Interested candidates can directly apply.

Click the apply button as soon as possible and grab the opportunity to work with renown name in retail industry.

Best regards !!

Neetu Dhiman ( Talent Acquisition executive)

Roles & Responsibilities:

We are looking for a Client Service Coordinator who will be responsible for list fulfilment driven by client inquiries to determine maximum and targeted audience segmentation:

• Manage, confirm and prioritize incoming order inquiries.  Ensure requests are properly understood and executed.
• Set up and launch count inquiries with complex segmentation.

• Communicate status and query results to the internal Data Axle clients
• Fulfill list order rentals.
• Communicate and coordinate with Client Service team for audit documentation and billing.
• Ability to work under pressure, prioritize, meet organizational deadlines, and multi-task while maintaining quality of work product.

• Technical understanding and thorough attention to the detail of fulfilment processing requirements.
• Problem solving and logical thinking skills.
• Attention to detail and excellent follow through.
• Ability to learn and adapt to changing technologies.
• Ability to work independently or as part of a team.
• Generate reports as requested.

Qualifications:

• Graduation degree or equivalent.
• 1 to 3 years of direct marketing experience.
• Ability to communicate with individuals at all levels in the company in an articulate, professional manner.
• Ability to effectively handle multiple priorities while maintaining integrity of work.
• Excellent customer service and communication skills.
• Knowledge of MS Office and Internet technologies.
• Demonstrated skills in problem resolution.