Content Writer

#masstort specialist!

We're looking for an experienced professional to handle complex masstort litigation, manage multiple cases, and effectively communicate with clients. Your expertise will be crucial in navigating intricate legal issues and achieving successful outcomes. If you have a strong background in masstort law, excellent organizational skills, and a passion for justice, we want to hear from you. This is a fantastic opportunity to make a significant impact and grow your career in a dynamic and supportive environment.

About us:

Arista Networks was founded to pioneer and deliver software driven cloud networking solutions for large datacenter storage and computing environments. Arista's award-winning platforms, ranging in Ethernet speeds from 10 to 400 gigabits per second, redefine scalability, agility and resilience. Arista has shipped more than 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Committed to open standards, Arista is a founding member of the 25/50GbE consortium. Arista Networks products are available worldwide directly and through partners.

About this role:

• You will be working with the WiFi team at Arista, developing cutting edge and next generation WiFi solutions in a fast-paced environment. The WiFi team is responsible for the end to end development of the Cloud managed WiFi product portfolio of Arista. This specific position is for the WiFi AccessPoint team.
• As a core member of the AccessPoint team, you will be working closely with relevant teams to understand product requirements, design the solution, build the software and deliver it for final validation and customer deployment.
• You will also keep track of new and emerging technologies and their impact on Arista products, come up with new and innovative ideas to improve and differentiate the product and help Arista become a leading player in the Campus space.
• You will work closely with sales and support teams to push new solutions, understand customer needs and pain points and help resolve escalations.
• You will not be limited to a single aspect of the product, it will be broad encompassing many different aspects including but not limited to developing new Access Points, designing and implementing new features, tracking new technologies and working closely with the sales and customer teams.

Requirements:

• Strong engineering and Computer Science fundamentals

• Expected to have a strong background in software development and good understanding of systems and networking areas with the knowledge of the WiFi area as an added bonus.

• Minimum 4+ years of relevant experience

• Well versed with programming in one of C/C++ languages

• Experience working in a Linux environment, developing applications or Linux drivers

• Proven experience in any of the below:

1. Network device drivers, operating system internals, Kernels, compilers, SOC architecture
2. Experience in developing Wi-Fi features (802.11), WLAN MAC Protocol, system integration, evaluate various performance parameters.
3. User space development for connectivity related products (Wireless Lan access points/ controllers, networking equipment) in one or more of following areas:

• HostAPD, Portal, RADIUS, AAA, Identity and role management, Radsec

• Tunnels, Firewall, Iptables, Flow Classification, QoS, TLS, DTLS Preferred Skills

• Experience with Wi-Fi device drivers on Linux.

• Hands-on experience in working with one or more WIFI chipset platforms

• Good System Level understanding of the Wireless AP functionality

• Experience in developing Wi-Fi features, system integration, evaluate various performance parameters

Resources:

• Arista Cognitive WiFi : https://www.arista.com/en/products/cognitive-wifi https://youtu.be/cT1INdR-xHQ https://www.youtube.com/watch?v=olPkCOT3MdA
• Arista Cognitive WiFi Datasheet: https://www.arista.com/assets/data/pdf/Datasheets/CloudVision-Wifi-Datasheet.pdf
• Arista's Approach to Software with Ken Duda (CTO): https://youtu.be/TU8yNh5JCyw
• Additional information and resources can be found at https://www.arista.com/en/

VP engineering would be leading the technology (engineering) team of 25 (and counting) to build a world-class SAAS product that is serving 7000+ businesses (or 50,000 users) across the globe. The person would be responsible to oversee the product development and technology research ensuring scalability and effectiveness. The core role would involve leading development, managing team & processes leading to effective technology products as an outcome.

The person would be responsible for leading the product development to scale to a million businesses over the next ten years or 25K businesses in the next 3 years. The person should be able to build a team & process accordingly to ensure a smooth growth path for the product and company. The mission would be to build fully horizontal architecture & micro services with robust security.

• Leading the technology development by learning and researching the best upcoming technology. Analyzing current technology gaps in the system and evangelizing for better state of art technology development.

• Evaluating technology architecture, gaps, and improvisation requirements. Building new architectures for further product development along with elaborated documentations.

• Leading the team of software engineers to guide them with the best technology and process practices. Coaching and motivating the team to ensure enhanced performance across teams. 

• Engaging with Product teams to shape the product roadmap. Working with the tech support team to analyze open issues and bugs and ensure an efficient process for fixing the same.

• Building processes for product development, security audits, new recruitment, technology research, technical documentation, etc. 

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

Roles and Responsibilities

Looking for young and aggressive candidates who would like to build their career in the field of software sales.

As an Inside Sales, the following are the main responsibilities:

• Creating, maintaining a list/database of prospective clients (Data mining)
• Generate leads and identifying the potential requirements at educational organizations
• Coordinate with the Technical & Operations Team to onboard new clients,
• Manage all existing and new accounts in a designated sales territory, ensuring clients needs are met
• Develops and executes sales presentations to potential clients
• Maintaining and updating CRM with last known status of leads, appointments
• Accurate reporting on leads, forecasting, and KPI
• Meet weekly & monthly targets

Required Skills & Experience:

• Action and results-oriented attitude.
• Capable of developing a strong business case for the potential clients
• Experience using MS Word, Outlook, PowerPoint & Excel.
• Good Communication skills (written & verbal) and a positive attitude

Perks and Benefits

Performance benefits & Incentives