Executive / Sr. Executive - Retail Business Management

Relationship Manager – Insurance Sales.

Identifying, recruiting, and onboarding new agents - POSP, ensuring they meet company standards and are properly trained. 

Achieving Sales Target

Providing ongoing training and development opportunities for agents, including product knowledge, sales techniques, and professional skills. 

Guiding agents in achieving sales targets, developing sales strategies, and identifying new business opportunities. 

Building and maintaining strong relationships with agents, providing support and addressing their needs. 

Tracking agent performance, identifying areas for improvement.

Developing and implementing strategies to grow the agency channel, expand market share, and increase profitability. 

Serving as a point of contact between the agency and the company, coordinating with various departments to support the agent network. 

Required skills

• Proven working experience as an Insurance Agent or relevant experience from Insurance Broking Industry
• Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc)
• Basic computer knowledge and statistical analysis

🚀 We Are Hiring: Data Engineer | 4+ Years Experience 🚀

Job description

🔍 Job Title: Data Engineer

📍 Location: Ahmedabad

🚀 Work Mode: On-Site Opportunity

📅 Experience: 4+ Years

🕒 Employment Type: Full-Time

⏱️ Availability : Immediate Joiner Preferred

Join Our Team as a Data Engineer

We are seeking a passionate and experienced Data Engineer to be a part of our dynamic and forward-thinking team in Ahmedabad. This is an exciting opportunity for someone who thrives on transforming raw data into powerful insights and building scalable, high-performance data infrastructure.

As a Data Engineer, you will work closely with data scientists, analysts, and cross-functional teams to design robust data pipelines, optimize data systems, and enable data-driven decision-making across the organization.

Your Key Responsibilities

Architect, build, and maintain scalable and reliable data pipelines from diverse data sources.

Design effective data storage, retrieval mechanisms, and data models to support analytics and business needs.

Implement data validation, transformation, and quality monitoring processes.

Collaborate with cross-functional teams to deliver impactful, data-driven solutions.

Proactively identify bottlenecks and optimize existing workflows and processes.

Provide guidance and mentorship to junior engineers in the team.

Skills & Expertise We’re Looking For

3+ years of hands-on experience in Data Engineering or related roles.

Strong expertise in Python and data pipeline design.

Experience working with Big Data tools like Hadoop, Spark, Hive.

Proficiency with SQL, NoSQL databases, and data warehousing solutions.

Solid experience in cloud platforms - Azure

Familiar with distributed computing, data modeling, and performance tuning.

Understanding of DevOps, Power Automate, and Microsoft Fabric is a plus.

Strong analytical thinking, collaboration skills, Excellent Communication Skill and the ability to work independently or as part of a team.

Qualifications

Bachelor’s degree in Computer Science, Data Science, or a related field.

Role: HR Generalist

Location: Mumbai

Full-time

About the company we are hiring for:

Our client believes in “the power of collaboration”, hence we are on a mission to consolidate the fragmented manufacturing base in Indian specialty chemicals segment. We are a full stack supplier of specialty chemicals and intermediates. Reliability, quality and affordability are the three pillars of our core values.

Today, they are having a combined manufacturing capacity of ~ 5000 MTPA where over 50 chemicals are getting produced for various end industries i.e., personal care, pharma APIs, polymers, fragrances, agriculture etc.

With presence across diverse specialty chemical value chains and multiple production facilities, Mstack is a one of a kind and highly reliable one stop shop supplier to customers across globe.

It has been funded by global Tier-1 venture capital fund (Lightspeed Venture Partners - $10B+ AUM fund and early investors in Oyo, Byjus, Udaan) and have several renowned thought leaders and opinion shapers from the chemicals industry as advisors.

Job description:

Recruitment:

Job description:

Recruitment:

• Designing and updating job descriptions

• Sourcing potential candidates from various online channels

• Advertise job openings on company's LinkedIn profile, Social Media, Job portals and internally -

Screen incoming resumes and application forms and interview candidates

• Coordinate with the hiring Managers for the qualified/ shortlisted candidates

• Send job offers and answer queries about compensation and benefits

• Collaborate with Managers to identify future hiring needs

• Act as a consultant to new hires and help them onboard

Operations:

• Monitor internal HR systems, processes and databases

• Act as a consultant to the employees and Managers regarding policies and procedures - Address

employee queries

• Work closely with the finance team on payroll

• Manage employee onboarding, training and induction in tandem with the Managers

• Maintain all personnel files

• Oversee performance evaluation procedures

• Manage employee leaves as per the company policies and procedures - Initiate employee

engagement activities along with the Admin team

• Keep up to date with the latest HR trends and practices

Requirements:

• 3+ years of proven experience in the required field

• Understanding of general human resources policies, procedures, labor laws and compliances -

Good written and spoken communication skills

• Aptitude for problem-solving

Confidential

• Good knowledge of MS office

• Attention to detail

Experience : 2 to 4.5 Years

BE/Btech (EEE,EC) ME/Mtech (EEE/EC)

• Strong knowledge in Embedded C, C programming

• Should have knowledge on Microcontroller / Microprocessor, ARM architecture, Memory Subsystem 

• Knowledge of communication protocols like I2C,SPI, UART, CAN ,USB, PCIE, GPIO programming 

• Good Handson Knowedge in Linux Device Driver , Debugging, System Architecture 

• Experience / good knowledge in developing boot loader, bare metal low level device drivers, testing and debugging the issues.

• Good knowledge / experience at least in one project in UBOOT, Linux device driver and BSP configuration and development in Yocto / Buildroot/ Busybox environment

• Knowledge on Linux based product development, hands-on with at least one project based on Linux with any Application Processor (MPU) 

• Embedded domain with good knowledge and hands-on of 32 bit microcontrollers (preferably Arm Cortex MO/M4/M7) 

• Should possess very Good Aptitude and Strong problem solving skills

10

• Competitive salary

• Health insurance

• Professional development opportunities

• Collaborative and innovative work environment

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

• Experience in managing medium to large scale application project from beginning to end, with skills in requirement study and functional/detail design, QA, testing, and software change/version control management is advantageous

• Expertise in application development, and familiar with C#, Asp.net, jQuery, Webservice (REST/SOAP), Microservice, WCF
• Basic Equities Trading product knowledge is expected
• Familiarity with Equities/trade processing experience is an advantage
• Strong analytical and problem-solving skill is a must
• Ability to work under pressure, handle multiple tasks and work to tight deadlines.
• High sense of ownership of task assigned, deliver applications with high quality and efficiency.
• Good communication, inter-personnel skills is required
• Team player with strong interpersonal and communications skills
• Looking for 4 – 8 years’ experience in .NET