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- Smart & quick learners.
- Min 12th Pass
- Excellent communication skills
- Proficient in computer operation
- Age between 18-22 years
ZenTrades AI is looking for a high-ownership Talent Acquisition Partner to own end-to-end hiring as we scale our teams. This is a core business role, not a support function. You will work closely with leadership and hiring managers to build strong, high-performing teams in a fast-growing SaaS environment.
This role is ideal for someone who has scaled teams in startups before, understands the pace and ambiguity of growth, and enjoys building hiring processes that actually work.
What You’ll Own
Own end-to-end recruitment across tech and non-tech roles
Partner with business leaders on hiring plans, role design, and talent strategy
Build and manage talent pipelines through proactive sourcing, referrals, and networks
Drive a strong candidate experience aligned with our culture
Continuously improve interview frameworks, hiring processes, and TA metrics
Act as a trusted hiring partner to stakeholders
What We’re Looking For
3–6 years of Talent Acquisition experience in startups / high-growth SaaS companies
Proven track record of scaling teams in fast-paced environments
Ability to own hiring independently with minimal hand-holding
Strong stakeholder management and communication skills
Comfort working in ambiguity, speed, and changing priorities
What This Is NOT
A coordination-only or sourcing-only role
A role with narrow scope or limited ownership
Why Join Clara AI
Opportunity to own hiring impact at scale
Work closely with leadership and key business teams
Build and evolve hiring processes and talent strategy
Clear growth path into TA Lead / People Partner roles
Who Will Thrive Here
Recruiters who have built and scaled teams in startups
People who think business-first, not process-first
Individuals who take ownership of outcomes, not just activities
Java
Amazon Web Services (AWS)- Develop, and maintain Java applications using Core Java, Spring framework, JDBC, and threading concepts.
- Strong understanding of the Spring framework and its various modules.
- Experience with JDBC for database connectivity and manipulation
- Utilize database management systems to store and retrieve data efficiently.
- Proficiency in Core Java8 and thorough understanding of threading concepts and concurrent programming.
- Experience in in working with relational and nosql databases.
- Basic understanding of cloud platforms such as Azure and GCP and gain experience on DevOps practices is added advantage.
- Knowledge of containerization technologies (e.g., Docker, Kubernetes)
- Perform debugging and troubleshooting of applications using log analysis techniques.
- Understand multi-service flow and integration between components.
- Handle large-scale data processing tasks efficiently and effectively.
- Hands on experience using Spark is an added advantage.
- Good problem-solving and analytical abilities.
- Collaborate with cross-functional teams to identify and solve complex technical problems.
- Knowledge of Agile methodologies such as Scrum or Kanban
- Stay updated with the latest technologies and industry trends to improve development processes continuously and methodologies.
- 8+ years of Data Engineering experience
- Strong SQL and Redshift experience
- CI/CD and orchestration experience using Bitbucket, Jenkins and Control-M
- Reporting experience preferably Tableau
- Location – Pune, Hyderabad, Bengaluru
Job Description: We are looking for a skilled Content Strategist with at least 3 years of experience to join our team. You will be in charge of creating and implementing a content strategy that is in line with our overarching marketing and business goals in your capacity as a content strategist. In order to produce interesting, pertinent, and valuable content that appeals to our target audience, you will closely collaborate with our marketing, design, and product teams.
Roles and Responsibilities:
• Develop engagement strategies and content calendars for official online communities/groups on platforms like Instagram, Facebook, Twitter & more
• Conduct research to understand our target audience and their needs, and develop buyer personas and content maps to guide content creation
• Drive partnerships & collaboration with relevant online communities, superusers & social media influencers
• Work with product, creative, content & brand partnerships teams to develop member messaging for new campaigns, features, and product launches
• Create a social engagement playbook/guideline for community moderators and ensure that content is published on schedule
• Write and edit high-quality, engaging, and informative content for a variety of channels (social media posts, blogs, newsletters etc.)
• Track & report trending topics and sentiment & feedback among the member community across all channels (social media, reviews, support, etc.)
• Formulate customer delight moments
• Use data and analytics to measure the success of our content, and make data-driven decisions to improve content performance
• Stay up-to-date with industry trends and best practices in content marketing and SEM, and make recommendations for continuous improvement
• Responsible for developing a sense of community amongst the Client creator base
• Ensure all Client creators are benefiting from the community
• Develop non-product solutions that will enable retention and increase customer satisfaction
• Develop partnerships that will help in creator retention
• Contribute to the development of our overall marketing and business strategies, and provide insights and recommendations based on your expertise in content marketing
Requirements:
• Graduate with at least 3 years of experience in social media marketing, community engagement, content marketing, content strategy, or a related field
• Bachelor's degree in marketing, communications, journalism, or a related field would be a plus
• Active and engaged participant in social media
• Excellent writing, editing, and proofreading skills, with a keen eye for detail
• Strong communication and presentation skills to communicate the message effectively
• Strong interpersonal skills and ability to build relationships with cross-functional stakeholders
• Highly organized, detail-oriented, and able to manage/execute multiple ongoing projects
• Familiarity with content management systems (CMS) and email marketing platforms
• Proficiency in SEM best practices and the ability to optimize content for search engines
• Proficient knowledge of Data Analytics and strong analytical skills, with the ability to analyze data and use insights to improve content performance
• A passion for content marketing and a desire to stay up-to-date with the latest trends and best practices
• Ability to identify and track relevant community KPIs
• Good network among influencers
We offer competitive salaries, a collaborative work environment, and opportunities for growth and development. If you are passionate about creating exceptional user experiences and meet the requirements above, we encourage you to apply!
1. Respond to customer queries in a timely and accurate way, via phone, email, or escalate unresolved issues to the appropriate internal teams
2. Take ownership of customer issues and ensure prompt resolution
3. Maintain customer records by updating all relevant information in the database
4. Meet personal/team qualitative and quantitative targets
5. Providing complete information about the product to the customer.
6. Solving all product or service-related issues of the customers.
7. Keeping a proper record of the customers.
8. Maintaining and updating the information of the customers regularly.
9 . Maintaining a pleasant working environment for your team.
10 . Creating policies and procedures.
11. Conducting quality assurance surveys with customers and providing feedback to the staff.
About the company:
Our client is a start-up organization founded in 2014 by experienced professionals and is now in its 22nd year of serving global customers after merging with 4Cplus. They specialise in Management Consulting, Technology Services, and Business Transformation Outsourcing, committed to providing their customers with exceptional experiences.
Location: Mumbai, Pune
About the role:
Responsibilities:
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions within the SAP landscape.
- Lead and actively participate in at least 4 end-to-end implementation projects and provide expertise throughout the project lifecycle.
- Provide support for multiple SAP projects, ensuring the highest level of system availability and performance.
- Install, configure, and upgrade SAP systems, including SAP NetWeaver, SAP S/4HANA, and related components.
- Utilize your in-depth knowledge of operating systems (Windows, Linux, Unix) and system architecture to optimize system performance and stability.
- Work with ticketing systems to manage and prioritize support requests, ensuring timely resolution and effective communication.
- Organize SAP Basis tasks and coordinate closely with customers and other teams within the organization.
- Manage SAP databases, including MS-SQL, Oracle, DB2, Sybase, and Hana, ensuring data integrity and efficient performance.
- Perform system monitoring, performance tuning, and troubleshooting to maintain optimal system performance.
- Implement security measures, user authentication, and authorization protocols to ensure data integrity and system security.
- Execute regular system backups, disaster recovery planning, and testing to ensure data integrity and business continuity.
- Collaborate with functional teams to support system configuration, enhancements, and customizations to meet business requirements.
- Maintain documentation related to system architecture, configurations, and standard operating procedures.
- Stay current with industry trends, best practices, and advancements in SAP technology to provide innovative solutions and recommendations.
Qualifications & Skills:
- Years of Experience: 4 – 6 in SAP BASIS
- Should have hands-on working experience in at least 1 end to end implementation project, 2 support projects, 1 upgrade and 1 migration project
- Should have experience of client-facing roles
- Should have excellent communication skills
Should have experience of working on the following:
- SAP System Installation and Configuration (L1/L2)
- SAP System Support Packages Upgrades and Patching (L1/L2)
- SAP System Performance Tuning (L1/L2)
- SAP Transport Management (L1/L2)
- SAP Backup and Recovery (L1/L2)
- SAP User Administration (L1/L2)
- SAP Kernel Upgrades (L1/L2)
- Database Administration (e.g., Oracle, SAP HANA) (L1/L2)
- SAP Solution Manager (L1/L2)
- AWS / Azure / GCP Cloud Basis Skills (L1/L2)
- Troubleshooting SAP System Issues (L1/L2)
- Documentation and Reporting (L1/L2)
- SAP HANA Administration (L1/L2)
- Knowledge of SAP Basis Best Practices (L1/L2)
- Scripting and Automation (e.g., PowerShell, Bash) (L1/L2)
- Operating system (L1/L2)
- Communication and Collaboration Skills (L1/L2)
React.js
Redux/FluxTitle : React Developer
Locations: Gachibowli, Hyderabad, Chennai, Bangalore and Delhi (Remote).
Job Type: Fulltime
- Sound experience on React JS (16+ version).
- Strong experience on TypeScript/JavaScript, HTML5, CSS3 and Redux.
- Having experience on SPFx, Fabric JS and Angular is an added advantage.
- Willing to learn new technologies
NodeJS (Node.js)
Javascript-
Experience as a Full Stack Developer or similar role
- Familiarity with common stacks
- Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, JSON, jQuery)
- Knowledge of multiple back-end languages (e.g., C#, Java, Python) and JavaScript frameworks (e.g., Angular, Node.js)
- Excellent communication and teamwork skills.
- Great attention to details, Organizational skills, An analytical mind
- Degree in Computer Science, or relevant field.
Responsibilities
- Work with development teams and product managers to ideate software solutions
- Design client-side and server-side architecture
- Build the front-end of applications through appealing visual design
- Develop and manage well-functioning databases and applications
- Write effective APIs
- Test software to ensure responsiveness and efficiency
- Troubleshoot, debug and upgrade software
- Create security and data protection settings
- Build features and applications with a mobile responsive design.
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.
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