Presales Engineer

Role : Product Motion Designer

Exp: 3 -8 Years

CTC: up to 25 LPA

Ideal Candidate

• 3+ years of experience in motion graphics, animation & micro-interactions towards designing for consumer-focused products.
• Expertise in design tools such as Figma, After Effects, Protopie, etc.
• Strong portfolio showcasing interactive motion design projects.
• Decent knowledge of how Lottie animations work.
• A keen sense of design with a focus on the consumer's perspective.
• Strong communication skills & meticulous attention to detail.

Crafting Stunning Interactions/Animations:

• Design animations and micro-interactions for products to enhance usability, engagement & user delight.
• Collaborate with fellow designers, developers, and other stakeholders to understand project requirements and goals. Further integrate the motion design seamlessly into the overall user experience.
• Proactively initiate efforts to enhance various facets of the product experience. Innovation & Ownership
• Conceptualize original ideas that simplify & enhance user delight, especially in the face of complex design challenges.
• Take ownership and be at the forefront of the motion design across features in the consumer app. Prototyping
• Create interactive prototypes to demonstrate the motion design concepts and user interactions.
• Iterate on designs based on stakeholder and user feedback.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

We are seeking a skilled Qlik Developer with 4-5 years of experience in Qlik development to join our team. The ideal candidate will have expertise in QlikView and Qlik Sense, along with strong communication skills for interacting with business stakeholders. Knowledge of other BI tools such as Power BI and Tableau is a plus.

Must-Have Skills:

QlikView and Qlik Sense Development: 4-5 years of hands-on experience in developing and maintaining QlikView/Qlik Sense applications and dashboards.

Data Visualization: Proficiency in creating interactive reports and dashboards, with a deep understanding of data storytelling.

ETL (Extract, Transform, Load): Experience in data extraction from multiple data sources (databases, flat files, APIs) and transforming it into actionable insights.

Qlik Scripting: Knowledge of Qlik scripting, set analysis, and expressions to create efficient solutions.

Data Modeling: Expertise in designing and implementing data models for reporting and analytics.

Stakeholder Communication: Strong communication skills to collaborate with non-technical business users and translate their requirements into effective BI solutions.

Troubleshooting and Support: Ability to identify, troubleshoot, and resolve issues related to Qlik applications.

Nice-to-Have Skills:

Other BI Tools: Experience in using other business intelligence tools such as Power BI and Tableau.

SQL & Data Querying: Familiarity with SQL for data querying and database management.

Cloud Platforms: Experience with cloud services like Azure, AWS, or Google Cloud in relation to BI and data solutions.

Programming Knowledge: Exposure to programming languages like Python or R.

Agile Methodologies: Understanding of Agile frameworks for project delivery.

Want to work for Riskcovry?
We are a passionate, dynamic, and balanced team. Our culture is open, direct, and merit-oriented. Our team has enormous depth across insurance, technology, fintech, strategy and investment. We have great investors partnering with us to help achieve our vision.

Riskcovry is one of the fastest growing startups in our space and we would love to have you onboard. Read more about us:
https://www.riskcovry.com/" target="_blank">https://www.riskcovry.com
https://www.linkedin.com/company/riskcovrycom/" target="_blank">https://www.linkedin.com/company/riskcovrycom/

We are looking for people who:
1. Have a strong bias for action and value speed over perfection.
2. Make decisions with this ethos: Customer > Company > Team > Me
3. Thrive in a flat and open organization
4. Recognize that frugality is the key to efficiency
5. Are self-starters and have a natural tendency to own company and team goals

Job Location: Bangalore (Work from Home Based on Covid Safety Guidelines)

Industry Type: Insurance and Technology

Vacancy: 6 Positions

Experience: 3-4 Years

• Level 4 - 4no’s 
• Level 3 - 1no’s 
• Project coordinator

Additional Benefits: Insurance, PF, Gratuity,In house Psychologist and ESOPs for deserving candidates.

