
culture and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
for NLP/NLR/NLU
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.

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.Responsibilities
Edit and assemble raw video footage into engaging and compelling content for digital platforms.
Collaborate with writers, directors, and producers to create promo videos, teasers, and short-form narratives.
Add motion graphics, transitions, music, and sound effects to enhance storytelling.
Ensure all content aligns with StoryTV’s creative vision and audience expectations.
Optimize videos for multiple platforms (YouTube, Instagram, OTT-style distribution, etc.).
Manage multiple projects simultaneously while adhering to timelines.
Stay updated with the latest editing trends, tools, and storytelling formats.
Requirements
2–5 years of experience as a Video Editor in entertainment, digital media, or advertising.
Proficiency in editing software such as Adobe Premiere Pro, After Effects, Final Cut Pro, or DaVinci Resolve.
Strong understanding of pacing, storytelling, and audience engagement in short-form content.
Basic knowledge of color grading, audio syncing, and sound design.
Creativity and attention to detail, with the ability to take feedback and iterate quickly.
Ability to thrive in a fast-paced, high-growth startup environment.
Are you an Android Developer who has very good knowledge on the fundamentals of Android programming and can write efficient code in a minimalistic way? Join Telyport as an Android Engineer. You will be given designs that you will convert to working applications with all the required business logic
You should have a strong command over either Java or Kotlin. You should also be familiar with at least one of the Android architectures like MVP, MVVM and MVI.
We are looking for someone who has worked on applications that involve exchanging data over the internet, loading images, lazy loading, shared preferences, saving and reading to local database and shared preferences.
A strong understanding of the Activity life cycle in android is a must. We prefer someone who has good knowledge of location tracking and background services in Android.
Responsibilities
-
Develop and code interfaces based on accepted design standards
- Build responsive applications which are compatible on Android devices of different sizes
- Build modular components for reusability. Write services or modules responsible for certain tasks
- Write well defined models for network calls Write well defined documentation for methods.
- Code animations which are highly optimized and efficient
- Writing code so that they can be scaled
- Follow the release process and adhere to time constraint for developing a project or its modules
Skills -
- Should implement at leave one of MVVM, MVP or MVI architecture - Strong command over Java/Kotlin. - Adapt the app to adjust and fit various screen types. - Very good understanding of Git. - Should write minimalistic code
- Must have worked on applications with databases
- 2+ year experience in Android App Development
- Must know how to debug and traceback errors in the app
- Should have worked with FCM notifications and custom notification handling
Principal Accountabilities :
1. Good in communication and converting business requirements to functional requirements
2. Develop data-driven insights and machine learning models to identify and extract facts from sales, supply chain and operational data
3. Sound Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting Trees, Time Series Forecasting, etc.
5. Experience in SOTA Deep Learning techniques to solve NLP problems.
6. End-to-end data collection, model development and testing, and integration into production environments.
7. Build and prototype analysis pipelines iteratively to provide insights at scale.
8. Experience in querying different data sources
9. Partner with developers and business teams for the business-oriented decisions
10. Looking for someone who dares to move on even when the path is not clear and be creative to overcome challenges in the data.
Who should Apply:.
• iOS Engineers with 2-4 years of experience in iOS app development using Swift or
objective C.
• Engineers with working experience in Swift or Objective C, iOS Frameworks, various
architecture patterns, OOPs concepts, MVVM etc.
• Experienced with iOS frameworks such as Core Data, Core Animation, UI Kitetc.
• Hands-on experience in multi-threaded programming and good knowledge of
networking concepts along with enhancing profiling apps.
• Hands-on with the tools like Git Bitbucket, JIRA, or Confluence.
• Experience of accessing data as JSON/ XML using REST APIs.
• Good to be experienced on Swift UI, Swift Package Manager, Swift Lint
• Knowledge of iOS design patterns and best practices.
Responsibilities
- Ideate, execute & take ownership of complete project from scratch
- Create and design User-focused focused SAAS with high end experience
- Optimize existing architecture for performance, scalability & functionality
- Generate modular & clean codes
- Deploy & maintain project’s infrastructure with zero downtime
Skill Sets
- Sharp communication skills
- Fluent in Problem Solving, Data Structures And Algorithms
- Strong in Java Spring Boot & Python Django languages & frameworks
- Experience with database design & familiar with RDBMS database like Postgresql as well as no SQL databases
- Good with writing unit test cases & integration test cases
- Well versed in writing Asynchronous codes or technologies
- Exposed to various AWS technologies like EC2, Cognito, API Gateway,ECS etc.
- Exposed to Pub-sub technologies like SQS,Kafka, RabbitMQ, etc.
- Familiar with caching tools like Redis, HazleCaste, etc.
- Exposure to DevOps and Big Data is a plus.
Amagi is a SaaS platform that lets every content owner deliver their content to consumers anytime, anywhere, to any device. Amagi helps bring entertainment to hundreds of millions of consumers leading the transformation in media consumption. We believe in a connected ecosystem bringing content owners, distribution platforms, consumers and advertisers together to create great experiences.
Amagi grew by 136% last year and is on its way to double itself again this year. The market leader in FAST (Free Ad-supported Streaming TV), it delivers more than 500 media brands to 1500+ end points and is growing exponentially.
At Amagi, our CRM Platform is key to our continued growth. The success of our sales, marketing and customer onboarding teams is dependent on the success of our Salesforce CRM platform setup and its ability to provide scalable, reliable and intuitive experiences to our customers, partners and internal stakeholders.
We are looking for an Engineering Manager to help us lead the efforts of building our billing platform and related process automation solutions. The ideal candidate would be responsible for the successful delivery of a scalable and flexible billing platform and workflows related to accounts receivable and accounts payable.
Role reporting into: Engineering Director - Enterprise Platforms
Individuals reporting into this role: Architect, Staff Software Engineer, Software Tech Lead
Location: Bangalore, India
Key responsibilities include (but are not limited to):
- Lead the core Engineering activities in an Agile model
- Participate in the overall design and development discussions
- Work closely with the Product Management team to establish product and engineering roadmaps.
- Provide architectural and technical guidance to the team and ensure they follow sound engineering practices
- Demonstrate accountability towards intended business outcomes, by working with product management and other functional teams.
- Evaluating Salesforce Standard vs Custom solutions and guide the team.
- Lead the Salesforce implementation related to marketing, sales and order management processes.
Person Specification:
- 10+ years of overall SDLC experience with 6+ years of experience in Salesforce development and architecture
- Implementation experience with Sales Cloud, Service Cloud, Marketing Cloud and/or Revenue Cloud.
- Hands-on with experience with Apex, Lightning web component and REST API programmatic solutions.
- Strong command of Salesforce best practices
- Strong web development skills (JavaScript, HTML, CSS).
- Experience developing the usage/subscription based billing for SaaS products.
- Salesforce certifications
- Strong in CS fundamentals (object oriented analysis, data structures, algorithms)
- Knowledge of Finance & Operations concepts
- Salesforce integration experience with NetSuite, Jira etc.
-Experience in Python and sql
-Experience in software development
-Knowledge of the Software Development Life Cycle
-Interpreting API documentation of cloud-based applications
SpringML is looking to hire a top-notch Data Engineer who is passionate about working with data and using the latest distributed framework to process large datasets. As a Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.
Title-Data Engineers
Location-Hyderabad
Work Timings-10.00 AM-06.00 PM
RESPONSIBILITIES:
Ability to work as a member of a team assigned to design and implement data integration solutions.
Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
Propose design solutions and recommend best practices for large scale data analysis
SKILLS:
B.tech degree in computer science, mathematics or other relevant fields.
Good Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
Role : Business Development Manager
Department : Sales
Location : Gurgaon (Sector 58) - Work from Office - 6 Days Working
Experience : Should have worked in edtech industry or in a company with inside sales
Roles & Responsibilities:
- Manage a team of 25-30 BDAs who will be remotely working across different cities in India
- Achieve sales targets which will be defined every month
- Drive sales operation efficiency by ensuring overall funnel movement starting from lead generation to pipe building to closures
- Own cash collection targets for the team
- Contribute towards growth of business and brand building across tier 2/3 cities in the country
- Be the eyes and ears for the company in terms of understanding customer needs and suggesting product improvements needed to grow
Requirements:
- 4-6 years of experience in managing large teams of sales
- Strong experience in managing remote working teams
- Managed business of at least 50 lakhs INR in a month
- MBA preferred but not mandatory
- Highly target oriented and an excellent task master meaning he/she can get things executed through BDAs
- Strong in review and understanding of sales operations processes










