Career2022-02-09T10:26:57+00:00
Senior Machine Learning Engineer – Full-time | Open positions – 3 | Experience – 5+ years2022-02-08T06:47:38+00:00
Job description

Full time Machine Learning Engineer who is interested in developing cutting edge technologies for real-world next generation AI-driven insights platform. The ideal candidate will be equally comfortable with theoretical thinking, coding and academic writing.

Experience

5-7 Years

Responsibilities
  1. Implementing highly scalable Natural Language Processing (NLP) and Data Science services capable of processing extremely large volumes of data (in the order of several billions of documents per day).
  2. Contributing to the design of highly available, highly scalable, machine learning workflows.
  3. Create and implement non-standard, fresh and creative scientific ideas to improve or speed up existing technologies
  4. Push the ideas to improve the quality of designed models in terms of product requirements
  5. Support and justify the new ideas with a theoretical and intuitive basis
  6. Collaborate with product managers and dive deeper into the usage of the research, brainstorm
    with the product team on developing new creative ideas
  7. Follow up and support the development of models in an end-to-end manner: from design to production
  8. Analyze, Interpret and explain outcomes of non-trivial experiments.
  9. Analyze the data used in experiments, understand the subtleties of it, modify appropriately if
    necessary
  10. Communicate with data and product teams, write clear and understandable research requirement documents
  11. Collaborate with other scientists, exchange novel and interesting ideas, and reflect these ideas in the research process.
Skills Requirement
  1. Strong working knowledge (at least 5 years) of Java or Python.
  2. Strong working knowledge (at least 3 years) of machine learning frameworks, in particular TensorFlow and Keras.
  3. Good knowledge of data analysis and machine learning, in particular around Natural Language
    Processing.
  4. Good knowledge of micro-service design and implementation (e.g., SpringBoot, Gunicorn, Flask,
    Django).
  5. Familiarity with infrastructure as code (e.g., Terraform, Cloud formation, Serverless), continuous integration and deployment (e.g., CircleCI, Drone.io, Jenkins), configuration management, dependency management (e.g., Maven, Gradle, PyPi), containerization technologies, e.g., Docker.
  6. Experience with performance-driven design.
  7. Good knowledge of Unix/Linux systems and bash/shell scripting.
Required Qualifications

UG : B.Tech/B.E. in Any Specialization
PG : Any Postgraduate

Machine Learning Engineer – Full-time | Open positions – 3 | Experience – 2+ years2021-12-17T08:03:02+00:00
Job description

Full time Machine Learning Engineer who is interested in developing cutting edge technologies for real-world next generation AI-driven insights platform. The ideal candidate will be equally comfortable with theoretical thinking, coding and academic writing.

Experience

2-4 Years

Responsibilities
  1. Implementing highly scalable Natural Language Processing (NLP) and Data Science services
    capable of processing extremely large volumes of data
  2. Contributing to the design of highly available, highly scalable, machine learning workflows.
  3. Create and implement non-standard, fresh and creative scientific ideas to improve or speed up
    existing technologies
  4. Collaborate with product managers and dive deeper into the usage of the research, brainstorm
    with the product team on developing new creative ideas
  5. Follow up and support the development of models in an end-to-end manner: from design to
    production
  6. Analyze, Interpret and explain outcomes of non-trivial experiments.
  7. Analyze the data used in experiments, understand the subtleties of it, modify appropriately if
  8. Analyze the data used in experiments, understand the subtleties of it, modify appropriately if
    necessary
Skills Requirement
  1. Strong working knowledge (at least 3 years) of Java or Python.
  2. Strong working knowledge (at least 1 years) of machine learning frameworks, in particular
    TensorFlow and Keras.
  3. Working knowledge of Java or Python.
  4. Working knowledge of machine learning frameworks, in particular TensorFlow and Keras.
  5. Good knowledge of data analysis and machine learning, in particular around Natural Language
    Processing.
  6. Familiarity with infrastructure as code (e.g., Terraform, Cloud formation, Serverless), continuous integration and deployment
  7. Good knowledge of Unix/Linux systems and bash/shell scripting.
Required Qualifications

UG: B.Tech/B.E. in Any Specialization
PG: Any Postgraduate

Senior Full-Stack Engineer – Full-time | Open positions – 5 | Experience – 5+ years2021-12-17T08:01:33+00:00
EXPERIENCE

