Assoc.Technical lead

Requirements 

Currently pursuing or recently completed a degree in marketing, communications, or a related field

Your responsibilities include creating and curating engaging content across digital platforms to boost engagement.

Oversee daily social media operations, including post scheduling, interaction, and monitoring.

Assist in enhancing website content for better search engine visibility.

Support the creation and analysis of email campaigns, optimizing based on performance.

Stay updated with the latest digital marketing trends and tools to support the marketing team effectively.

About Talent Litmus

- Talent Litmus is a game-based platform for assessments and learning founded by IIT Bombay, IIM Ahmedabad alumnus. We are a young, funded, growing and ambitious startup.

- Imagine if companies were to recruit candidates using interactive mobile games instead of tedious assessments. What if training sessions in organisations were not long 3-day workshops but gripping online role-playing games. We imagined it, and have made it a reality.

- We are using Games and Generative AI to make assessments nd learning at the workplace interesting.

Responsibilities

• Complete ownership of our web and mobile platform - from specification to design, development, and troubleshooting.
• Design and develop secure, scalable, performant and reliable systems.
• Create a framework of technical standards and procedures
• Collaborative work with other HR tech platforms to implement seamless integration.
• Rapid development and prototyping of new features.

Requirements 

• Bachelors or higher degree in Computer Science or Mathematics 2 or more years of demonstrated successful experience in Full-Stack web development.
• Hands-on Experience with designing and building a high-quality front end for web applications.
• Experience with Node. JS, Angular JS, MongoDB, ExpressJS, NestJs, AWS(EC2, Route53, S3, CloudFront, Lambda), Docker, nginx.
• Experience with version control systems such as Git.
• Experience with Typescript Basic understanding and exposure to GEN AI tech.
• Bonus: experience with CI/CD, and game development (phaser.js, three.js, play canvas, etc. )
• Ability to have smart technical conversations and defend hypotheses with factual data.
• Candidates willing to work from home or from office in Mumbai

Position Description:

Amity University, Patna campus invites applications for a tenure-track Assistant Professor position in the Department of Computer Science. The successful candidate will demonstrate a strong commitment to teaching, research, and service in the field of computer science.

Responsibilities:

• Teach undergraduate and graduate courses in computer science, with a focus on [insert areas of specialization or interest, e.g., artificial intelligence, machine learning, software engineering, etc.].
• Develop and deliver innovative curriculum that incorporates industry best practices and emerging technologies.
• Advise and mentor undergraduate and graduate students in academic and career development.
• Conduct high-quality research leading to publications in peer-reviewed journals and presentations at conferences.
• Seek external funding to support research activities and contribute to the growth of the department.
• Participate in departmental and institutional service activities, including committee work, academic advising, and community outreach.
• Contribute to the collegial and collaborative atmosphere of the department through active engagement with colleagues and participation in departmental events and initiatives.

Qualifications:

• A Ph.D. in Computer Science or atleast Thesis submitted
• Evidence of excellence in teaching at the undergraduate and/or graduate level.
• A strong record of research productivity, including publications in reputable journals and conferences.
• Demonstrated expertise in [insert areas of specialization].
• Ability to effectively communicate complex concepts to diverse audiences.
• Commitment to fostering an inclusive and equitable learning environment.
• Strong interpersonal skills and the ability to work collaboratively with students, faculty, and staff.
• Potential for leadership and contribution to the academic community.

Preferred Qualifications:

• Experience securing external research funding.
• Experience supervising undergraduate or graduate research projects.
• Experience with curriculum development and assessment.
• Experience with industry collaboration or technology transfer initiatives.

Application Process:

Interested candidates should submit a cover letter, curriculum vitae, statement of teaching philosophy, statement of research interests, evidence of teaching effectiveness (e.g., teaching evaluations), and contact information for three professional references. Review of applications will begin immediately and continue until the position is filled.

Automation Tester ( Selenium, API, SQL )

Experience - 8+

• Proven software development experience
• Proven working experience in Android
• Strong Java OOPs concepts and design patterns understanding 
• Hands-on experience on Kotlin.
• Good understanding of C and data structures, JavaScript
• Must have a good understanding of React Native or Cordova
• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Have published at least one app in the Store.
• Experience in writing SDK frameworks
• Experience working with remote data via REST and JSON
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with third-party libraries and APIs
• Knowledge of JNI, security algorithms
• Experience with offline storage, threading, and performance tuning
• Ability to design applications around natural user interfaces
• Knowledge of the open-source Android/iOS ecosystem and the libraries available for common tasks
• Must be proficient in code versioning tools such as Git, SVN
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies Solid understanding of the mobile development life cycle
• Good to have: Experience in working on cross-platform such as Flutter, Kony.

Senior UI Developer

Looking for a highly skilled/ Experienced Candidates in Frontend Programming & who is comfortable in dealing with Backend tools.

Key Responsibilities

Reviewing application requirements and interface designs.

Identifying web-based user interactions.

Developing and implementing highly-responsive user interface components using react concepts.

Writing application interface codes using JavaScript following ReactJS workflows.

Troubleshooting interface software and debugging application codes.

Developing and implementing front-end architecture to support user interface concepts.

Monitoring and improving front-end performance.

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

6 to 9 years of strong design and development experience in building massively large-scale distributed internet systems and products.

Previous experience working as a React.js Developer.

In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.

Strong experience using a client side MVC framework such as NodeJS, ReactJS, Redux.

Experience with user interface design.

Knowledge of performance testing frameworks including Mocha and Jest.

Experience with browser-based debugging and performance testing software.

Experience in responsive design, cross browser compatibility and website performance.

Knowledge of frontend CSS frameworks like Bootstrap, Material UI and preprocessors like SASS and LESS.

Experience with handling Services, RESTful, APIs (NodeJS preferably).

You will be working with top-quality engineers who have built one of the best employee engagement SaaS platforms. You will be reporting to Engineering Head and working closely with the Architect and other leads.

We are

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Xoxoday works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.

Xoxoday is a horizontal rewards & incentive infrastructure platform to solve problems around employee rewards and recognition, channel incentives, sales incentives, and consumer promotions.

Xoxoday (pronounced “zo-zo-day”) is a one-of-a-kind all-in-one engagement and motivation platform that has been empowering organisations across the globe to improve business efficiency, productivity, performance while optimising costs in employees, sales, channel, and consumer engagement. Founded in the year 2012 by Manoj Agarwal, Abhishek Kumar, Sumit Khandelwal and Kushal Agrawal, Xoxoday offers a powerful platform for organisations to align their users with motivation triggers – both extrinsic and intrinsic – and achieve tangible business outcomes. Xoxoday’s robust technology platform includes three highly scalable, easy to use, plug-n-play products. These platforms help organisations to motivate and engage their employees, distributors, dealers, contractors, freelancers, sales teams, survey panellists and more.

1. Should have deep knowledge in the relevant tech stack (JAVA, MEAN, MERN, LAMP, etc.,) with Micro-services experience.

2. Must be well versed with algorithms

3. Should have in-depth knowledge of databases - SQL, NoSQL, Mongo DB.

4. Should be able to suggest the best stack and provide an optimized approach to complete a project.

5. Should be able to covert requirements into sprint plans and estimations.

6. Should be able to jump on client calls and translate and break down business level requirements into developer goals/sprints.

7. Should be able to step in and code/solve problems when required

8. Should be able to review the code of the developers and objectively define points for improvement

9. Should be willing to learn new stacks and spend a lot of time on RnD

10. Should be able to get things done :)

11. Should be able to assess risks involved in the projects.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning