QA Lead

Job Summary:

We are seeking a detail-oriented Sales Coordinator with a mechanical background to support our sales team in the transmission tower lines sector. The role involves managing client interactions, coordinating project activities, and ensuring smooth execution of sales processes.

Key Responsibilities:

• Client Coordination: Serve as the main contact for clients, handle inquiries, and manage relationships.
• Sales Support: Prepare proposals, quotations, and contracts. Track and follow up on sales leads.
• Project Management: Coordinate with internal teams to ensure project requirements and deadlines are met. Monitor project progress.
• Administrative Duties: Maintain project documentation, generate sales reports, and manage scheduling and travel arrangements.
• Market Research: Conduct market analysis and provide insights to support sales strategies.

Qualifications:

• Education: Bachelor's degree in mechanical engineering or related field.
• Experience: 2-3 years in a sales coordination or related role, preferably in the power transmission industry.

Bring Yourself Back to Work:

An initiative by Zemoso that helps experienced women technologists who are currently on a career break, resume their tech journeys.

Experience:

• As a software developer with at least 2 years of software development experience in preferably Java.

• Experienced women technologists who are currently on a career break, resume their tech journeys.

Skills Required:

• Clarity on OOPS, JAVA, Agile, Full Stack developer.

• Familiarity with any one server-side dev language, preferably Java

• Good to great professional skills including communication, interpersonal, problem solving & presentation skills

• Should be a team player

• Should be able to do code reviews

Essential to have:

• High and proven coordination skills to manage a team of 50 LDP members • Passionate about mentoring

• Ability to handle pressure

Responsibilities:

• Work closely with the Training Process Owner

• Go through our entire LMS and understand the different L&D tracks

• Liaise with the functional team in assessing trainees

• Track and monitor performance of all trainees

• Monitor records of all training activities maintained by HRBPs

• Attend team meetings and provide feedback on trainee’s process & progress

Get to know us better:

https://www.zemosolabs.com/zariya

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

About Us

Divami Design Labs is ranked as the #1 UX UI Design Agency in India on "Clutch.co". We have worked with 200+ clients across the globe and touched more than 50M+ people. We have been recently honored with the Web Excellence Award and the CII Design Excellence Award for our platform designs. With a passion for creating user experiences, we get our high by solving complex problems and hearing you utter 'WOW,' especially across verticals like Data Integration, FinTech, HealthTech, EduTech, HRMS, DevOps, Transportation, Supply Chain, Logistics, Travel, IoT, AR/VR, AI/ML, BPM/RPA, Low Code No Code platforms and more.

About This Role

We are looking for a dynamic architect-level MERN/MEAN Stack developer with leadership skills to motivate, inspire, bring the best out of the team and at the same time individually contribute himself/herself towards project delivery. 

 If you are :

• A tech enthusiast, if the opportunity to run a project excites you, 
• Revels in supportive work culture and
• Looking for an opportunity of working on multiple projects excites you then

THIS IS the job for YOU !!

Roles And Responsibilities

• 5 years of hands-on experience in working with MERN / MEANstack
• At Least 3 years of experience in leading a team size of minimum 3-4 members
• Excellent communication, client handling and crisis management skills
• Great debugging and problem-solving skills

Location

Gachibowli, Hyderabad

Field Sales, Revenue 💵 - PagarBook
( Temporary fulltime )

About Pagarbook:

1. Employee Management at your Fingertips. PagarBook - India's Best Payroll

and Attendance

2. Management tool for Small & Medium Enterprises. Using PagarBook, a

business owner can maintain all the records of their employees digitally

and can get insights around the same.

3. PagarBook is free & easy to use employee management, work & payroll

management software app where you can manage all your staff and

employee’s attendance, record the work done by your staff and employees

and their salary, payments & advances can also be recorded in this app.

4. Sms & WhatsApp notification to employees and staff about payments,

bonuses, daily work, attendance & leaves.

5. The Sales would be done for premium desktop version of the application

6. Benefits of desktop application:

a. Better and Easier accessibility, also available on mobile web

b. Access to rich reports which gives you business knowledge, spend

c. Unlimited free upgrades for a year

About Sales team:

The field sales team at PagarBook is all about solving SME’s customer problems

and ensuring we deliver compelling value propositions.

On a typical day, the sales team:

● drives the adoption of a premium version of Pagarbook, sold at a

subscription fee per annum

● never-say-no attitude, and comes with a win-all attitude

● At the same time, a core ingredient of the DNA is customer empathy

● We should always ensure the customer is well informed of all the benefits of

the solution, before we close the sales.

Responsibilities and Duties of sales associate:

● You will pitch about PagarBook desktop solution on field to customers

● You will explain the benefits of PagarBook desktop solution to customers

○ Better and Easier accessibility, also available on mobile web

○ Access to rich reports which gives you business knowledge, spend

○ Unlimited free upgrades for a year

● The users can register on the desktop for a free trial for 7 days first

● Sales associate would convert the customer into a paid customer

Mandatory requirements:

● Having your own bike is a must

● Field sales experience is a must (telecom, FMCG and financial sales

experience adds more weightage)

● Local language knowledge in the city of operations is a must

● Graduation in any field is sufficient

Benefits:

● Fixed salary (~15-18k a month)

● Targets based incentives (extremely attractive)

● Petrol allowance ~upto INR 3,000 (on actual bills)

● Initial job posting would be for 3 months - based on good performance,

conversion to full time employment would be granted

Key Areas of Responsibility (KRAs):

● Onboarding of Customers

○ Meet 30 new clients a day (tracked)

○ Get free trial enabled for 20 clients a day

○ Get 3 sales (paid customers, 10% conversion) per day -

non-negotiable output

● Retaining customer accounts

○ While we build new businesses, cross-selling would be key

○ Customers should keep using PagarBook desktop beyond 30 days of

activation

● Grow customer basket size

○ Identify key SME clusters in the city and prepare an acquisition plan

○ Go aggressive and acquire

● Business acumen & key skills

○ Strong knowledge on PagarBook sales process, services and product

○ Local Market and competition knowledge and clear articulation of

PagarBook advantages

○ Strong negotiation and influencing skills to create win-win

○ Give continuous feedback to internal teams to improve our

customer service level

Finally, remember, you are the PagarBook brand ambassador on the ground! All

the best.

Requirements for field sales - Phase 1 (50):

Madya Pradesh
Bhopal
Ahmedbad