Primary responsibilities:-
- Ensure timely delivery as per the product plan.
- Track implementations across clients and ensure delivery in coordination with the technology team.
- Highlight Risks in the project, to ensure everyone understands overall risk.
- Manage the QA process, to help iterate on the products.
- Manage project scope and changes. Ensure that the project is within the scope, schedule, budget and quality standards.
- Coach, the mentor, motivate and supervise the project team. Delegate tasks and responsibilities to appropriate personnel.
- Keep detailed track of projects and share updates with clients.
- Manage client expectations for projects. 9.Customer visits.
Skills required:-
1.Should have good knowledge of any technology
2.Good experience in customer management and people management.
3.Full project life cycle ownership: successful project delivery will include full implementation from initiation to deployment for one major or several minor initiatives simultaneously.
- Experience with enterprise products is desirable
- Experience in banking and finance domain is a bonus
- Client facing experience in the role of a project manager.
Desired experience:-
Should have handled small/medium projects in the past.
Prepare product and project plans in coordination with the sales team and tech team.
Should have worked with technical architects and developers and understands the terminology and concepts.
Proven ability to demonstrate a drive for results and accountability of business needs.
Experience of 3-4 years in Project Management
2-3 years in a PMO role
Overall experience of 6-8 years
Preferably from Product Organisations. But not a must.
Experience in preparing and reviewing Project Plans
Understanding of project governance and process compliances
Deep understanding of Project tracking and Risk assessment.
Experience of preparing Project reports, Snapshots, MIS.
Good team player - as he/she will need to work closely with PMs and other internal teams.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Java
Spring BootWissen Technology is hiring for Java Tech lead
Required:
- 8-10 years of industrial experience
- Java and related frameworks.
- Experience in Core Java 1.8 and above, Data Structures, OOPS, Multithreading, Microservices, Spring and Swift Payments
- Exposure on Fintech domain is mandatory
- Should have the ability to analyse, design, develop and test complex, low-latency client-facing applications.
- Good development experience with RDBMS
- Good knowledge of multi-threading and high volume server side development
- Excellent problem solving and coding skills in Java
- Strong interpersonal, communication and analytical skills.
Company Profile:
Company Name : Wissen Technology
Group of companies in India : Wissen Technology & Wissen Infotech
Work Location - Bangalore
Website : www.wissen.com
Wissen Thought leadership : https://www.wissen.com/articles/
LinkedIn: https://www.linkedin.com/company/wissen-technology
GitCandidate should be proficient in
Experience- 3+ years
Plugin development
Working with ACF's to build bespoke build
Knowledge of Root sage
Proficiency in MVC coding
Profieciency in working with Git and CI/CD tools
Third party API integration and Development
Must be Disciplined, Accountable for their Jobs and able to ensure timely delivery
Communication skill is important
Magento 2.0 or shopify could be an additional skill set to be considered.
Should be able to manage team
Immediate Joiner
Woo-commerce customization
Key Responsibilities:
● Ensure performance, strategy and alignment of the company's revenue generating departments
● Establishing guiding sales organizational principles for managing performance
● Mapping key client and agencies in the region for pitching lbb advertising / marketing solutions
● Build trusted relationships, and clearly articulate key value propositions, process and performance for the region
● Manage team and ensure they learn and deliver the set KRA's
● Execute the sales strategies, manage sales sales territories and leverage the right resources to optimize the results
Our Ideal colleague:
● Has grown and managed ad sales revenues
● Is deeply networked with large clients, media / ad agencies in the region
● Is an excellent communicator and operates with lot of trust and confidence
● Strategically views the marketplace, analyzes opportunities and successfully manages the growth of a profitable content business
● Wants to make an impact with work and right attitude
● Is a team player
**About jhana**
jhana is an early-stage, seed-funded startup that builds intelligent practice tools for the
law across research, drafting, and document management. At jhana.ai, we are
transforming the legal industry with India’s first AI-driven Paralegal. Our product delivers
critical legal insights through advanced AI, producing outputs like redlines, memos, and
risk assessments to streamline workflows for legal teams. Recognized as the Best Legal
Tech Startup in Asia and Oceania by ALITA, we are on a mission to empower professionals
with technology that drives efficiency and excellence.
**Position Overview**
We are looking for a dynamic and driven Account Manager with **3-5 years of experience
in legal ecosystem,** account management, sales and client relations. **A background in
law is mandatory;** candidates with a passion for client success, excellent communication
skills, and the ability to manage multiple accounts will excel in this role. The Business
Account Manager will be responsible for supporting client relationships, ensuring client
satisfaction, and driving growth within assigned accounts. This position involves regular
travel for client interaction, both virtually and in-person.
**The day-to-day**
Client Relationship Management
● Serve as a key point of contact for assigned clients, building and maintaining strong relationships to ensure satisfaction and long-term engagement.
● Proactively communicate with clients to understand their needs, resolve issues, and provide solutions that align with their goals.
● Provide exceptional client service, consistently striving to exceed expectations and deliver value. Account Growth & Retention
● Support account growth by identifying upsell and cross-sell opportunities within assigned client accounts.
● Collaborate with the sales team to develop strategies for renewal and expansion, assisting in the preparation of proposals and presentations.
● Monitor account performance and proactively address any potential risks to client retention. Process & Operations Support
● Assist in implementing account management processes, ensuring efficient workflows and accurate reporting.
● Track and document client interactions, account activities, and progress using CRM tools and account management software.
● Provide insights and feedback on internal processes, helping to identify areas for improvement in client engagement and service delivery. Collaboration with Cross-Functional Teams
● Work closely with internal teams, including sales, marketing, and customer success, to ensure a seamless client experience.
