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Job Description
We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.
What You’ll Do will include (But not limited to):
- Preparing datasets needed to train and validate our machine learning models
- Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
- Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
- Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
- Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
- Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
- Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
- Supporting solutions ranging from rule-bases, classical ML techniques to the latest deep learning systems.
- Partnering with cross-functional team members to bring large scale data engineering solutions to production
- Communicating your approach and results to a wider audience through presentations
Your Qualifications:
- Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
- Good knowledge of traditional machine learning methods and neural networks
- Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
- Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
- Ability to implement data import, cleansing and transformation functions at scale
- Fluency in Docker, Kubernetes
- Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
- Solid English skills to effectively communicate with other team members
Due to the nature of the role, it would be nice if you have also:
- Experience with large datasets and distributed computing, especially with the Google Cloud Platform
- Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
- Experience with No–SQL and Graph databases
- Experience working in a Colab, Jupyter, or Python notebook environment
- Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
- Knowledge of Java, Scala or Go-Lang programming languages
- Familiarity with KubeFlow
- Experience with transformers, for example the Hugging Face libraries
- Experience with OpenCV
About Egnyte
In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com
#LI-Remote
3+ years of experience of Workday FINS configuration experience, across 2+ Workday modules and
2+ deployments
Key responsibilities
Lead and support with design/requirements workshops
Confident in configuring workday with the ability to reference Workday Community for
clarity
Excellent problem solver
Ability to create effort estimates based on requirements
Wants to master additional modules of Workday
Support and mentor junior resource based in Portugal/UK
Achieve a high level of utilisation
Be consultative in their customer approach
KEY RESPONSIBILITIES:
- Collaborate with Project Manager or Project Consultant to develop front end of mobile and web application
- Delivering a complete front-end application
- Ensuring high performance on mobile and desktop
- Writing tested, idiomatic, and documented JavaScript, HTML and CSS
- Coordinating the workflow between the graphic designer, the HTML coder, and yourself
- Cooperating with the back-end developer in the process of building the RESTful API
- Collaborate with the stakeholders, the users, the build team and other development partners to implement state-of-the-art user experiences.
- Collaborate with cross-functional teams to analyze, design, and ship new features
- Participate actively in discussions, presentations and decisions about front end development, web application, mobile app etc.
- Act as the impulse by providing clear guidance to the team’s questions during implementation phases
- Implement new technologies to maximize application performance
- Work with outside data sources and APIs
- Work on bug fixing and improving application performance
KEY COMPETENCIES & SKILLS:
- Strong object-oriented JavaScript
- Flat box, material design concepts
- AngularJS, MVC frameworks – Angular
- CSS precompilers like Sass and LESS
- Skills in one or more chosen frameworks/libraries like jQuery or Bootstrap
- AJAX (Asynchronous JavaScript and XML)
- HTML 5, CSS Modules, Web pack, Babel, npm
- jQuery, jQueryUI, RequireJS, doT.js (Templating Engine)
- Able to integrate existing API (REST)
- Understanding of java web application technology stack (core Java, spring core, Spring MVC, Hibernate, REST)
- Git/GitHub, Continuous integration using maven & Jenkins
- Integrate applications with network systems, servers and databases.
- Troubleshoot problems with application development and use
- Excellent conceptual, and critical thinking capabilities
- Self-directed and self-motivated with the ability to take charge or play a supporting role
- Strong understanding of product development
- Clear written and verbal communications skills (English), including presentation skill
- Basic knowledge of Microsoft Office (Word, Excel and PowerPoint) is required.
Main tasks
- Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
- Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
- Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
- Implementation of installations of the solution especially in the container context
- Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
- Maintenance of the system installation documentation and implementation of trainings
Execution of internal software tests and support of involved teams and stakeholders
- Hands on Experience with Azure DevOps.
Qualification profile
- Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
- Experience in software
- Installation and administration of Linux and Windows systems including network and firewalling aspects
- Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
- Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
- Server environments, especially application, web-and database servers
- Knowledge in VMware/K3D/Rancer is an advantage
- Good spoken and written knowledge of English
At Anarock Tech, we are building a modern technology platform with automated analytics and reporting tools. This offers timely solutions to our real estate clients while delivering financially favourable and efficient results.
If it excites you to - drive innovation, create industry-first solutions, build new capabilities ground-up, and work with multiple new technologies, ANAROCK is the place for you.
Key job responsibilities
· Improve, execute, and effectively communicate significant analyses that identify meaningful trends and opportunities across the business
· Participate in meetings regularly with managers to assess issues and to identify and implement improvements for more-efficient operations
· Provide strong, timely financial and business analytics for decisions by partners and organizational stakeholders
- Negotiation and Cost-Benefit Analysis.
- Decision-Making Skills.
- Creation of Reports and Dashboards.
- Databases analyses.
- Understand Taxes and implications.
- Financial modelling.
- Able to write SOPs and execute processes.
- Analyse a business or organization, by documenting its systems and processes, assessing its business model, identifying vulnerabilities, and devising solutions.
Experience: 3+ years experience with a well-reputed firm.
Education: B Com; M.Com, MBA from a reputed college.
Skills that will help you build a success story with us
- Understanding the business objective.
- Analytical and critical thinking.
- Good with Outlook, Teams, Zoom, Excel and PowerPoint.
- Understand the basics of digital and offline marketing.
- Strong communication and interpersonal skills.
· You should be a good team player.
· Should be able to coordinate with onsite/ functional/development teams for project tasks.
· Must be dynamic with a strong sense of responsibility and a positive attitude.
