Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with 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 knowledge 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 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.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company 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 modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● 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.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Shubham Vishwakarma
Full Stack Developer - Averlon
About xpressbees
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Job Title: Performance Marketing Executive
Department: Digital Marketing
Location: Andheri East, Mumbai
Experience: 3 to 4 years in Performance
Employment Type: Full-time
About Us: We’re a fast-growing branding and marketing agency that works with emerging businesses and established brands alike. Our work goes beyond ads - we shape identities, build recall, and create campaigns that are as strategic as they are creative. To scale smarter and drive measurable impact, we’re looking for a Performance Marketing Executive who knows their way around paid media like the back of their hand.
Role Overview: As a Performance Marketing Executive, you will be responsible for planning, executing, optimizing, and reporting on paid campaigns across digital platforms. You’ll work closely with creative teams, strategists, and account managers to translate campaign goals into high-performing ads — all while keeping performance data front and center.
Key Responsibilities:
● Campaign Management:
○ Plan and execute performance marketing campaigns across Meta (Facebook/Instagram), Google Ads (Search, Display, YouTube), LinkedIn, and other relevant channels for various clients.
○ Ensure campaigns are aligned with broader brand and marketing goals for each client.
○ Manage budgets across platforms, maximising ROI and maintaining CPA/ROAS goals.
● Performance Analysis & Optimisation:
○ Track and analyse campaign performance using Google Analytics, platform dashboards, and internal tools.
○ Continuously test and optimize creatives, copies, targeting, and bid strategies.
○ Generate insightful performance reports with actionable next steps.
● Collaboration & Strategy:
○ Work closely with content, creative, and branding teams to develop compelling ad creatives and copies.
○ Collaborate with account managers and strategists to build full-funnel performance marketing plans tailored to client objectives.
● Keyword & Audience Research:
○ Conduct in-depth keyword research for SEM campaigns. ○ Define and refine target audience segments for better ad targeting and relevance.
● A/B Testing & Innovation:
○ Run structured A/B tests across platforms to improve CTR, conversion rates, and overall campaign performance.
○ Stay up-to-date with platform changes and emerging digital marketing trends.
Required Skills & Qualifications:
● 3 to 4 years of hands-on experience in performance marketing and paid media.
● Proficiency in Meta Ads Manager, Google Ads, LinkedIn Ads, and Google Analytics (GA4 preferred).
● Solid understanding of conversion tracking, pixel setup, UTM parameters, and basic funnel tracking.
● Strong Excel/Google Sheets skills for budget planning and reporting.
● Working knowledge of SEO and organic content strategy.
● Certification in Google Ads / Meta Blueprint.
● A data-first mindset with creative instincts.
Who You Are:
● You think in click-through rates and live for campaign dashboards.
● You understand the delicate balance between creative storytelling and conversion-driven content.
● You're not afraid to ask questions, test wild ideas, and push for better performance.
● You have an ROI driven approach.
● You enjoy working in a fast-paced, creative environment where no two campaigns look the same.
Selection Process:
Round 1: Telephonic Interview
Round 2: Technical Test + Personal Interview
Working Hrs.: 10.00 a.m. to 7.00 p.m. [Monday - Friday and Alternate Saturdays]
If anyone interested then apply through link: https://tiny.cc/NGtalent
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Sandeep
Wednesday Solutions is seeking a skilled and self-driven B2B Copywriter to join our dynamic team. This role is ideal for someone who thrives on converting ideas into impactful content that educates, engages, and drives results. You'll work closely with key personnel to capture the essence of what we do transform it into high-quality marketing assets.
Key Responsibilities:
- Content CreationWrite e-books that showcase expertise and thought leadership in our domain.
- Develop Email Education Courses (EEC) to nurture leads and provide actionable insights.
- Produce a weekly newsletter that informs, educates, and connects with our audience.
- Write social media posts that drive traffic and amplify engagement.
- Write compelling scripts for videos that captivate viewers and drive traffic.
- Workshops and CollaborationConduct workshops with key personnel to extract insights and data.
- Identify the tone of the brand voice to maintain consistency across all content.
- Translate discussions and ideas into polished content artifacts.
- Strategic ExecutionTake ownership of content projects from ideation to delivery, ensuring timely and high-quality outputs.
- Collaborate with cross-functional teams to align content with marketing objectives.
- Continuously refine content strategies to improve engagement and outcomes.
Outcomes Expected:
High-Quality Deliverables:
- Publish e-books.
- Launch Email Education Courses that educate and nurture the audience effectively.
- Distribute an engaging and informative weekly newsletter.
- Develop social media content that drives measurable traffic to key platforms.
- Craft impactful video scripts to boost engagement and brand awareness.
Effective Collaboration:
- Successfully conduct workshops to gather meaningful insights and align with stakeholders.
- Clearly define and adhere to the brand’s tone of voice in all outputs.
Autonomy and Accountability:
- Work independently, with minimal handholding, and deliver content that meets or exceeds expectations.
- Take ownership of deadlines and quality, demonstrating a strong sense of accountability.
