
Job Title: Telecaller
Experience Required: 1 to 2 years
Location: Bhopal
Job Summary:
We are looking for an experienced Telecaller with excellent communication skills, proficiency in MS Excel & Word, and prior experience in telecalling. The candidate will be responsible for handling outbound/inbound calls, maintaining records, and ensuring customer satisfaction.
Key Responsibilities:
- Make outbound calls to potential and existing customers.
- Answer incoming calls and resolve customer queries.
- Provide accurate information about products/services.
- Maintain call records, customer details, and follow-up status in Excel/Word.
- Achieve daily/weekly/monthly call and conversion targets.
- Build and maintain good customer relationships.
- Work closely with the sales/support team for smooth operations.
Required Skills:
- Minimum 1 years of telecalling/inside sales experience.
- Strong verbal and written communication skills (English/Hindi/).
- Proficiency in MS Excel & MS Word.
- Ability to handle customer objections and provide solutions.
- Target-driven, confident, and self-motivated.
Qualifications:
- Graduate/12th Pass (with relevant experience).
- Prior experience in telecalling, customer service, or sales preferred

About Capace Software Private Limited
About
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Role & Responsibilities
About the Role:
We are seeking a highly skilled Senior Data Engineer with 5-7 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in data warehouse architecture, data modeling, ETL processes, and building both batch and streaming pipelines. The candidate should also possess advanced proficiency in Spark, Databricks, Kafka, Python, SQL, and Change Data Capture (CDC) methodologies.
Key responsibilities:
Design, develop, and maintain robust data warehouse solutions to support the organization's analytical and reporting needs.
Implement efficient data modeling techniques to optimize performance and scalability of data systems.
Build and manage data lakehouse infrastructure, ensuring reliability, availability, and security of data assets.
Develop and maintain ETL pipelines to ingest, transform, and load data from various sources into the data warehouse and data lakehouse.
Utilize Spark and Databricks to process large-scale datasets efficiently and in real-time.
Implement Kafka for building real-time streaming pipelines and ensure data consistency and reliability.
Design and develop batch pipelines for scheduled data processing tasks.
Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver effective data solutions.
Perform data analysis and troubleshooting to identify and resolve data quality issues and performance bottlenecks.
Stay updated with the latest technologies and industry trends in data engineering and contribute to continuous improvement initiatives.
Education:
•Bachelor’s degree in Computer Science, IT Infrastructure Engineering, or a related field
•Certifications in cloud computing (AWS, Azure, GCP), MLOps, or DevOps (preferred)
Experience:
•8+ years of experience in IT Infrastructure, Cloud Computing, or AI Systems Architecture
•Hands on experience in AI infrastructure design, cloud-based AI solutions, or MLOps
•Expertise in managing AI workloads across cloud and hybrid environments.
•Proven track record in scaling AI infrastructure for large enterprises
•Strong experience in Kubernetes, containerization, and orchestration tools
•Experience in optimizing AI workloads for performance and cost efficiency
Skills :
•Expertise in AI Infrastructure & Cloud Architecture
•Strong Understanding of AI Model Deployment & MLOps
•Advanced Proficiency in Kubernetes & AI Workload Orchestration
•Hands-on Experience with Cloud Platforms (AWS, Azure, GCP)
•Proficiency in Infrastructure as Code (Terraform, Ansible)
•AI Security & Compliance Knowledge
•AI Infrastructure Cost Optimization Strategies
•Performance Tuning for AI Systems & Workloads
We are looking for a Proofreader
What you will do:
- Adapt existing content for different platforms (website, app, email, SMS, social, etc.).
- Ensure tone, style, and length fit each platform while maintaining the original message intent.
- Review adapted copies for clarity, accuracy, and brand consistency.
- Coordinate with writers, designers, and marketing teams to ensure seamless delivery across touchpoints.
What you won’t do:
- Create new content or campaign concepts from scratch.
- Handle content strategy, ideation, or creative storytelling.
Recruitment Process
Stage 1: Resume Screening
Stage 2: Virtual Interview (30 mins)
Stage 3: In-Office Practical (45 mins) + Final Interview
Stage 4: Offer Letter
About Noisy Lion:
We help international brands & creative agencies build remote creative teams 10X faster. If you're looking for a team that's all about collaboration, growth, inclusivity, and good vibes, then you've found your perfect match. Come join us and let’s make things run seamlessly together! We offer:
- Inclusive and flexible work environment
- Best processes and work practices
- International clientele
- Unique learning & growth opportunity
- 5-day work week
We’d love to connect if you have an eye for detail and care about getting every word right.
Urgent Hiring !!!
We are looking for Flutter Developer,
1+ years of experience in developing native and cross-platform mobile applications
Experience in one of the programming languages: (Java and Kotlin (Android) Swift and Objective-C (iOS))
React Native (hybrid development)
Knowledge of Flutter SDK, Getex, Provider, Android Studio and IntelliJ, Visual Studio Code,
SQLite, MySQL, and PostgreSQL databases
REST APIs
Experience with Git and Jira
Familiarity with Agile development approaches
Experience: 1 to 2 years
Location: Surat (onsite & fulltime)
Job Purpose
Responsible for managing end-to-end database operations, ensuring data accuracy, integrity, and security across systems. The position plays a key role in driving data reliability, availability, and compliance with operational standards.
Key Responsibilities:
- Collate audit reports from the QA team and structure data in accordance with Standard Operating Procedures (SOP).
- Perform data transformation and validation for accuracy and consistency.
- Upload processed datasets into SQL Server using SSIS packages.
- Monitor and optimize database performance, identifying and resolving bottlenecks.
- Perform regular backups, restorations, and recovery checks to ensure data continuity.
- Manage user access and implement robust database security policies.
