SaaS Sales Executive

Data Engineer  

Overview 

We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making. 

Our core data platform stack includes: 

Data Platform & Lakehouse 

• Databricks as the single point of truth for all data
• Realtime Data Pipelines implemented using Kafka for data ingestion.
• Databricks SQL for analytical queries 
• Unity Catalog for metadata management and governance 
• Terradata for data warehouse and business intelligence.

Stream & Event Processing 

• Apache Kafka for real-time event ingestion 
• Structured Streaming for continuous data processing 
• Delta Live Tables for declarative, quality-enforced pipelines  

Data Quality 

• Delta Live Tables expectations for data validation 
• Data profiling and anomaly detection 

Key Responsibilities 

• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake 
• Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
• Implement data transformations that serve digital twin platforms and operational analytics 
• Integrate Kafka event streams with Databricks for real-time operational state updates 
• Implement data quality checks using Delta Live Tables expectations 
• Ensure data governance compliance through Unity Catalog (lineage, access control, metadata) 
• Optimize pipeline performance, reliability, and cost efficiency 
• Write clean, well-documented, and testable code following engineering best practices 
• Collaborate with ML engineers to deliver feature-engineered datasets 
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives 
• Support production data systems through monitoring, troubleshooting, and incident resolution.
• Build business data warehouse solutions using Terradata for business intelligence.

Preferred Qualifications 

• 7+ years of hands-on data engineering experience 
• Track record of building and maintaining production-grade data pipelines 
• Experience with Delta Live Tables for declarative pipeline development 
• Experience working in agile, cross-functional teams 
• Familiarity with time-series data patterns and operational data modelling 

Highly Desirable 

• Experience building data pipelines for digital twin or simulation platforms 
• Familiarity with operational state modeling for real-time systems 
• Exposure to physics-informed or time-series ML feature engineering 
• Experience working with distributed, multidisciplinary teams 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time

Job Details

- Job Title: ML Engineer II - Aws, Aws Cloud

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 6-12 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description:

Core Responsibilities:

? The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency

? Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.

? Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.

? Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.

? System Integration: Integrate models into existing systems and workflows.

? Model Deployment: Deploy models to production environments and monitor performance.

? Collaboration: Work closely with data scientists, software engineers, and other stakeholders.

? Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

? Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).

? Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph

? Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.

? Knowledge of model monitoring and performance evaluation.

Required experience:

? Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements

? AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in

ML workflows

? AWS data: Redshift, Glue

? Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Aws, Aws Cloud, Amazon Redshift, Eks

NP: Immediate – 30 Days

Key Responsibilities:

• Lead and manage the legal department.
• Provide legal advice to the board, senior management, and various departments on corporate matters.
• Draft, review, and negotiate commercial contracts, agreements, and other legal documents.
• Ensure the company complies with all applicable laws, regulations, and industry standards.
• Represent the organization in legal proceedings, arbitrations, or negotiations; manage external legal counsel when required.
• Monitor changes in legislation and assess their impact on the business.
• Handle legal aspects of mergers, acquisitions, partnerships, and other strategic deals.
• Manage legal risks and develop policies and procedures to reduce potential exposure.

Requirements:

• Bachelors or Master’s degree in Law (LLB/LLM).
• Minimum 8-10 years of relevant experience, preferably with exposure to corporate and commercial law.
• Strong leadership, negotiation, and analytical skills.
• Excellent written and verbal communication skills.
• Proven ability to work in a fast-paced, dynamic environment and support business growth while ensuring legal integrity.

The Gynaecologist Consultant plays a crucial role in providing specialized medical care and treatment to patients, focusing on reproductive health and wellness. They are responsible for diagnosing and treating various gynaecological conditions, performing surgical procedures when necessary, and offering comprehensive care to pregnant women. Their expertise is vital in ensuring the overall well-being of women at different stages of life.