Roles & Responsibilities

• Experience with L2/L3 support, Service Management, Escalation management, KPI/SLAs tracking, measuring and reporting 
• Ability to troubleshoot and provide resolution in a fast-paced environment
• Installing/ upgrading the database server and application tools.
• Good in creating support documentation – Runbook, troubleshooting guide, SOP
• Should be open to work towards issue resolution as priority tasks
• Ability to qualify issues, test them and provide resolution with the help of Dev/Engineering team
• Provide input for modification of procedures and documentation used for problem resolution and day-to-day maintenance.
• Solve database usage issues and malfunctions.
• Provide data management support for our users/clients
• Linux/Unix Operating System skills including 
• Viewing and searching server log files
• Editor skills such as vi, vim, emacs etc
• Restart and trouble shoot servers not responding
• Copy files from remote servers
• Vhost and Access logs interpretation

Requirements, Desired Skills and Experience

• Hands-on experience in delivering results-driven solutions with proven business value.
• 3+ years of experience with Python/Perl/C or similar scripting.
• Familiar with queries, procedures, and query optimization
• Hands on experience with linux operating environment.
• Run simple scripts on linux preferably linux root as sudo
• AWS certification - preferred.
• Excellent interpersonal skills.
• Familiarity with working on an Agile/Iterative development framework.
• Self-starter with a positive attitude with the ability to collaborate with product managers and developers.
• Good to have knowledge of support tools – Freshdesk or similar tools
• Prior knowledge of Insurance domain is a plus
• Should be open to work over weekends and on holidays during emergencies

Apply only on this link - https://loginext.hire.trakstar.com/jobs/fk03zmf?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk03zmf?source=

LogiNext is looking for an ambitious and committed specialist in Lead Generation who can do what it takes to succeed. You will identify business opportunities and generate interest among the key players. You will develop new prospects and build a great sales pipeline.

You have experience in generating leads and expanding the customer database in a product organization. You are a master in striking an engaging conversation with senior executives and attracting their attention towards the product value.

Responsibilities

Identify prospective clients and build a strong sales pipeline for the Sales Managers via cold - calling, out-bound leads, email communications, LinkedIn, referrals and other direct marketing methods Find unique ways to attract the attention of C-level executives of retail, FMCG, transportation, courier, manufacturing and e-commerce companies across Asia and North America to influence them to use LogiNext Product suite Initiate appointments with Sales team and sync-up with the respective Sales Manager to determine meeting output and follow up aggressively to close the deal Communicate status on a daily, weekly and monthly basis via phone and emails in accordance with the strategic plan and goal as developed by the Sales Head Log and record each-and-every outreach made, in CRM, producing regular activity reports as requested by Sales Head Act as a bridge between Marketing and Sales. Be cognizant of each marketing initiative, and work toward corporate objectives

Requirements

Bachelor’s degree or equivalent in the field of computer science, information technology, mathematics or similar domains 2-3 years of experience in lead nurturing, lead generation and appointment setting Possessing good understanding of sales cycle, with a proven track record in a product organization Good working knowledge of enterprise technology and SaaS market Ability to take ownership, must work well individually or as a team member and to prosper in a fast-accelerating sales environment Knowledge of using CRM would be an added advantage Excellent selling skills, presentation skills, verbal and written communication skills and time management skills are essential Comfortable working in US shift All in all, someone who loves talking, engaging and selling round the clock

Responsibilities :

·         In-depth knowledge in web markup, including HTML5, CSS3, client-side scripting, and JavaScript frameworks, including jQuery

·         Good understanding of asynchronous request handling, partial page updates, and AJAX

·         Deep knowledge of Angular 2+ (Typescript)

·         Strong knowledge of CSS3 extended languages such as SASS / LESS

·         Implementing responsive design for mobile sites

·         Ability to write high-performance, reusable code using JS best practices.

·         Experience in code optimization and refactoring.

·         Experience working with theme frameworks like Bootstrap or any Material Design libraries

·         Comfortable with JSON data manipulations

·         Good understanding of cross-browser compatibility issues and ways to work around    them

·         Experience with version control, such as Git

·         Testing the site during development for usability and fixing any bugs.

·         Cooperating with web designers to match visual design intent.

·         The role requires constant interaction with other developers in the team

Kindly revert with your updated resume

THANK YOU

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) 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.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, 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.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• 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.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis