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Founded :
2014
Type :
Product
Size :
100-500
Stage :
Profitable

About

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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Siddarth Thakur

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Jobs at Scry AI

Scry AI
at Scry AI
1 recruiter
Shubhangi Mishra
Posted by Shubhangi Mishra
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Gurugram, Pune, Hyderabad
3 - 6 yrs
₹10L - ₹25L / yr
skill iconAngularJS (1.x)
skill iconAngular (2+)
skill iconReact.js
skill iconNodeJS (Node.js)
skill iconMongoDB
+2 more

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
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Scry AI
at Scry AI
1 recruiter
Siddarth Thakur
Posted by Siddarth Thakur
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only
3 - 8 yrs
₹15L - ₹20L / yr
PySpark
Data engineering
Big Data
Hadoop
Spark
+6 more

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.
Read more
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