6-8 Years

ROLES & RESPONSIBILITIES
  1. The candidates should be able to create requirements, build use cases, define interfaces and then translate them into technical implementations.
  2. Well versed with Core java / Multi-threading / concurrent programming / Exception Handling.
  3. Experience in collection framework/ MySQL / Oracle.
  4. Good knowledge in web technologies like HTML5.
  5. Experience implementing design patterns.
  6. Experience with server-side performance tuning.
  7. Experience in working with large datasets. Rapidly fixing bugs and solving technical challenges.
  8. Knowledge of best practices in writing optimized server side programs.
  9. Projects will range from prototype application development to customized integration, including portal interfaces, remote access tools, hosted services, reporting, and back-end processes.
  10. 5+ years of development and design experience in Software Development.
  11. Being led as a lean start up, the team is engaged in conceptualization, development, successful delivery and adoption support for our customers.
  12. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
  13. As a Full Stack Developer, you will be responsible for the end to end phases of the software development lifecycle including technical research, requirements analysis, high level and technical design, improving user experience, shaping the face of our new products, building internal tools, implementation of enhancements to the product, unit testing, debugging, and maintenance.
TECHNICAL KNOWLEDGE
  1. Strong proficiency in JavaScript, HTML, CSS.
  2. Proficient knowledge of React.js core and Node.js principles.
  3. Developing and implementing highly interactive and responsive user interface components using React/Node / Material UI.
  4. Troubleshooting interface software and debugging application codes
  5. Translating designs, wireframes into high quality code.
  6. Building reusable components and front-end libraries using React/Material UI.
  7. Familiarity with RESTful APIs and Integrate front end React application with server-side API.
  8. Experience with common front-end development tools like Babel, Webpack, NPM.
  9. Develop high performant server-side application using Node.js and Express.js.
  10. Integrate with third party webservices.
  11. User authentication and authorization between multiple systems, servers access providing services like Okta.
  12. Proficient understanding of code versioning tools, such as Git.
  13. Knowledge of performance testing frameworks including Mocha and Jest.
  14. Familiarity with modern front-end build pipelines and tools such as Azure DevOps.
  15. Knowledge of relational databases, NoSQL databases (MSSQL, Mongo, Azure Cosmos) will be an advantage.
  16. Working knowledge of cloud platforms like Azure/AWS.
  17. Debug and refactor existing applications, software modules.
REQUIRED QUALIFICATIONS

UG : B.Tech/B.E.
PG : Any Postgraduate

Full-Stack Engineer- Full-time | Open positions – 5 | Experience – 2+ years2022-02-09T08:56:08+00:00
EXPERIENCE

2-5 Years

ROLES & RESPONSIBILITIES
  1. The candidates should be able to create requirements, build use cases, define interfaces and then translate them into technical implementations.
  2. Well versed with Core java / Multi-threading / concurrent programming / Exception Handling.
  3. Experience in collection framework/ MySQL / Oracle.
  4. Good knowledge in web technologies like HTML5.
  5. Experience implementing design patterns.
  6. Experience with server-side performance tuning.
  7. Experience in working with large datasets. Rapidly fixing bugs and solving technical challenges.
  8. Knowledge of best practices in writing optimized server side programs.
  9. Projects will range from prototype application development to customized integration, including portal interfaces, remote access tools, hosted services, reporting, and back-end processes.
  10. 5+ years of development and design experience in Software evelopment.
  11. Being led as a lean start up, the team is engaged in conceptualization, development, successful delivery and adoption support for our customers.
  12. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
  13. As a Full Stack Developer, you will be responsible for the end to end phases of the software development lifecycle including technical research, requirements analysis, high level and technical design, improving user experience, shaping the face of our new products, building internal tools, implementation of enhancements to the product, unit testing, debugging, and maintenance.
TECHNICAL KNOWLEDGE
  1. Strong proficiency in JavaScript, HTML, CSS.
  2. Proficient knowledge of React.js core and Node.js principles.
  3. Developing and implementing highly interactive and responsive user interface components using React/Node / Material UI.
  4. Troubleshooting interface software and debugging application codes
  5. Translating designs, wireframes into high quality code.
  6. Building reusable components and front-end libraries using React/Material UI.
  7. Familiarity with RESTful APIs and integrate front end React application with server-side API.
  8. Experience with common front-end development tools like Babel, Webpack, NPM.
  9. Develop high performant server-side application using Node.js and Express.js. Integrate with third party webservices.
  10. User authentication and authorization between multiple systems, servers access providing services like Okta.
  11. Proficient understanding of code versioning tools, such as Git.
  12. Knowledge of performance testing frameworks including Mocha and Jest.
  13. Familiarity with modern front-end build pipelines and tools such as Azure DevOps.
  14. Knowledge of relational databases, NoSQL databases (MSSQL, Mongo, Azure Cosmos) will be an advantage.
  15. Working knowledge of cloud platforms like Azure/AWS.
  16. Debug and refactor existing applications, software modules.
REQUIRED QUALIFICATIONS

UG : B.Tech/B.E. in Any Specialization
PG : Any Postgraduate

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