Subject Matter Expert (HR)

Main duties/responsibilities

• Design & implement good quality software and databases as per the software specification.
• Participate in effort estimations.
• Participate in design discussions and own module designs.
• Effective troubleshooting of technical issues and bugs.
• Package deployment and release management.
• Provides technical support to customers.
• Provides training and guidance to the new developers and junior team members.
• Participate in Requirement discussions.
• Participate in Project related meetings if required.

Technical Knowledge

• Hands on experience in Angular ,HTML5, CSS3, JavaScript.
• Hands on experience in Node.js.
• Knowledge of how to interact with RESTful APIs and formats (JSON, XML)
• RDBMS and Document Database.
• Hand on experience in AWS services, DevOps, GIT, Agile and Jira will be an added advantage.

Experience

• 2-5 years of experience in the relevant field.

Skills: Gas/steam Turbine, Aero Engine, UG NX/NX, GD&T– All these skills are must in resume.

Domain: Look CVs in Aerospace Industry

Location: HYD

Experience: 2+ years

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

• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation

Responsibilities for Staff Engineer role:

• Having experience in Java along with Springboot, Micorservices, RDBMS
• Experience required: 6yrs to 8 yrs.

Job Title: Product Manager

Job Description

Bachelor or master’s degree in computer science or equivalent experience.
Worked as Product Owner before and took responsibility for a product or project delivery.
Well-versed with data warehouse modernization to Big Data and Cloud environments.
Good knowledge* of any of the Cloud (AWS/Azure/GCP) – Must Have
Practical experience with continuous integration and continuous delivery workflows.
Self-motivated with strong organizational/prioritization skills and ability to multi-task with close attention to detail.
Good communication skills
Experience in working within a distributed agile team
Experience in handling migration projects – Good to Have
 

*Data Ingestion, Processing, and Orchestration knowledge

Roles & Responsibilities

Responsible for coming up with innovative and novel ideas for the product.
Define product releases, features, and roadmap.
Collaborate with product teams on defining product objectives, including creating a product roadmap, delivery, market research, customer feedback, and stakeholder inputs.
Work with the Engineering teams to communicate release goals and be a part of the product lifecycle. Work closely with the UX and UI team to create the best user experience for the end customer.
Work with the Marketing team to define GTM activities.
Interface with Sales & Customer teams to identify customer needs and product gaps
Market and competition analysis activities.
Participate in the Agile ceremonies with the team, define epics, user stories, acceptance criteria
Ensure product usability from the end-user perspective

Mandatory Skills

Product Management, DWH, Big Data

MyClassCampus is a product based SaaS Company from Ahmedabad providing ERP Solution to the EdTech Industry.

We are hiring QA Engineer

The Job Description is as follows:

#QualityAnalyst #QualityAssurance #ManualTester #QA #QC #Tester #IT

#Exp: 6 Months to 1.5 years

#Skill: #Manual_Testing

● Experience in testing web and mobile apps, ERP websites testing.

● Review and analyze system specifications

● Collaborate with Senior QA to develop effective strategies and test plans

● Execute test cases (manual) and analyze results

● Report bugs and errors to development teams

● Conduct post-release / Post-implementation testing

#Reason_to_join_us: * Good hike on current CTC

* Friendly Environments + Supportive staff

* Lots of celebrations of festivals and birthday

* Growing 5+ years old Product-based IT company

I'm the founder of Version One Labs (look me up on LinkedIn) and I want you to work with me on an interesting new idea!

I was previously Director of Engineering at Crunchbase, led product and engineering at Oncue (venture-funded B2B SaaS) and have built products at multiple bay area startups. I run a product development studio, Version One Labs, that works with startups here in California. The website is a bit out of date but I’m currently working with a few exciting startups to help them with their product dev efforts.

This role is for a different mission though. I am currently in the early stages of building our first internal product and am looking for 2-3 scrappy, driven, and sharp developers who are interested in working on exciting ideas and build products from the ground up. 

You will learn a lot in the process.  If you have startup dreams of your own and are interested in some day doing your own thing, I strongly believe this experience + the wealth of knowledge I can share with you could be invaluable for you.

Here's what I'm looking for:

- you must be highly proficient with React (typescript, redux etc etc) or Rails (strong database design, clean code, and API building skills). I will check for your fluency with both.

- you enjoy the process of building something from scratch and don't require a ton of hand holding, i.e., you are self-driven

- you like the autonomy and freedom of working on early stage stuff and can manage your own time (I don't boss around and like working with people who I don't have to manage too much)

- you have utmost integrity (tell me what you don't know and deliver what you say you will, when you say you will)

- you are willing and open to new ideas and are a fast learner

If this is appealing to you, please apply. I respond quickly.