
Job Summary:
We are seeking a skilled and visionary UI/UX Designer with a minimum of 3 to 9 years of experience in SaaS companies and a strong background in Product Design. As the senior UI/UX Designer, you will be responsible for leading our design team and driving the creation of exceptional user experiences for our SaaS products. Your extensive knowledge of UI/UX design principles, product design methodologies, and SaaS industry expertise will be vital in shaping our design strategy and delivering innovative, user-centric solutions.
Responsibilities:
- Collaborate with a team of UI/UX designers, providing mentorship, guidance, and fostering a collaborative design culture.
- Collaborate closely with product managers, developers, and stakeholders to understand business objectives and user needs.
- Conduct user research, competitor analysis, and usability testing to gain insights and validate design decisions.
- Create wireframes, interactive prototypes, and high-fidelity designs that align with the product vision and user requirements.
- Design intuitive user interfaces that provide a seamless and delightful user experience.
- Develop user flows, information architecture, and interaction models to enhance usability and product functionality.
- Conduct design reviews and iterations based on user feedback and data analysis.
- Stay updated with the latest design trends, emerging technologies, and best practices in UI/UX and product design.
Requirements:
- Minimum 3 years and maximum 9 years of proven experience as a UI/UX Designer in SaaS companies with a strong focus on product design.
- Familiarity with AI concepts and the ability to design interfaces that effectively communicate AI-driven insights to users.
- Proficiency in design tools such as Adobe XD, Figma, Sketch, InVision, or similar.
- In-depth knowledge of UI/UX design principles, product design methodologies, and designing for complex web applications.
- Strong background in conducting user research, usability testing, and data analysis.
- Excellent leadership, communication, and collaboration skills.
- A portfolio showcasing successful UI/UX design projects for SaaS products and product design work.
- Ability to manage multiple projects in a fast-paced environment.
Join our team and lead the charge in creating outstanding user experiences for our innovative SaaS products.
Submit your portfolio along with your application to be considered for this position.

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EXCELLENT OPENING FOR USA ENERGY SALES PROCESS (INBOUND & OUTBOUND) - PayGeek is hiring for its captive process (www.letuscompare.net) in New Town, Kolkata for the USA Energy Sales Process (Inbound / Outbound Telesales) and offers you the opportunity to come and join Immediate with the below benefits:
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Note Opportunity Type: Work From Office (Please don't apply if you are looking for a work from home option, but we do provide pickup & drop)
Desired Candidate Profile
* Should have convincing Capabilities and selling skills.
* Excellent English Communication Skills.
* Basic Computer Knowledge.
* Qualification No Bar.
* Min 1 year experience in Outbound Sales Process. (Tech Support experience not counted) .
Perks and Benefits
* Fixed Shift with Fixed Week OFF (Sunday & Saturday)
* Office Timings: 7:30 PM - 5:00 AM (Night Shift)
* Salary on Time (1st of every month).
* No Salary Deduction for Target
* Monthly Performance Bonus.
* Uncapped Incentives & Commissions.
* Referral Bonus.
* Pickup & Drop or Transport Allowance Provided.
* No Salary Deduction for Target
* Monthly Performance Bonus.
To apply call HR Team - Tania Fatema
JOB DETAILS
Job Title: Call Associate Executive required For US Energy Sales Process | Night Shift
Company: Paygeek Soft Solutions ( DWC Technologies )
PayGeek is hiring for its captive process (www.letuscompare.net) in New Town, Kolkata for the USA Energy Sales Process (Inbound / Outbound Telesales) and offers you the opportunity to come and join Immediate with the below benefits:
Opportunity Type: Work From Office (Please don't apply if you are looking for a work from home option, but we do provide pickup & drop)
Salary Range: ₹15,000.00 - ₹28,000.00 per month
For any query please call HR Team -Tania Fatema
Office location Address :
Mani Casadona, 10th Floor, Office # 08 Plot #2 F/4, Action Area, Action Area 1D, #2 F, Newtown, Kolkata, West Bengal 700156 .
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- Identify and target potential clients within the IT industry through research, networking, and utilizing LinkedInSales Navigator.
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- Engage with prospects to understand their business needs and challenges, and effectively articulate how our solutions can address those needs.
- Collaborate closely with the sales and marketing teams to develop and implement effective sales strategies, including the creation of compelling sales presentations and proposals.
- Build and maintain strong relationships with clients and prospects, ensuring high levels of customer satisfaction and repeat business.
- Stay up-to-date with industry trends, market dynamics, and competitor activities to identify new business opportunities and maintain a competitive edge.
- . Provide regular reports on sales activities, pipeline status, and market trends to the management team.
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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