Key Responsibilities:

• Evaluating and diagnosing gynaecological conditions and disorders.
• Performing surgical procedures such as hysterectomies, laparoscopies, and cesarean sections.
• Providing prenatal care and monitoring pregnant patients throughout their pregnancies.
• Ordering and interpreting diagnostic tests and medical imaging.
• Developing and implementing treatment plans, including medications and therapies.
• Consulting and collaborating with other healthcare professionals, such as obstetricians, oncologists, and urologists.
• Conducting routine check-ups and screenings for patients.
• Offering counselling and guidance on reproductive health, contraception, and family planning.
• Keeping detailed and accurate medical records of patients' diagnoses, treatments, and outcomes.
• Participating in medical research and staying updated with advancements in gynaecology.
• Providing education and support to patients and their families.
• Adhering to medical ethics and legal regulations in healthcare practices.
• Participating in multidisciplinary team meetings and conferences.
• Contributing to the training and supervision of medical staff and interns.
• Ensuring a compassionate and patient-centered approach in all aspects of care.

Required Qualifications:

• Doctor of Medicine (MD) degree from an accredited medical school.
• Board certification in Obstetrics and Gynaecology.
• Licensure to practice as a Gynaecologist in the relevant state or country.
• Proven experience as a Gynaecologist Consultant in a hospital or clinical setting.
• Proficiency in performing gynaecological surgeries and procedures.
• Strong knowledge of reproductive medicine, infertility, and menopausal management.
• Excellent interpersonal and communication skills for patient care and collaboration with medical colleagues.
• Ability to handle high-pressure situations with empathy and professionalism.
• Commitment to continuous learning and staying abreast of medical advancements.
• Understanding of medical ethics, patient confidentiality, and informed consent.
• Experience with electronic medical records (EMR) and healthcare information systems.
• Ability to work effectively within a diverse healthcare team.
• Attention to detail and strong analytical skills for accurate diagnosis and treatment planning.
• Willingness to work flexible hours, including on-call shifts and weekends.

Job description:

Job Title: Sales Associate (B2B – SaaS / AI Solutions)

Location: Gurgaon

Department: Sales

About the Role

We are looking for a proactive and detail-oriented Sales Associate to support our B2B sales efforts for SuperBot. This role involves engaging with prospective clients, delivering product demonstrations, managing client relationships, and ensuring smooth post-sales operations. The ideal candidate will act as a bridge between clients and internal teams, ensuring both business growth and customer satisfaction.

Key Responsibilities1. Lead Engagement & Prospecting

• Act as the first point of contact for prospective B2B clients
• Qualify inbound and outbound leads based on business requirements
• Understand client needs and align them with product capabilities

2. Product Demonstrations

• Schedule and conduct clear, structured product demos
• Deliver compelling technical walkthroughs showcasing SuperBot’s value proposition
• Address client queries and objections effectively

3. Account Management & Retention

• Build and maintain strong relationships with existing clients
• Serve as a primary point of contact for day-to-day client requirements
• Ensure high levels of customer satisfaction and engagement

4. Financial Operations

• Manage post-sales activities including billing and invoicing
• Track payments and follow up proactively on outstanding dues
• Coordinate with internal teams to ensure accurate financial records

5. Churn Mitigation & Escalation

• Monitor account health and identify early signs of client dissatisfaction
• Take proactive steps to resolve issues and reduce churn
• Escalate critical concerns to the Client Success Manager (CSM)
• Support resolution by coordinating between client expectations and internal capabilities

6. Internal Liaison

• Act as a communication bridge between clients and internal teams
• Translate client feedback into actionable insights for the Tech team
• Contribute to improving AI conversation flows and overall product performance

Required Skills & Qualifications

• Bachelor’s degree in Engineering, Business, Marketing, or any related field
• 1–3 years of experience in B2B sales, SaaS, or client-facing roles, along with hands-on experience in post-sales operations such as billing, invoicing, and payment follow-ups.
• Strong communication and presentation skills
• Ability to understand technical products and explain them clearly
• Good organizational and follow-up skills
• Problem-solving mindset with attention to detail

Preferred Skills

• Experience in SaaS / AI / Voicebot solutions
• Familiarity with CRM tools and sales pipelines
• Basic understanding of client success and retention strategies

What We Offer

• Opportunity to work with cutting-edge AI solutions
• Dynamic and growth-oriented work environment
• Exposure to end-to-end sales and client lifecycle management

Job Type: Full-time

Benefits:

• Cell phone reimbursement
• Flexible schedule
• Health insurance
• Life insurance
• Paid sick time
• Paid time off
• Provident Fund

Application Question(s):

• This role would require a F2F interview post initial telephonic discussion, Would you be available for the same?
• If you get shortlisted for this role, How soon would you able to join the organisation?