● Coordinate with the product team to relay client feedback, contributing to product enhancements and helping tailor solutions to client needs.
● Participate in team meetings and share updates on client progress, challenges, and opportunities.
Client Meetings & Engagements
● Conduct virtual and in-person meetings with clients to present updates, review performance, and discuss upcoming needs.
● Represent the company at industry events and conferences as needed, enhancing client relationships and expanding professional networks.
**Qualifications & Skills**
● Education:**** Bachelor’s degree in Law.**** An advanced degree in
Business is a plus.
● Experience:** 3-5 years of experience in Legal ecosystem. **
● Good to have: 2 years of experience in account management, client
relations, or sales. Experience in SaaS, or B2B sectors is a plus.
● Communication Skills: Excellent verbal and written communication skills, with the ability to articulate complex information clearly and confidently.
● Organizational Skills: Strong organizational and time-management skills, with the ability to handle multiple accounts and priorities simultaneously.
● Customer-Focused: Passionate about delivering value to clients and ensuring a positive client experience.
● Tech Proficiency: Familiarity with CRM software (e.g., Salesforce, HubSpot) and Microsoft Office Suite.
Preferred Experience
● Experience in the legal industry or with legal tech products.
● Demonstrated success in managing client relationships and meeting account growth or retention goals.
● Knowledge of project management tools and client success strategies. Additional Requirements
● Travel: Travel would be required for client meetings and events.
● Adaptable & Self-Driven: A proactive attitude and the ability to adapt in a fast-paced, dynamic environment.
C#
.NETTechnical Skills Required:
- A graduate in computers or Engineering from a reputed university.
- Hands-on experience in Microsoft C#.Net technology.
- Hands-on experience in C#, WPF, MVVM architecture
- Knowledge of TCP/IP socket programming is a plus
- Strong in OOPs concept & SQL Server.
- Windows desktop application, Dot Net, C#, Entity Framework, WPF, XAML, Unity3D.
- Building structural and architectural domain knowledge, Automobile domain knowledge
- Microsoft certification on Azure (blob storage)
- Fair understanding of HTML, CSS, Web Application, Windows Store App, Design Patterns
Java
Javascript
React.js
Angular (2+)
AngularJS (1.x)Exp-4 - 10 years
Angular above 4+ version
Core Java
Springboots, springs,JPA
Hibernate
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.
Our client uses protected methodologies to invert valuation of novel cryptographic assets during private DLT secured, varied contractual based, real-world exchange. It offers access to over 30 unique digital tools and solutions. With both Business-to-Business (B2B), and Direct-To-Consumer (DTC) models active, the company is a Blockchain, Software, Platform and Security as-a-service solution (B/S/P/SaaS).
The company has clients from all over the world and is boosting the independent economy by empowering members with private digital ownership of IP. Headquartered in the UK, the company has its offices in Hong Kong, USA, Thailand and India.
What you will do:
- Working with various departments to coordinate and develop digital CRM solutions including bespoke in-house software
- Writing clean, manageable code and maintaining proper documentation
- Writing smart contract integration in JS using web3 like libraries
What you need to have:
- Minimum 2 years of hands-on experience with Solidity and Ethereum like Blockchains
- Experience in deploying smart contracts
- Experience in MEAN stack
- Understanding of blockchain concepts
- Experience with distributed storage is plus
- Ability to work within the team and independently
- Strong organizational, time management and analytical skills
HTML/CSSAngular (2+)React.jsJavascript
jQueryBiddano is seeking a multi-skilled candidate with a keen eye for design for the position of Frontend Developer. He/She will be responsible for ensuring the alignment of web design and user experience requirements, optimizing web pages for maximum efficiency and maintaining brand consistency across all web and mobile pages, among other duties.
The ideal candidate will have strong personal accountability for results, strong commitment to teamwork in support of the company's success, adherence to ethical business practices, and comfort operating in a start-up environment with an ability to prioritize and drive actions to closure.
a start-up environment with an ability to prioritize and drive actions to closure.
Frontend Developer
Responsibilities:
- Use markup languages like HTML/JS/CSS or SCSS to create user-friendly web pages
- Maintain and improve web application and mobile applications.
- Optimize applications for maximum speed
- Design mobile-based features
- Collaborate with back-end developers and web designers to improve usability
- Get feedback from, and build solutions for, users and customers
- Write functional requirement documents and guides
- Create quality mockups and prototypes
- Help back-end developers with coding and troubleshooting
- Ensure high quality graphic standards and brand consistency
- Stay up-to-date on emerging technologies
Skills Required:
- Proven work experience as a Front-end developer
- Hands on experience with markup languages
- Experience with JavaScript, CSS and jQuery
- Familiarity with browser testing and debugging
- In-depth understanding of the entire web development process (design, development and deployment using AWS S3 or AWS EC2)
- Understanding of layout aesthetics
- Knowledge of SEO principles
- An ability to perform well in a fast-paced environment
- Excellent analytical and multitasking skills
- B.Tech degree in Computer Science or relevant field
- Frontend technology:
- Angular 2+, typescript. (Required)
- React
- Mobile technology:
- Flutter/Dart or other Core Android/IOs development. (At Least one of them required)
- Bitbucket/GIT pipelines for automatic build and deploy.
- JIRA
- Testing with professional test cases.
Experience :
- Minimum 4-7 years of experience as a Frontend Developer
- Masters in Computer Science, Engineering or similar relevant field
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Full Stack Developer - Averlon