- Oversee database storage allocation and utilization.
- Conduct routine maintenance and support incident management, including root cause analysis and resolution.
- Design and implement scalable database solutions and architecture.
- Create and maintain stored procedures, views, and other database components.
- Optimize SQL queries for performance and scalability.
- Execute ETL processes and support seamless integration of multiple data sources.
- Maintain data integrity and quality through validation and cleansing routines.
- Collaborate with cross-functional teams on data solutions and project deliverables.
Educational Qualification: Any Graduate
Required Skills & Qualifications:
- Proven experience with SQL Server or similar relational database platforms.
- Strong expertise in SSIS, ETL processes, and data warehousing.
- Proficiency in SQL/T-SQL, including scripting, performance tuning, and query optimization.
- Experience in database security, user role management, and access control.
- Familiarity with backup/recovery strategies and database maintenance best practices.
- Strong analytical skills with experience working with large and complex datasets.
- Solid understanding of data modeling, normalization, and schema design.
- Knowledge of incident and change management processes.
- Excellent communication and collaboration skills.
- Experience with Python for data manipulation and automation is a strong plus.
We are looking for a Senior iOS Developer, who should be able to
- Strong knowledge on iPad, iPhone And Mobile compatibility developments.
- Solid understanding of iOS application architecture patterns (e.g., MVC, MVVM).
- Proficient in working with RESTful APIs and integrating third-party libraries.
- Strong knowledge of software engineering principles, design patterns, and best practices.
- Familiarity with agile development methodologies.
- Excellent problem-solving and analytical skills.
- Ability to work independently.
- Strong communication and interpersonal skills.
| Demonstrated understanding of cloud software architectures |
| Experience solving problems following SOLID and OO design principles |
| Demonstrated ability in supporting customers and/or internal teams supporting software under customer usage scenarios |
| Demonstrated understanding of software design, analysis and programming using Node.js and Typescript/JavaScript |
| SOA Experience on API integration is must |
| Strong Experience working UI technologies. Angular preferred. |
| Experience with CI/CD methodoligies. |
| Experience developing software in a serverless cloud environment (AWS preferable) |
| Demonstrated expertise with debugging / performance profiling |
| Experience with software version control and release |
| Demonstrated attention to detail and ability to analyze complex interdependent variables |
| Demonstrated verbal and written communication skills |
| Ability to work effectively within a team environment and lead junior engineers |
| Quality consciousness |
| Minimum 4 years of cloud software development experience (AWS preferred) |
| Preferably BS degree in Computer Science, Computer Engineering , or Electrical Engineering. |
ML Engineer-Analyst/ Senior Analyst
Job purpose:
To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.
Accountabilities:
- Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
- Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.
- Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.
- Analyze the errors of the model and design strategies to overcome them.
- Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
Qualifications & Specifications
- Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference
- Experience of machine learning algorithms and libraries
- Understanding of data structures, data modeling and software architecture.
- Deep knowledge of math, probability, statistics and algorithms
- Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon
- Big data environment: Hadoop, Spark
- Programming languages: Python, R, PySpark
- Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means
clustering, ensemble models, random forest, svm, gradient boosting
- Sampling data: bagging & boosting, bootstrapping
- Neural networks: ANN, CNN, RNN related topics
- Deep learning: Keras, Tensorflow
- Experience with AWS Sagemaker deployment and agile methodology
https://www.alivecor.com/">AliveCor, the pioneer of the smartphone EKG, with millions of EKGs from a large and growing user base, seeks a Senior Android Software Engineer to contribute to the mobile application team. You will be an integral member of our engineering team, responsible for developing industry-leading mobile applications that transform the healthcare industry and affect the way consumers use, engage, and act on their health data.
Responsibilities
- Collaborate closely with our AI, security, backend, hardware, and product teams to deliver mission critical software.
- Work in a fast-paced agile environment, delivering quality estimates, designs, and implementations.
- Problem solve for complex global business requirements.
- Accountable for all aspects of modern software development.
- Proactive in identifying problems and a team player when presenting solutions.
- Excellent communications skills.
- Commitment to delivering results.
- Passionate about continuous improvement.
Qualifications and Skills
- BE in Computer Science or a related discipline, or related practical experience.
- 5-8 years of Android programming experience. You’ve shipped multiple apps to the Play Store.
- Deep expertise with Java and Android SDKs.
- Experience with Android frameworks such as Retrofit, RxJava, Dagger, Junit, Mockito.
- Experience with modern programming principles, design patterns and development tools.
- Familiarity with RESTful APIs to connect Android applications to back-end services.
About Us
AliveCor is on a mission to define modern healthcare through data, design and disruption. We’ve pioneered the creation of FDA-cleared machine-learning techniques, transformed wearable medtech to put proactive heart care at everyone’s fingertips. Kardia is the most clinically validated mobile EKG technology. AliveCor was named as one of the Top 10 Most Innovative Companies in Health for 2017 by Fast Company as part of the publication’s annual ranking of the world’s Most Innovative Companies. AliveCor was awarded the 2015 Tech Pioneer by the World Economic Forum and one of the 50 Smartest Companies in 2015 by the MIT Technology Review. AliveCor recently announced a collaboration with Mayo Clinic that will result in new machine learning capabilities to unlock previously hidden health indicators in EKG data, potentially improving heart health as well as overall health care for a variety of conditions. AliveCor is a privately held company headquartered in Mountain View, CA.
Watch the following video demonstrating our product.
https://www.youtube.com/watch?v=8I9xosgA-Ig">KardiaMobile: How's your heart?
https://www.youtube.com/watch?v=8I9xosgA-Ig">https://www.youtube.com/watch?v=8I9xosgA-Ig