Education:

• Bachelor's (Required)

Experience:

• IT Sales/B2B Sales: 1 year (Required)

Data Analyst

Job Description

Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.

At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.

Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.

• Experience in building highly cost optimised data analytics solutions
• Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
• Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
• Experience in working with AWS or GCP
• Experience with relational and NoSQL databases
• Experience to full stack web development (Preferably Python)
• Expertise with data visualisation systems such as Tableau and Quick Sight
• Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
• Familiarity with ML/AÍ technologies is a plus
• Demonstrate strong understanding of development processes and agile methodologies
• Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly

Data Analytics is at the core of our work, and you will have the opportunity to:

• Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
• Lead quick prototypes by integrating data from multiple sources
• Do advanced Business Analytics through ad-hoc SQL queries
• Work on Sales Finance reporting solutions using tableau, HTML5, React applications

We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.

Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..

A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.

We are looking for a Sales Rock Star (Business Development Executive)

Bizpole is a Startup Accelerator and Corpo-Legal Service Provider engaged in helping realize the startup dreams and strategize the concepts into a successful venture without any failures. We are the one-stop solution for all Business Startups.

Are you?

• Passionate about talking to people
• Great decision maker
• Friendly yet Professional
• Sort out Customers issues and leave them delighted
• Love to build a carrier in business consultation
• Think strategically about business

We are looking for you.

What you get….

• Friendly Work Environment
• Highly attractive salary plus commission
• New opportunity to learn and improve your leadership skills

Job Role:

• You should qualify leads into prospects over the phone and send proposals by email.
• Cold Calling prospects regarding our Corporate Solutions product
• Outbound calling on data collected through lead generation activities / secondary data sources
• Daily follow-ups on older leads and work on new leads
• Must be energetic, well-spoken, eager to close sales deals and generate revenue for the organization.
• Good customer service skills and a presentable personality are expected.
• Fresher who are enthusiastic about a career in sales are also welcome for trainee positions.

Communication

Ability to [Speak, Read & Write] Good Kannada, English & others This is Mandatory

Salary - Emoluments will be in two parts Fixed and Variable. - Fixed will be offered around

Location: Bangalore

• Foster New Relationships with Taxi Operators, Taxi Drivers, Automobile OEM Partnership, Educate them @ the Mobile App/Software Offerings & Benefits, to convert them into signing up for the taxi application
• Maintain Existing relationships & maintain healthy nature of business to generate the Referral programs with Travel agencies and Consolidators
• Handling the Business Development activities in his/her area, assigned
• Identify & Develop Business Opportunities for product solutions for tie-up in terms of large groups of Taxi man, Selling salient points & get them to enrol along with other taxi friends of them, whilst driving things in very social & friendly manner
• Providing training on Mobile app interface and managing its implementation
• Identify opportunities to sell product & solutions in order to generate revenue for the organization by presenting new/existing products and services and enhance existing relationship
• Ensure optimum usage of the Mobile app provided to Taxi fellows & give them basic training of the mobile app to make them understand & increase the usage pattern
• Making Daily sales calls to get to the taxi people and engage with them in formal & informal way for adoption of the mobile app
• Organise small training session in office to get them more understanding
• Introducing VAS services like paying taxes, insurance, RTO regulatory paper filling & take them to centre/offices for guidance
• Encourage them to make more enrolment & design a referral program new products and functionalities on the applications of existing clients / OLTAs.
• Should be able to find new avenues & targets for finding new Taxi Operators by tie-up with Existing Database, cull out from internet the required churn of new people to call & meet them personally
• This is sales with personal driven strategy to achieve required set of targets & maintain relationship with them as well
• Solve queries of existing drivers & encourage them to resolve other queries when they are fully equipped
• Organise multiple training programs, Learning Workshops, Complaint of Mobile app for increasing overall business from exiting & new mobile app signup
• Ensuring effective achievement of targets and preparation of reports.
• Preparing and giving sales presentations to prospective customers. 
• Monitoring industry trends as well as competition.