

Scry AI
https://scryai.comAbout
Scry AI invents, designs, and develops cutting-edge technology-based Enterprise solutions powered by Machine Learning, Natural Language Processing, Big Data, and Computer Vision.
Scry AI is an R&D organization leading innovation in business automation technology and has been helping companies and businesses transform how they work.
Catering to core industries like Fintech, Healthcare, Communication, Mobility, and Smart Cities, Scry has invested heavily in R&D to build cutting-edge product suites that address challenges and roadblocks that plague traditional business environments.
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Jobs at Scry AI
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Title: Full Stack Developer: MERN/MEAN
Experience:3 - 6 years
Location: Gurgaon / Hyderabad
Salary: Competitive as per Industry Standard
We are searching for a talented and experienced web application developer to join a highly agile/scrum development team to develop our next-generation data analytics applications. This is a senior technical role and the successful candidate must demonstrate a proven track record of developing enterprise-grade web front-end using technologies such as MEAN stack, JavaScript, Ajax, and JSON.
Primary responsibilities include:
- Lead and develop web applications and data visualizations for our big data analytics platform.
- Develop Proof-of-Concept and prototype applications using new technologies and frameworks. In addition to collaborating with internal teams and clients to create innovative solutions.
- Help establish GUI best practices and JavaScript frameworks for web development
- Provide technology and implementation expertise to domains, projects, or clients
- Maintain leading-edge knowledge in emerging technologies and frameworks; participate in knowledge sharing and lessons learned sessions from project experiences
What you need for this position:
- 3+ Years of relevant experience.
- Hands-on Expertise in javascript-based frameworks and technologies such as ExpressJS, Angular (all versions), and NodeJS.
- Experience in building high-performance multi-user web-scale applications and portals. ● Familiarity with visualization libraries like D3 JS, Kibana, etc.
- Proven experience in developing software using the Agile/SCRUM development methodology.
- command of web standards, CSS-based design, and cross-browser compatibility.
- Attention to detail, Dedication, and Problem Solving skills.
- Knowledge of Elasticsearch, Neo4j / VoltDB / MongoDB / Redis is good to have.
- Good understanding of developer tools and DevOps such as Git, Ansible, cloud platforms such as AWS, Docker, etc is good to have.
- Preferred, not mandatory - Prior experience in mobile development (Hybrid app- Ionic/Cordova, React Native)
Our perfect candidate is someone who:
- Is proactive and an independent problem solver
- Is a constant learner. We are a fast-growing company. We want you to grow with us!
- Is a team player and a good communicator
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)
Salary: Competitive as per Industry Standard
We are expanding our Data Engineering Team and hiring passionate professionals with extensive
knowledge and experience in building and managing large enterprise data and analytics platforms. We
are looking for creative individuals with strong programming skills, who can understand complex
business and architectural problems and develop solutions. The individual will work closely with the rest
of our data engineering and data science team in implementing and managing Scalable Smart Data
Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale
Processing Clusters, Data Mining and Search Engines.
What You’ll Need:
- 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal
Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied
data types.
- Proficiency in Python, Linux and shell scripting.
- Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
● Strong experience in developing the infrastructure required for data ingestion, optimal
extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory, Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).
- Working knowledge of github or other version control tools.
- Experience with creating Restful web services and API platforms.
- Work with data science and infrastructure team members to implement practical machine
learning solutions and pipelines in production.
- Experience with cloud providers like Azure/AWS/GCP.
- Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
- Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
- Strong analytic skills related to working with unstructured datasets.
Good to have (to filter or prioritize candidates)
- Experience with testing libraries such as pytest for writing unit-tests for the developed code.
- Knowledge of Machine Learning algorithms and libraries would be good to have,
implementation experience would be an added advantage.
- Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
- Knowledge of Azure functions , Elastic search etc will be good to have.
- Having experience with model versioning (mlflow) and data versioning will be beneficial
- Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.
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We started with a simple question: w̲h̲a̲t̲ i̲f̲ y̲o̲u̲r̲ t̲e̲a̲m̲ c̲o̲u̲l̲d̲ f̲o̲c̲u̲s̲ o̲n̲ w̲h̲a̲t̲ t̲h̲e̲y̲ l̲o̲v̲e̲ m̲o̲s̲t̲?̲
𝐎𝐮𝐫 𝐚𝐧𝐬𝐰𝐞𝐫:
AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐮𝐬:
Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
Ready to give your team superpowers?
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