Industry Domain Lead – Retail/ CPG/ Insurance /Banking/ Automotive

Job Summary

Leads the general ledger function by directing a team to deliver accurate financial statements and ensure robust internal controls.

Key Duties:

1. Oversee GL operations and month end closing
2. Implement process improvements and controls
3. Coordinate internal/external audits
4. Ensure adherence to US GAAP and corporate policies

Tools:

Oracle/Dynamics 365, Excel, ERP systems, financial reporting tools

Qualification:

CA with 10–12 years post-qualification experience; proven team leadership (4–5 years supervisory experience); expertise in Oracle/Microsoft Dynamics 365; pharmaceutical industry experience is preferred.

Job Title:Sales Engineers

Location:Pune, Maharashtra

Job Type: Full-Time

Job Summary:We are seeking a highly motivated Technical Sales Engineer to join our team. This role combines technical expertise with sales skills to provide solutions to customers and drive business growth. The ideal candidate will be responsible for understanding customer needs, presenting technical solutions, and building strong relationships to ensure customer satisfaction.

Key Responsibilities:• Develop a deep understanding of the company’s products and services.

• Identify customer requirements and recommend appropriate technical solutions.

• Prepare and deliver technical presentations, proposals, and product demonstrations.

• Collaborate with the sales team to develop strategies for business development.

• Work closely with the engineering and product teams to provide customer feedback for product improvement.

• Assist customers with product selection, integration, and troubleshooting.

• Negotiate contracts, pricing, and terms to close deals successfully.

• Maintain relationships with existing clients and seek opportunities for upselling and cross-selling.

• Stay updated on industry trends, market developments, and competitors' products.

• Represent the company at trade shows, conferences, and networking events.

Qualifications & Skills:• Bachelor's degree in engineering is preferred.

• Proven experience in technical sales, sales engineering, or a similar role.

• Strong understanding of technical concepts related to manufacturing products

• Excellent communication, presentation, and negotiation skills.

• Ability to build and maintain customer relationships.

• Self-motivated, goal-oriented, and able to work independently.

• Willingness to travel to meet clients and attend industry events.

Preferred Qualifications:• Experience in the Manufacturing industry

• Previous experience working with B2B sales

• Experience with Sheetmetal & Fabrication is a plus.

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

We are seeking a professional and courteous female front desk receptionist to join our team. The ideal candidate will be the first point of contact for our company, providing exceptional customer service and administrative support. The front desk receptionist will greet visitors, answer incoming calls, and perform various administrative tasks to ensure the efficient operation of the office.

Key Responsibilities:

1. Greet and welcome visitors in a professional and friendly manner.
2. Answer incoming telephone calls, determine the purpose of calls, and forward calls to appropriate personnel or departments.
3. Manage the reception area, including keeping it clean and organized.
4. Maintain a neat and orderly front desk area, ensuring all necessary supplies are stocked.
5. Schedule appointments and maintain calendars for conference rooms and meeting spaces.
6. Assist with various office tasks as needed, including mail distribution and package handling.
7. Handle inquiries from clients, customers, and the public in a timely and professional manner.
8. Ensure compliance with company policies and procedures.
9. Perform other duties as assigned by management.

Qualifications:

1. A high school diploma or equivalent is required; an associate’s or bachelor’s degree is preferred.
2. Prior experience in a customer service or administrative role is preferred.
3. Excellent communication and interpersonal skills.
4. Professional appearance and demeanor.
5. Strong organizational skills and attention to detail.
6. Ability to multitask and prioritize tasks in a fast-paced environment.
7. Proficiency in Microsoft Office Suite (Word, Excel, Outlook).
8. Familiarity with office equipment, such as multi-line phone systems and printers.
9. Ability to maintain confidentiality and exercise discretion when handling sensitive information.

Regards

Harsh Porwal

mail your resume on

harsh at spay.live

While the role will vary depending on the company and the industry, you might expect your tasks to include:

. Identifying opportunities in target markets for your organization’s products and services

· Generating leads through cold calling prospective clients or networking at trade shows.

· Developing and nurturing relationships with key customer accounts.

· Keeping up with the latest industry developments, including market positioning of corporate competitors.

·  Assessing client needs and the company’s ability to meet those needs.

· Following up with new leads and referrals generated from the sales team.

· Preparing status reports on goals.

· Using customer relationship management (CRM) software, such as Salesforce, to manage interactions.

Role – SDET

Experience – 4+ years

Location - Bengaluru

Key Skills - API test automation, Java, Rest Assured

• Minimum 3+ years of API test automation experience

• Strong Programming experience on Java using OOPs, collections, exception handling, and strong debugging skills

• Strong testing and test design skills like scenario identification, test case identification, defect identification with a focus on test coverage

• Strong experience in testing of API / webservices

• Excellent experience and skill in the development of API test automation suites using Rest Assured

• Good experience of working on Jenkins and other CI-CD tools

• Knowledge of Dockers

• Strong knowledge of SQL and experience in database testing is desirable

• Good communication skills (verbal and written) is a must