Skills & Responsibilities
- Remotely manage host of daily order pick-up schedules, ensuring 100% on-time delivery
- Own a robust real-time connect over information and documents with our service partner for smooth flow of daily collections and process adherence
- Ensure top customer experience; attend to and manage escalations, ensure proper RCA and corrective action in place
- Own and drive key metrics of product rating, on-time delivery and customer contact ratio; analyse and present weekly and monthly trends in operation forum
- Oversee monthly reconciliation of service data with vendor, and ensure internal & external reporting are finished on time
- Present insights and propose new ideas on business progress based on ops metrics, and industry trends
- Diligent real-time follow ups on sample collections and quick thinking on the feet to effectively handle customer ticket resolutions will be 2 critical expectations
- Relevant work-experience in sample collection monitoring, lab/order handling will be helpful
About Curefit
Cure.fit is an app that takes a holistic approach towards health and fitness by bringing together all aspects of a healthy lifestyle on a single platform.
Cure.fit offers both digital and offline experiences across fitness, nutrition and mental wellbeing through its 3 products, i.e, cult.fit, eat.fit & mind.fit. With the aim to provide the best services to its customers, cult.fit boasts of a state of the art workout facility for athletes to train at. On the nutrition side, there is no other service provider in the market that offers healthy & tasty meals that are calorie counted, so all you need to do is eat.fit.
Addressing the core aspect of mental wellbeing, mind.fit aims to bring about a lifestyle change and focuses on relieving day to day stress and improving overall mental wellbeing through yoga and guided meditation. It’s not just fitness. It’s a lifestyle.
Strive to #BeBetterEveryday
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UKG is looking to hire a Lead Software Engineer to join our extremely talented Data Science team. As a Lead Software Engineer at UKG, you’ll be embedded on the Data Science team where you can work on the next generation AI Platform. You’ll get to work directly with other Engineers, Software Testers, Business Analysts, Product Managers, and Directors, all of whom make up the team. In this highly collaborative environment, you will have the opportunity to grow as a software engineer, and even help mentor others.
This position requires excellent object-oriented programming skills and knowledge of design patterns. They will be involved in the deployment of our AI Platform/Services solution on the cloud. The job requires you to be able to design, develop, troubleshoot, and debug complex software applications at the enterprise level. We are looking for a software engineer who is passionate about programming and truly enjoys what they do. The ideal candidate for the Python Engineer position is someone who has a can-do attitude and is an innovative thinker.
UKG works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with Business Analysts and Software Testers, as well as work closely with other team members are key components for success in this position.
Primary Responsibilities:
- Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.
- Engage in code reviews and training of team members.
- Support continuous deployment pipeline code.
- Situationally troubleshoot production issues alongside the support team.
- Continually research and recommend product improvements.
- Create and integrate features for our enterprise software solution using the latest Python technologies.
- Write web services, business objects, and other middle-tier framework using Python
- Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.
- Leverage open-source and other technologies and languages outside of the Python platform.
- Develop cutting-edge solutions to maximize the performance, scalability, and distributed processing capabilities of the system.
- Provide troubleshooting and root cause analysis for production issues that are escalated to the engineering team.
- Work with development teams in an agile context as it relates to software development, including Kanban, automated unit testing, test fixtures, and pair programming.
Qualifications
- 5-8 years experience as a Python developer on enterprise projects using Python, Flask, FastAPI, Django, PyTest, Celery and other Python frameworks.
- Software development experience including: object-oriented programming, concurrency programming, modern design patterns, RESTful service implementation, micro-service architecture, test-driven development, and acceptance testing.
- Familiarity with tools used to automate the deployment of an enterprise software solution to the cloud, Terraform, GitHub Actions, Concourse, Ansible, etc.
- Proficiency with Git as a version control system
- Experience with Docker and Kubernetes
- Experience with relational SQL and NoSQL databases, including MongoDB and MSSQL.
- Experience with object-oriented languages: Python, Java, Scala, C#, etc.
- Experience with testing tools such as PyTest, Wiremock, xUnit, mocking frameworks, etc.
- Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI
- Excellent problem solving and communication skills.
Job Description-
Responsibilities:
* Work on real-world computer vision problems
* Write robust industry-grade algorithms
* Leverage OpenCV, Python and deep learning frameworks to train models.
* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.
* Develop integrations with various in-house or external microservices.
* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices
* Research latest technologies and develop proof of concepts (POCs).
* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:
* Segmentation
* Object Detection
* Classification
* Objects Tracking
* Visual Style Transfer
* Generative Adversarial Networks
* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision
* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes
* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies
Skills:
* Object Detection
* Computer Science
* Image Processing
* Computer Vision
* Deep Learning
* Artificial Intelligence (AI)
* Pattern Recognition
* Machine Learning
* Data Science
* Generative Adversarial Networks (GANs)
* Flask
* SQL
Experience: 3+ years of extensive experience into .Net technologies.
Requirements:
- Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC)
- 5 years of development experience using C# .NET
- Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
- Familiarity with architecture styles/APIs (REST, RPC)
- Understanding of Agile methodologies
- Strong attention to detail
- Excellent troubleshooting and communication skills
- Knowledge of REST and RPC APIs
- Able to work well in a team setting
- Collaborating with the product team to understand the requirement
- Managing Design and development of the product
- Ensuring code quality, security and extensibility
- Following the agile development cycles
- Conducting performance tests and optimization of the code based on the results.
- Debugging and troubleshooting of technical issues
- Helping the support team to resolve external user issues
Desired Candidate Profile
What you need to have:- B.Tech /B.E.; M.Tech; MCA
- Strong at OOPS, Java/ J2EE, JAX-RS, JDBC, RESTful Web Services, Data Structures, Queues, Multi-Threading etc.
- MySQL and Mongo database knowledge
- Basic understanding of AWS Cloud
- Must have worked on highly scalable and available systems
- Good at adapting and understanding architecture and overall design of the system
- Exposure to design patterns is a plus
- Must have exposure to agile development
- Experience of creating and maintaining system documentation such as architecture, design, deployment plan etc.
- The candidate must have excellent technical skills and must be willing to learn
- new technologies on the go.
- Good at communication
- Good Exposure to Kafka and Redis
Salary Range - 15 to 25 LPA
Job Description
We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.
Responsibilities
- Build pixel-perfect, buttery smooth UIs across both mobile platforms.
- Leverage native APIs for deep integrations with both platforms.
- Diagnose and fix bugs and performance bottlenecks for performance that feels native.
- Reach out to the open-source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things.
- Maintain code and write automated tests to ensure the product is of the highest quality.
- Transition existing React web apps to React Native.
Skills - Firm grasp of the JavaScript language and its nuances, including ES6+ syntax
- Knowledge of object-oriented programming
- Ability to write well-documented, clean Javascript code
- Rock-solid at working with third-party dependencies and debugging dependency conflicts
- Familiarity with native build tools, like XCode, Gradle
- Understanding of REST APIs, the document request model, and offline storage
- Experience with automated testing suite
- Managing the solving of problems concerning the test automation infrastructure
- Understand and maintain Test Automation Frameworks.
- Follow the coding standards and code walk through.
- Maintain Automation Standards and Processes documentation.
- Write automated test scripts under the direction of the Test Automation Lead.
- Ability to work independently on tasks / modules assigned related to automation
- Monitoring of and reporting on the progress of the test automation process
- Reporting on the quality of the test object
- Raise risks on time and provide alternate solutions to mitigate the risk
- Advice and support for the implementation of all types of tools
Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using 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 strong experience 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 have a proven ability to drive business results with their data-based insights. 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.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
We are hiring for Inside Sales Positions in Simplilearn.
Must to have skills:
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Excellent Oral communication Skill (English).
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Experience in Inside Sales / Telesales (candidates from edtech companies preferred).
Educational Qaulification: Graduation is a must.
Employee Value Proposition:
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Great growth and learning opportunity.
-
Wonderful work environment.
-
Internal Job Posting
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Free courses for employees