· Stay up-to-date with new testing tools and test strategies
· Assist in defining new tools for use in quality assessment
We believe you are:
1. An innovator with intellectual curiosity and creativity
2. Adaptable, flexible and a professional with integrity
3. A good communicator with excellent verbal and written communication skills
4. Problem solver with detailed analytical and judgmental skills
5. An enthusiastic person in sharing knowledge with team members and
6. A good mentor for juniors in the team
Quick Glances:
· What to look for at Anarock
· Who are we A glimpse of Anarock Tech, know us better
· Anarock - Media – Visit our media page
Anarock Ethos - Values Over Value:
Our assurance of consistent ethical dealing with clients and partners reflects our motto - Values Over Value.
We value diversity within ANAROCK Group and are committed to offering equal opportunities in employment. We do not discriminate against any team member or applicant for employment based on nationality, race, color, religion, caste, gender identity/expression, sexual orientation, disability, social origin and status, indigenous status, political opinion, age, marital status or any other personal characteristics or status. ANAROCK Group values all talent and will do its utmost to hire, nurture and grow them.
Skills:-
Asp.Net, .Net Core, Web API,ASP.NET MVC, ReactJS,Jquery,Javascript,HTML
Desired profile
- Good verbal & written communication
- Proactive
- Flexible to working hours
- Good in team work as well as individual contributor
- Must be able to contribute to productivity in short time
Full Job Description
Decathlon is one of the world’s leading Sports goods retailers with the Motto of making sports accessible to over a Billion Indians!
To achieve this, we need a team of energetic, sporty team players we call,
SPORT LEADERS.
Sport Leader is an essential position to Decathlon that acts as a point of connection between Decathlon and its customers.
LOVE SPORT? CUSTOMER-FOCUSED? LOOKING FOR A RETAIL CAREER WITH A DIFFERENCE? IF YES, THIS COULD BE THE PERFECT ROLE FOR YOU!
As a Sports Advisor, your role is to ensure all customers leave our stores ‘satisfied or satisfied’. From a friendly and professional welcome through to a quick and easy payment process, your role is to always deliver a 5-star shopping experience. Decathlon heavily invests in the development of teammates so that those who want to build careers within the business are able to flourish within their roles. Whether you’re a student looking for a part-time role, or perhaps someone looking for a complete career change, Decathlon can cater to all.
OUR MISSION
To spread to wonders of sports to many
YOUR RESPONSIBILITIES
Customer Service: Through your own passion for sport, you’ll share your tips and experiences with users and through our hands-on product training, you will be able to give the best technical advice for the sports you are responsible for. Decathlon has shifted over the last year into an omnichannel business so it’s essential that our sports advisors are able to assist customers in all aspects of retail shopping, whether that’s in-store or online!
Merchandising: Whether full-time or part-time, every Omni Sports Leader is encouraged to take responsibility to autonomously manage stock levels and pricing and to provide a high level of merchandising so that each customer can easily find the right product for their sporting practice.
Team Player: You will be part of a shop floor team of like-minded Omni Sports Leaders, practicing sport and celebrating victories together, so it’s important that you are able to work well within a team environment as well as independently.
WHO YOU ARE?
Your passion drives you to create value for people, the planet, and commerce
I share the values of Decathlon on Vitality, Responsibility, Authenticity, Generosity Someone looking to combine a passion for sport with work.
A people person who is prepared to go the extra mile.
Someone looking for a retail career with a difference
Problem solver with good communication skills.
Able to play as part of the team during the busiest times (weekends and holidays)
Additional Information:
As a Sales Assistant, you will be required to work usual retail hours including evenings and weekends. The role will be shop-floor based with full Covid-19 safety regulations and precautions in place. The safety of our teammates and customers is our main priority during these times.
You will be autonomous in your work and will get to make the sport you love accessible to the many!
SPORT FOR ALL | ALL FOR SPORT.
Job Types: Full-time, Part-time, Regular / Permanent, Fresher
Part-time hours: 45 per week
Salary: ₹22,000.00 - ₹30,000.00 per month
Benefits:
- Health insurance
- Provident Fund
Schedule:
- Flexible shift
- Rotational shift
- Weekend availability
Supplemental pay types:
- Performance bonus
- Yearly bonus
- Manage, review & perform daily campaign responsibilities associated with Google Ads, Facebook Ads Manager, Bing Search etc. to meet business objectives.
- Plan, set up & manage all types of campaigns viz. Paid Search, Display, Performance Max, Discovery, App, etc. in Google Adwords.
- Optimise the campaigns on a daily basis, monitor & maintain key metrics like Impression Share, Quality Score, Campaign Budgets etc. in Google Search & Bing Search.
- Manage & optimize campaigns in Facebook Ads Manager, A/B test various audience targeting & creative optimization practices to come with the most suitable option to meet business objectives.
- Plan & execute direct performance campaigns with Publishers/Affiliates in alignment with business goals.
- Maintain & monitor, web & app analytics dashboards, reports & reporting tools. Generate & publish daily, weekly & monthly reports for all key metrics, goal & revenue tracking.
- Liaise with the Paid Digital agency to drive maximum output.
Key Qualifications :
- Bachelors/Masters in Media, Marketing, Technology, Engineering or related field.
- 3+ years of hands-on experience in Search Engine Marketing (SEM) & Pay-per-click (PPC) campaigns.
- Experience working on Google Adwords, Facebook Ads Manager & Google Analytics is a must.
- Understanding other Performance Marketing platforms like Google DV360, Amazon DSP, Bing Search, etc. will be an advantage.
- Knowledge & understanding of end to end online acquisition, lead generation, various campaign types, ad formats & channels that drive cost effective conversions is must.
Who Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!






