
Thinkdeeply
https://www.thinkdeeply.comAbout
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Jobs at Thinkdeeply

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We are looking for a front end engineer with focus on UI/UX engineer with superb technical and aesthetic aptitude. The front end engineer will primarily be responsible for building and delivering custom solutions for our customers including the graphic design, experience design, and coding of the front ends. In this role, we expect you to gain an intimate understanding of your user and the value they’ll derive from the solution and develop user interfaces to deliver that value to the user in an ideal manner. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a propensity for taking action.
Although your primary responsibilities will be around front-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management of applications.
As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.
Skills
Required Skills:
- 5+ years in architecting and building Single Page Applications (SPA)
- Shipped at least 2+ applications using Angular/AngularJs
- Expertise in building Angularjs and Angular with integration and unit tests
- Experience in upgrading angular/js versions and converting angularjs -> angular.
- Good working knowledge of other frameworks such as REACT, nodejs, meteor etc.
- Experience with package management tools such as webpack for minification, uglification etc
- Experience with creating embeddable widgets
- Expertise with CSS frameworks such as Bootstrap4
Desired Skills:
- Demonstrated expertise of building cloud native applications
- Familiarity with administration of CI/CD such as jenkins
Responsibilities
- Develop new user-facing features
- Build reusable code and libraries for future use
- Collaborate with other team members and stakeholders to create UI/UX designs
- Ensure the technical feasibility of UI/UX designs
- Optimize application for maximum speed and scalability
- Collaborate with other team members and stakeholders

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




Job Description
Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.
Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.
Experience
10+ Years
Location
Bozeman/Hyderabad
Skills
Required Skills:
Bachelors/Masters or Phd in Computer Science or related industry experience
3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow
7+ Years of industry experience in scripting languages such as Python, R.
7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing
Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc
Some experience in setting up large scale training data pipelines.
Some experience in using Cloud services such as AWS, GCP, Azure
Desired Skills:
Experience in building deep learning models for Computer Vision and Natural Language Processing domains
Experience in productionizing/serving machine learning in industry setting
Understand the principles of developing cloud native applications
Responsibilities
Collect, Organize and Process data pipelines for developing ML models
Research and develop novel prototypes for customers
Train, implement and evaluate shippable machine learning models
Deploy and iterate improvements of ML Models through feedback

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
We are looking for an experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.
Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.
Experience
12+ Years
Location
Hyderabad
Skills
Bachelors/Masters/Phd in CS or equivalent industry experience
10+ years of industry experience in java related frameworks such as Spring and/or Typesafe
Experience with scripting languages. Python experience highly desirable. 5+ Industry experience in python
Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
Demonstrated expertise of building and shipping cloud native applications
Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
Experience in API development using Swagger
Strong expertise with containerization technologies including kubernetes, docker-compose
Experience with cloud platform services such as AWS, Azure or GCP.
Implementing automated testing platforms and unit tests
Proficient understanding of code versioning tools, such as Git
Familiarity with continuous integration, Jenkins
Responsibilities
Architect, Design and Implement Large scale data processing pipelines
Design and Implement APIs
Assist in dev ops operations
Identify performance bottlenecks and bugs, and devise solutions to these problems
Help maintain code quality, organization, and documentation
Communicate with stakeholders regarding various aspects of solution.
Mentor team members on best practices

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


Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.
Seeking a Full Stack Engineer with high aptitude toward development.
Experience
5+ Years
Location
Hyderabad
Skills
Bachelors/Masters/Phd in CS or equivalent industry experience
5+ years of industry experience in python related frameworks such as Django, Fast API
3+ Industry experience in angularjs/react
Understand the principles of developing cloud native applications
Experience in administering (including setting up, managing, monitoring) application on heroku
Experience in API development using Swagger
Strong expertise with containerization technologies including kubernetes, docker-compose
Implementing automated testing platforms and unit tests
Proficient understanding of code versioning tools, such as Git
Familiarity with continuous integration, Jenkins
Responsibilities
Implement marketplace using DJango and Angular
Design and Implement APIs
Assist in dev ops operations
Identify performance bottlenecks and bugs, and devise solutions to these problems
Help maintain code quality, organization, and documentation
Communicate with stakeholders regarding various aspects of solution.
Mentor team members on best practices

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