Required Skills and Experience
- Proven Writing Expertise: Demonstrated ability to craft engaging and impactful B2B content across formats.
- Workshop Facilitation: Experience conducting interviews, workshops, or collaborative sessions with stakeholders.
- Self-Driven: Highly motivated, able to manage multiple projects with minimal supervision.
- Strategic Thinking: Ability to align content creation with broader marketing goals.
- Attention to Detail: A meticulous approach to maintaining consistency and quality across all deliverables.
- Digital Savvy: Understanding of content distribution strategies for email, social media, and digital platforms.
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● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
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● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.
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Skills:
- Solid understanding of pedagogy, instructional analysis, and experience meeting milestones.
- Significant experience in managing and facilitating learning and development programs in areas of Organisational/ Managerial and Leadership development, Performance Development, Culture & Values, Organisational design, Knowledge Management
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- Experience with curriculum development applications such as Camtasia, Articulate 360, or Captivate.
- Quick Learner with a flair to pick up skills rapidly (Self Starter)
- Proactive, well organized and a thorough planner
- Growth mindset and ability to receive feedback on content with an open mind and willingness to work out of one's comfort zone
- Ability to manage multiple simultaneous projects on different timelines
Key Requirements:
- Master’s degree or MBA in a relevant field such as business, operations, human resources, adult education, organizational development, or instructional design.
- 3+ years experience in Learning and Development (e.g., supporting or leading learning programs, story-boarding, building training content, training facilitation, bridging gaps in knowledge effectively, evaluating programs, and measuring success).
- Preference for experienced candidates having worked on projects around program, or product management with a focus on education programs, course content, instructional design, or curriculum creation.
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- Package of 15-18 Lacs depending on Experience.
- Be part of the digital nomad scheme where you are eligible for month-long fully sponsored domestic and international trips(3-4 times a year).
- Mentorship sessions by our expert base and founding team.
- Amazing networking opportunity with top mentors and leaders on our platform.
- Recommendation letter
- Learn the ins and out of the startup ecosystem by working in a global Singapore-based startup
- Have a real impact on your work :)
- Managing the recruitment and selection process
- Supporting current and future business needs through the development, engagement, motivation and preservation of human capital
- Developing and monitoring overall HR strategies, systems, tactics and procedures across the organization
- Overseeing and managing a performance appraisal system that drives high performance
- Contributing in developing an employment branding strategy through propagating organization’s business, vision, mission, values and culture
- Ensuring that the people and management practices support the organization’s employer brand
- Working on Matrices to track quality of hire, brand awareness, employee satisfaction, employee referrals or others , as required.
What you need to have:
- Experience working with startups or established organisations
- Experience in handling culture issues and creating a good working culture across levels
- Must have handled at least 50 to 100 employees
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React NativeSENIOR ENGINEER - FRONT END
Experience in years: 3+. Less than 7.
Type: Individual contributor with good hands on proficiency.
Specifics:
- Writing HTML, CSS, and JavaScript. Being up on latest practices is a must, e.g., HTML5, CSS3, and ECMAScript 6 (minimum)
- Familiarity with a relevant and globally supported framework— both front-end and back-end, if necessary — React & React Native.
- Ideally, familiarity with CSS preprocessors, bundlers, and associated languages/syntaxes/libraries - Sass, Less, webpack
- Experience implementing testing platforms and unit tests
- Integrating front-end UI with the constructed API, using REST, GraphQL api
Soft skills:
- Appreciation for clean and well documented code
What you will do at Tradyl
- Partner with a highly skilled external consultancy and lead the effort of building a new modern front end to our website.
- We use a no code platform for rapid development in this phase of our Journey. You will develop features on this platform. This might involve integration with back end APIs via REST.
- Do short experiments: Example, Evaluate a backend headless commerce software as a potential candidate for our backend tech stack.
HTML/CSSWhat you'll be doing :
-
You'll be creating the best-in-class mobile designs for users on the Android platform, including visual & motion graphics, flash animation to explain the concepts.
-
Asset creations, icon design, for the final deliverable for the release of the phone.
-
You'll be continuously keeping an eye on the latest user interactive designs and leveraging those in one's own and the team's work as necessary.
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Create a look consistent with all of Indus OS while pleasing our users.
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Present the user interface visually so information is easy to read, easy to understand and easy to find.
Your Profile :
-
Candidate with 4+ years experience.
-
B.des, M.des from IIT(IDC) /NID/ Symbiosis/ MIT/ other design colleges.
-
Creative and imaginative-, loves to explore.
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Ability to translate a concept into a visual form that explains the concept and able to give justification for each design decision.
-
Strong penchant towards all things technology
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Comfortable presenting ideas and designs
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Capable of working within deadlines in a fast-paced environment, often on multiple projects
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Exceptional understanding of the graphic and the functional aspects of design and the ability to execute both
-
A strong and creative portfolio with varied projects (this is important to evaluate the capabilities of interested candidates)
-
Proficient with Adobe design software (Photoshop, Illustrator, Dreamweaver, Flash)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon